1.supported multiple file uploads

2. added image refresh after information extraction
3. removed some error on extractor html

Layoutlmv3_inference/annotate_image.py

@@ -4,53 +4,53 @@ from .utils import image_label_2_color
 
 
 def get_flattened_output(docs):
-  print("Running Flattened Output")
-  flattened_output = []
-  annotation_key = 'output'
-  for doc in docs:
-    flattened_output_item = {annotation_key: []}
-    doc_annotation = doc[annotation_key]
-    for i, span in enumerate(doc_annotation):
-      if len(span['words']) > 1:
-        for span_chunk in span['words']:
-          flattened_output_item[annotation_key].append(
-              {
-                  'label': span['label'],
-                  'text': span_chunk['text'],
-                  'words': [span_chunk]
-              }
-          )
-          
-      else:
-        flattened_output_item[annotation_key].append(span)
-    flattened_output.append(flattened_output_item)
-  return flattened_output
+    print("Running Flattened Output")
+    flattened_output = []
+    annotation_key = 'output'
+    for doc in docs:
+        flattened_output_item = {annotation_key: []}
+        doc_annotation = doc[annotation_key]
+        for i, span in enumerate(doc_annotation):
+            if len(span['words']) > 1:
+                for span_chunk in span['words']:
+                    flattened_output_item[annotation_key].append(
+                        {
+                            'label': span['label'],
+                            'text': span_chunk['text'],
+                            'words': [span_chunk]
+                        }
+                    )
+
+            else:
+                flattened_output_item[annotation_key].append(span)
+        flattened_output.append(flattened_output_item)
+    return flattened_output
 
 
 def annotate_image(image_path, annotation_object):
-  print("Annotating Images")
-  img = None
-  image = Image.open(image_path).convert('RGBA')
-  tmp = image.copy()
-  label2color = image_label_2_color(annotation_object)
-  overlay = Image.new('RGBA', tmp.size, (0, 0, 0)+(0,))
-  draw = ImageDraw.Draw(overlay)
-  font = ImageFont.load_default()
-
-  predictions = [span['label'] for span in annotation_object['output']]
-  boxes = [span['words'][0]['box'] for span in annotation_object['output']]
-  for prediction, box in zip(predictions, boxes):
-      draw.rectangle(box, outline=label2color[prediction],
-                     width=3, fill=label2color[prediction]+(int(255*0.33),))
-      draw.text((box[0] + 10, box[1] - 10), text=prediction,
-                fill=label2color[prediction], font=font)
-
-  img = Image.alpha_composite(tmp, overlay)
-  img = img.convert("RGB")
-
-  image_name = os.path.basename(image_path)
-  image_name = image_name[:image_name.find('.')]
-  output_folder = 'static/temp/inferenced/'
-  os.makedirs(output_folder, exist_ok=True)
-
-  img.save(os.path.join(output_folder, f'{image_name}_inference.jpg'))
+    print("Annotating Images")
+    img = None
+    image = Image.open(image_path).convert('RGBA')
+    tmp = image.copy()
+    label2color = image_label_2_color(annotation_object)
+    overlay = Image.new('RGBA', tmp.size, (0, 0, 0)+(0,))
+    draw = ImageDraw.Draw(overlay)
+    font = ImageFont.load_default()
+
+    predictions = [span['label'] for span in annotation_object['output']]
+    boxes = [span['words'][0]['box'] for span in annotation_object['output']]
+    for prediction, box in zip(predictions, boxes):
+        draw.rectangle(box, outline=label2color[prediction],
+                       width=3, fill=label2color[prediction]+(int(255*0.33),))
+        draw.text((box[0] + 10, box[1] - 10), text=prediction,
+                  fill=label2color[prediction], font=font)
+
+    img = Image.alpha_composite(tmp, overlay)
+    img = img.convert("RGB")
+
+    image_name = os.path.basename(image_path)
+    image_name = image_name[:image_name.find('.')]
+    output_folder = 'static/temp/img_display/'
+    os.makedirs(output_folder, exist_ok=True)
+
+    img.save(os.path.join(output_folder, f'{image_name}.jpg_inference.jpg'))

Layoutlmv3_inference/ocr.py

@@ -7,6 +7,7 @@ import requests
 import traceback
 import tempfile
 
+FLASK_DEBUG=1
 from PIL import Image
 
 def preprocess_image(image_path, max_file_size_mb=1, target_file_size_mb=0.5):
@@ -75,8 +76,41 @@ def enhance_txt(img, intensity_increase=20, bilateral_filter_diameter=9, bilater
     img = cv2.bilateralFilter(img, bilateral_filter_diameter, bilateral_filter_sigma_color, bilateral_filter_sigma_space)
 
     _, binary = cv2.threshold(blurred, threshold, 255, cv2.THRESH_BINARY)
-    return binary
 
+    # Find contours in the edged image, keep only the largest ones, and initialize our screen contour
+    contours, _ = cv2.findContours(edged.copy(), cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
+    contours = sorted(contours, key = cv2.contourArea, reverse = True)[:5]
+
+    # Initialize a variable to hold the screen contour
+    screenContour = None
+
+    # Loop over the contours
+    for c in contours:
+        # Approximate the contour
+        peri = cv2.arcLength(c, True)
+        approx = cv2.approxPolyDP(c, 0.02 * peri, True)
+
+        # If our approximated contour has four points, then we can assume that we have found our screen
+        if len(approx) == 4:
+            screenContour = approx
+            break
+
+    # If no contour is found or the contour is small, use the whole image
+    if screenContour is None or cv2.contourArea(screenContour) < 500:
+        screenContour = np.array([[[0, 0]], [[w-1, 0]], [[w-1, h-1]], [[0, h-1]]])
+
+    # Get the bounding rectangle around the contour
+    x, y, w, h = cv2.boundingRect(screenContour)
+
+    # Check if the bounding rectangle is within the image boundaries
+    if x >= 0 and y >= 0 and x + w <= img.shape[1] and y + h <= img.shape[0]:
+        # Crop the image using the bounding rectangle
+        cropped_img = img[y:y+h, x:x+w]
+    else:
+        print("Bounding rectangle is out of image boundaries")
+        cropped_img = img
+
+    return cropped_img
 
 def run_tesseract_on_preprocessed_image(preprocessed_image, image_path):
     try:
@@ -92,8 +126,7 @@ def run_tesseract_on_preprocessed_image(preprocessed_image, image_path):
         url = "https://api.ocr.space/parse/image"
 
         # Define the API key and the language
-        # api_key = "K88232854988957"  # Replace with your actual OCR Space API key
-        api_key = os.getenv("ocr_space")
+        api_key = "K88232854988957"  # Replace with your actual OCR Space API key
         language = "eng"
 
         # Save the preprocessed image

app.py

@@ -1,8 +1,3 @@
-# import warnings
-
-# # Ignore SourceChangeWarning
-# warnings.filterwarnings("ignore", category=DeprecationWarning)
-# warnings.filterwarnings("ignore", category=SourceChangeWarning)
 
 # Dependencies
 from flask import Flask, request, render_template, jsonify, send_file, redirect, url_for, flash, send_from_directory, session
@@ -29,6 +24,7 @@ import signal
 import shutil
 from datetime import datetime
 import zipfile
+
 # LLM
 import argparse
 from asyncio.log import logger
@@ -39,12 +35,14 @@ import os
 import copy
 
 
+# Upload Folder
 UPLOAD_FOLDER = 'static/temp/uploads'
 if not os.path.exists(UPLOAD_FOLDER):
     os.makedirs(UPLOAD_FOLDER)
 
 ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg'}
 
+
 app = Flask(__name__)
 app.config['UPLOAD_FOLDER'] = UPLOAD_FOLDER
 app.config['SECRET_KEY'] = 'supersecretkey'
@@ -107,8 +105,8 @@ def make_predictions(image_paths):
     temp = None
     try:
         # For Windows OS
-        # temp = pathlib.PosixPath  # Save the original state
-        # pathlib.PosixPath = pathlib.WindowsPath  # Change to WindowsPath temporarily
+        temp = pathlib.PosixPath  # Save the original state
+        pathlib.PosixPath = pathlib.WindowsPath  # Change to WindowsPath temporarily
         
         model_path = Path(r'model/export')
         learner = load_learner(model_path)
@@ -132,12 +130,14 @@ def make_predictions(image_paths):
     except Exception as e:
         return {"error in make_predictions": str(e)}
         
-    # finally:
-    #     pathlib.PosixPath = temp 
+    finally:
+        pathlib.PosixPath = temp 
 
 
 @app.route('/predict/<filenames>', methods=['GET', 'POST'])
 def predict_files(filenames):
+    index_url = url_for('index')
+
     prediction_results = []
     image_paths = eval(filenames)  # Convert the filenames string back to a list
     
@@ -178,8 +178,9 @@ def predict_files(filenames):
                 file_to_remove = os.path.join('static', 'temp', 'uploads', image_paths[index])
                 if os.path.exists(file_to_remove):
                     os.remove(file_to_remove)
+                    
 
-    return render_template('extractor.html', image_paths=image_paths, prediction_results = prediction_results, predictions=dict(zip(image_paths, prediction_results_copy)))
+    return render_template('extractor.html', index_url=index_url, image_paths=image_paths, prediction_results = prediction_results, predictions=dict(zip(image_paths, prediction_results_copy)))
 
     
     

exp2.ipynb

@@ -0,0 +1,183 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import the necessary packages\n",
+    "from imutils.perspective import four_point_transform\n",
+    "import pytesseract\n",
+    "import argparse\n",
+    "import imutils\n",
+    "import cv2\n",
+    "import re"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "usage: ipykernel_launcher.py [-h] -i INPUT [-d DEBUG]\n",
+      "ipykernel_launcher.py: error: the following arguments are required: -i/--input\n"
+     ]
+    },
+    {
+     "ename": "SystemExit",
+     "evalue": "2",
+     "output_type": "error",
+     "traceback": [
+      "An exception has occurred, use %tb to see the full traceback.\n",
+      "\u001b[1;31mSystemExit\u001b[0m\u001b[1;31m:\u001b[0m 2\n"
+     ]
+    }
+   ],
+   "source": [
+    "input= \"sample_711.jpg\"\n",
+    "\n",
+    "# Construct the argument parser\n",
+    "ap = argparse.ArgumentParser()\n",
+    "ap.add_argument(\"-i\", \"--input\", required=True,\n",
+    "\thelp=\"path to input receipt image\")\n",
+    "ap.add_argument(\"-d\", \"--debug\", type=int, default=-1,\n",
+    "\thelp=\"whether or not we are visualizing each step of the pipeline\")\n",
+    "\n",
+    "# Parse the arguments\n",
+    "args = vars(ap.parse_args())\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'args' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[14], line 4\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# load the input image from disk, resize it, and compute the ratio\u001b[39;00m\n\u001b[0;32m      2\u001b[0m \u001b[38;5;66;03m# of the *new* width to the *old* width\u001b[39;00m\n\u001b[0;32m      3\u001b[0m image\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124msample_711.jpg\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m----> 4\u001b[0m orig \u001b[38;5;241m=\u001b[39m cv2\u001b[38;5;241m.\u001b[39mimread(\u001b[43margs\u001b[49m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mimage\u001b[39m\u001b[38;5;124m\"\u001b[39m])\n\u001b[0;32m      5\u001b[0m image \u001b[38;5;241m=\u001b[39m orig\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[0;32m      6\u001b[0m image \u001b[38;5;241m=\u001b[39m imutils\u001b[38;5;241m.\u001b[39mresize(image, width\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m500\u001b[39m)\n",
+      "\u001b[1;31mNameError\u001b[0m: name 'args' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# load the input image from disk, resize it, and compute the ratio\n",
+    "# of the *new* width to the *old* width\n",
+    "image= \"sample_711.jpg\"\n",
+    "orig = cv2.imread(args[\"image\"])\n",
+    "image = orig.copy()\n",
+    "image = imutils.resize(image, width=500)\n",
+    "ratio = orig.shape[1] / float(image.shape[1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# convert the image to grayscale, blur it slightly, and then apply\n",
+    "# edge detection\n",
+    "gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)\n",
+    "blurred = cv2.GaussianBlur(gray, (5, 5,), 0)\n",
+    "edged = cv2.Canny(blurred, 75, 200)\n",
+    "# check to see if we should show the output of our edge detection\n",
+    "# procedure\n",
+    "if args[\"debug\"] > 0:\n",
+    "\tcv2.imshow(\"Input\", image)\n",
+    "\tcv2.imshow(\"Edged\", edged)\n",
+    "\tcv2.waitKey(0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# find contours in the edge map and sort them by size in descending\n",
+    "# order\n",
+    "cnts = cv2.findContours(edged.copy(), cv2.RETR_EXTERNAL,\n",
+    "\tcv2.CHAIN_APPROX_SIMPLE)\n",
+    "cnts = imutils.grab_contours(cnts)\n",
+    "cnts = sorted(cnts, key=cv2.contourArea, reverse=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# initialize a contour that corresponds to the receipt outline\n",
+    "receiptCnt = None\n",
+    "# loop over the contours\n",
+    "for c in cnts:\n",
+    "\t# approximate the contour\n",
+    "\tperi = cv2.arcLength(c, True)\n",
+    "\tapprox = cv2.approxPolyDP(c, 0.02 * peri, True)\n",
+    "\t# if our approximated contour has four points, then we can\n",
+    "\t# assume we have found the outline of the receipt\n",
+    "\tif len(approx) == 4:\n",
+    "\t\treceiptCnt = approx\n",
+    "\t\tbreak\n",
+    "# if the receipt contour is empty then our script could not find the\n",
+    "# outline and we should be notified\n",
+    "if receiptCnt is None:\n",
+    "\traise Exception((\"Could not find receipt outline. \"\n",
+    "\t\t\"Try debugging your edge detection and contour steps.\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# check to see if we should draw the contour of the receipt on the\n",
+    "# image and then display it to our screen\n",
+    "if args[\"debug\"] > 0:\n",
+    "\toutput = image.copy()\n",
+    "\tcv2.drawContours(output, [receiptCnt], -1, (0, 255, 0), 2)\n",
+    "\tcv2.imshow(\"Receipt Outline\", output)\n",
+    "\tcv2.waitKey(0)\n",
+    "# apply a four-point perspective transform to the *original* image to\n",
+    "# obtain a top-down bird's-eye view of the receipt\n",
+    "receipt = four_point_transform(orig, receiptCnt.reshape(4, 2) * ratio)\n",
+    "# show transformed image\n",
+    "cv2.imshow(\"Receipt Transform\", imutils.resize(receipt, width=500))\n",
+    "cv2.waitKey(0)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

experiment.ipynb

@@ -0,0 +1,1337 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# defining inference parameters\n",
+    "model_path = r\"C:\\Users\\Ayoo\\Desktop\\webapp\\model\" # path to Layoutlmv3 model\n",
+    "imag_path = r\"C:\\Users\\Ayoo\\Desktop\\webapp\\predictions\\imgs\" # images folder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "^C\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2023-12-16 02:35:50.587274: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n",
+      "WARNING:tensorflow:From C:\\Users\\Ayoo\\AppData\\Roaming\\Python\\Python311\\site-packages\\keras\\src\\losses.py:2976: The name tf.losses.sparse_softmax_cross_entropy is deprecated. Please use tf.compat.v1.losses.sparse_softmax_cross_entropy instead.\n",
+      "\n",
+      "c:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\site-packages\\transformers\\modeling_utils.py:881: FutureWarning: The `device` argument is deprecated and will be removed in v5 of Transformers.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Preparing for Inference\n",
+      "Starting\n",
+      "Preprocessing\n",
+      "Preprocessing done. Running OCR\n",
+      "JSON file saved\n",
+      "OCR done\n",
+      "Run Done\n",
+      "Cleaned Tesseract output done\n",
+      "Word list done\n",
+      "Box list done\n",
+      "Prepared for Inference Batch\n",
+      "Running Flattened Output\n",
+      "Ready for Annotation\n",
+      "Annotating Images\n"
+     ]
+    }
+   ],
+   "source": [
+    "! python predictions\\inference\\run_inference.py --model_path {model_path} --images_path {imag_path}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Looking for C:\\Users\\Ayoo\\.keras-ocr\\craft_mlt_25k.h5\n"
+     ]
+    },
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[20], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mkeras_ocr\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m pipeline\u001b[38;5;241m=\u001b[39m\u001b[43mkeras_ocr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mpipeline\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mPipeline\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\site-packages\\keras_ocr\\pipeline.py:20\u001b[0m, in \u001b[0;36mPipeline.__init__\u001b[1;34m(self, detector, recognizer, scale, max_size)\u001b[0m\n\u001b[0;32m     18\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m__init__\u001b[39m(\u001b[38;5;28mself\u001b[39m, detector\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, recognizer\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, scale\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m, max_size\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2048\u001b[39m):\n\u001b[0;32m     19\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m detector \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m---> 20\u001b[0m         detector \u001b[38;5;241m=\u001b[39m \u001b[43mdetection\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mDetector\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m     21\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m recognizer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m     22\u001b[0m         recognizer \u001b[38;5;241m=\u001b[39m recognition\u001b[38;5;241m.\u001b[39mRecognizer()\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\site-packages\\keras_ocr\\detection.py:686\u001b[0m, in \u001b[0;36mDetector.__init__\u001b[1;34m(self, weights, load_from_torch, optimizer, backbone_name)\u001b[0m\n\u001b[0;32m    682\u001b[0m     \u001b[38;5;28;01massert\u001b[39;00m (\n\u001b[0;32m    683\u001b[0m         pretrained_key \u001b[38;5;129;01min\u001b[39;00m PRETRAINED_WEIGHTS\n\u001b[0;32m    684\u001b[0m     ), \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mSelected weights configuration not found.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    685\u001b[0m     weights_config \u001b[38;5;241m=\u001b[39m PRETRAINED_WEIGHTS[pretrained_key]\n\u001b[1;32m--> 686\u001b[0m     weights_path \u001b[38;5;241m=\u001b[39m \u001b[43mtools\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload_and_verify\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    687\u001b[0m \u001b[43m        \u001b[49m\u001b[43murl\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mweights_config\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43murl\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    688\u001b[0m \u001b[43m        \u001b[49m\u001b[43mfilename\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mweights_config\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mfilename\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    689\u001b[0m \u001b[43m        \u001b[49m\u001b[43msha256\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mweights_config\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43msha256\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    690\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    691\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m    692\u001b[0m     weights_path \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\site-packages\\keras_ocr\\tools.py:527\u001b[0m, in \u001b[0;36mdownload_and_verify\u001b[1;34m(url, sha256, cache_dir, verbose, filename)\u001b[0m\n\u001b[0;32m    525\u001b[0m         \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDownloading \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m filepath)\n\u001b[0;32m    526\u001b[0m     urllib\u001b[38;5;241m.\u001b[39mrequest\u001b[38;5;241m.\u001b[39murlretrieve(url, filepath)\n\u001b[1;32m--> 527\u001b[0m \u001b[38;5;28;01massert\u001b[39;00m sha256 \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mor\u001b[39;00m sha256 \u001b[38;5;241m==\u001b[39m \u001b[43msha256sum\u001b[49m\u001b[43m(\u001b[49m\n\u001b[0;32m    528\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfilepath\u001b[49m\n\u001b[0;32m    529\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mError occurred verifying sha256.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m    530\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m filepath\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\site-packages\\keras_ocr\\tools.py:491\u001b[0m, in \u001b[0;36msha256sum\u001b[1;34m(filename)\u001b[0m\n\u001b[0;32m    489\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(filename, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mrb\u001b[39m\u001b[38;5;124m\"\u001b[39m, buffering\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m f:\n\u001b[0;32m    490\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m n \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28miter\u001b[39m(\u001b[38;5;28;01mlambda\u001b[39;00m: f\u001b[38;5;241m.\u001b[39mreadinto(mv), \u001b[38;5;241m0\u001b[39m):  \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[1;32m--> 491\u001b[0m         h\u001b[38;5;241m.\u001b[39mupdate(mv[:n])\n\u001b[0;32m    492\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m h\u001b[38;5;241m.\u001b[39mhexdigest()\n",
+      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "import keras_ocr\n",
+    "pipeline=keras_ocr.pipeline.Pipeline()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1/1 [==============================] - 34s 34s/step\n",
+      "7/7 [==============================] - 94s 13s/step\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "[[('feleven',\n",
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+       "  ('es',\n",
+       "   array([[574.28613,  82.49414],\n",
+       "          [593.32324,  82.49414],\n",
+       "          [593.32324, 107.87695],\n",
+       "          [574.28613, 107.87695]], dtype=float32)),\n",
+       "  ('store',\n",
+       "   array([[453.71777, 203.0625 ],\n",
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+       "          [567.9404 , 253.82812],\n",
+       "          [453.71777, 253.82812]], dtype=float32)),\n",
+       "  ('nahj',\n",
+       "   array([[120.56836, 209.4082 ],\n",
+       "          [187.19824, 209.4082 ],\n",
+       "          [187.19824, 253.82812],\n",
+       "          [120.56836, 253.82812]], dtype=float32)),\n",
+       "  ('conveni',\n",
+       "   array([[203.0625 , 209.4082 ],\n",
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+       "          [352.18652, 253.82812],\n",
+       "          [203.0625 , 253.82812]], dtype=float32)),\n",
+       "  ('enco',\n",
+       "   array([[352.18652, 209.4082 ],\n",
+       "          [441.02637, 209.4082 ],\n",
+       "          [441.02637, 253.82812],\n",
+       "          [352.18652, 253.82812]], dtype=float32)),\n",
+       "  ('qwned',\n",
+       "   array([[ 34.901367, 260.17383 ],\n",
+       "          [149.12402 , 260.17383 ],\n",
+       "          [149.12402 , 304.59375 ],\n",
+       "          [ 34.901367, 304.59375 ]], dtype=float32)),\n",
+       "  ('operated',\n",
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+       "          [203.0625 , 307.7666 ]], dtype=float32)),\n",
+       "  ('nancy',\n",
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+       "          [586.97754, 304.59375],\n",
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+       "  ('byl',\n",
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+       "          [456.89062, 307.7666 ],\n",
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+       "  ('a',\n",
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+       "          [634.5703 , 263.34668],\n",
+       "          [634.5703 , 301.4209 ],\n",
+       "          [602.8418 , 301.4209 ]], dtype=float32)),\n",
+       "  ('cl',\n",
+       "   array([[244.30957, 314.1123 ],\n",
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+       "          [288.7295 , 355.35938],\n",
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+       "  ('inacosa',\n",
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+       "          [437.85352, 314.1123 ],\n",
+       "          [437.85352, 355.35938],\n",
+       "          [291.90234, 355.35938]], dtype=float32)),\n",
+       "  ('tregtin',\n",
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+       "          [276.0381 , 406.125  ],\n",
+       "          [123.74121, 406.125  ]], dtype=float32)),\n",
+       "  ('va',\n",
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+       "          [123.74121, 406.125  ],\n",
+       "          [ 76.14844, 406.125  ]], dtype=float32)),\n",
+       "  ('hssysigm',\n",
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+       "          [485.4463 , 361.70508],\n",
+       "          [485.4463 , 406.125  ],\n",
+       "          [285.55664, 406.125  ]], dtype=float32)),\n",
+       "  ('gbsr0o2',\n",
+       "   array([[475.92773, 361.70508],\n",
+       "          [631.39746, 361.70508],\n",
+       "          [631.39746, 406.125  ],\n",
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+       "  ('pobli',\n",
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+       "          [187.19824, 412.4707 ],\n",
+       "          [187.19824, 460.06348],\n",
+       "          [ 98.3584 , 460.06348]], dtype=float32)),\n",
+       "  ('acii',\n",
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+       "          [250.65527, 415.64355],\n",
+       "          [250.65527, 460.06348],\n",
+       "          [180.85254, 460.06348]], dtype=float32)),\n",
+       "  ('leons',\n",
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+       "          [434.68066, 460.06348],\n",
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+       "  ('ilulos',\n",
+       "   array([[456.89062, 415.64355],\n",
+       "          [602.8418 , 415.64355],\n",
+       "          [602.8418 , 460.06348],\n",
+       "          [456.89062, 460.06348]], dtype=float32)),\n",
+       "  ('ors',\n",
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+       "          [304.59375, 456.89062],\n",
+       "          [241.13672, 456.89062]], dtype=float32)),\n",
+       "  ('fit',\n",
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+       "  ('ipp',\n",
+       "   array([[314.1123 , 469.58203],\n",
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+       "          [380.7422 , 514.00195],\n",
+       "          [314.1123 , 514.00195]], dtype=float32)),\n",
+       "  ('ines',\n",
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+       "  ('tel',\n",
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+       "  ('null',\n",
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+       "  ('h',\n",
+       "   array([[307.7666 , 520.34766],\n",
+       "          [339.49512, 520.34766],\n",
+       "          [339.49512, 558.4219 ],\n",
+       "          [307.7666 , 558.4219 ]], dtype=float32)),\n",
+       "  ('osd1',\n",
+       "   array([[ 98.3584 , 618.70605],\n",
+       "          [206.23535, 618.70605],\n",
+       "          [206.23535, 663.126  ],\n",
+       "          [ 98.3584 , 663.126  ]], dtype=float32)),\n",
+       "  ('fzozx',\n",
+       "   array([[203.0625 , 618.70605],\n",
+       "          [314.1123 , 618.70605],\n",
+       "          [314.1123 , 663.126  ],\n",
+       "          [203.0625 , 663.126  ]], dtype=float32)),\n",
+       "  ('leoost',\n",
+       "   array([[434.68066, 618.70605],\n",
+       "          [609.1875 , 618.70605],\n",
+       "          [609.1875 , 663.126  ],\n",
+       "          [434.68066, 663.126  ]], dtype=float32)),\n",
+       "  ('smony',\n",
+       "   array([[314.1123 , 621.8789 ],\n",
+       "          [415.64355, 621.8789 ],\n",
+       "          [415.64355, 663.126  ],\n",
+       "          [314.1123 , 663.126  ]], dtype=float32)),\n",
+       "  ('rcpt',\n",
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+       "          [101.53125 , 767.8301  ],\n",
+       "          [ 12.691406, 767.8301  ]], dtype=float32)),\n",
+       "  ('h2a81',\n",
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+       "          [228.44531, 767.8301 ],\n",
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+       "  ('3a7',\n",
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+       "          [291.90234, 723.41016],\n",
+       "          [291.90234, 767.8301 ],\n",
+       "          [218.92676, 767.8301 ]], dtype=float32)),\n",
+       "  ('rcft',\n",
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+       "          [567.9404 , 767.8301 ],\n",
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+       "          [647.2617 , 764.6572 ],\n",
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+       "          [694.8545 , 767.8301 ],\n",
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+       "  ('storehsise',\n",
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+       "          [231.61816 , 818.5957  ],\n",
+       "          [ 12.691406, 818.5957  ]], dtype=float32)),\n",
+       "  ('snit',\n",
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+       "          [504.4834 , 818.5957 ],\n",
+       "          [434.68066, 818.5957 ]], dtype=float32)),\n",
+       "  ('xtiakt',\n",
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+       "  ('t',\n",
+       "   array([[ 453.71777, 2941.2334 ],\n",
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+       "          [ 475.92773, 2976.1348 ],\n",
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+       "  ('18015',\n",
+       "   array([[ 117.39551, 2985.6533 ],\n",
+       "          [ 247.48242, 2985.6533 ],\n",
+       "          [ 247.48242, 3030.0732 ],\n",
+       "          [ 117.39551, 3030.0732 ]], dtype=float32)),\n",
+       "  ('series',\n",
+       "   array([[ 263.34668, 2985.6533 ],\n",
+       "          [ 396.60645, 2985.6533 ],\n",
+       "          [ 396.60645, 3030.0732 ],\n",
+       "          [ 263.34668, 3030.0732 ]], dtype=float32)),\n",
+       "  ('of',\n",
+       "   array([[ 409.29785, 2985.6533 ],\n",
+       "          [ 456.89062, 2985.6533 ],\n",
+       "          [ 456.89062, 3030.0732 ],\n",
+       "          [ 409.29785, 3030.0732 ]], dtype=float32)),\n",
+       "  ('edz5',\n",
+       "   array([[ 472.75488, 2985.6533 ],\n",
+       "          [ 571.1133 , 2985.6533 ],\n",
+       "          [ 571.1133 , 3026.9004 ],\n",
+       "          [ 472.75488, 3026.9004 ]], dtype=float32)),\n",
+       "  ('facebooks',\n",
+       "   array([[  53.938477, 3036.419   ],\n",
+       "          [ 234.79102 , 3036.419   ],\n",
+       "          [ 234.79102 , 3080.8389  ],\n",
+       "          [  53.938477, 3080.8389  ]], dtype=float32)),\n",
+       "  ('71',\n",
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+       "  ('iphi',\n",
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+       "          [ 456.89062, 3080.8389 ],\n",
+       "          [ 371.22363, 3080.8389 ]], dtype=float32)),\n",
+       "  ('comf',\n",
+       "   array([[ 241.13672, 3039.5918 ],\n",
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+       "          [ 333.1494 , 3080.8389 ],\n",
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+       "  ('l',\n",
+       "   array([[ 456.89062, 3042.7646 ],\n",
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+       "          [ 456.89062, 3071.3203 ]], dtype=float32)),\n",
+       "  ('pp',\n",
+       "   array([[ 491.792 , 3039.5918],\n",
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+       "          [ 542.5576, 3080.8389],\n",
+       "          [ 491.792 , 3080.8389]], dtype=float32)),\n",
+       "  ('fes',\n",
+       "   array([[ 552.0762 , 3039.5918 ],\n",
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+       "          [ 631.39746, 3077.666  ],\n",
+       "          [ 552.0762 , 3077.666  ]], dtype=float32)),\n",
+       "  ('this',\n",
+       "   array([[  53.938477, 3137.9502  ],\n",
+       "          [ 142.77832 , 3137.9502  ],\n",
+       "          [ 142.77832 , 3185.543   ],\n",
+       "          [  53.938477, 3185.543   ]], dtype=float32)),\n",
+       "  ('is',\n",
+       "   array([[ 158.64258, 3137.9502 ],\n",
+       "          [ 206.23535, 3137.9502 ],\n",
+       "          [ 206.23535, 3185.543  ],\n",
+       "          [ 158.64258, 3185.543  ]], dtype=float32)),\n",
+       "  ('official',\n",
+       "   array([[ 282.3838 , 3137.9502 ],\n",
+       "          [ 456.89062, 3137.9502 ],\n",
+       "          [ 456.89062, 3185.543  ],\n",
+       "          [ 282.3838 , 3185.543  ]], dtype=float32)),\n",
+       "  ('receift',\n",
+       "   array([[ 472.75488, 3137.9502 ],\n",
+       "          [ 628.2246 , 3137.9502 ],\n",
+       "          [ 628.2246 , 3185.543  ],\n",
+       "          [ 472.75488, 3185.543  ]], dtype=float32)),\n",
+       "  ('in',\n",
+       "   array([[ 222.09961, 3141.123  ],\n",
+       "          [ 269.69238, 3141.123  ],\n",
+       "          [ 269.69238, 3182.37   ],\n",
+       "          [ 222.09961, 3182.37   ]], dtype=float32))]]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pipeline.recognize([r\"temp\\20230508_122035_preprocessed.png\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: requests in c:\\users\\ayoo\\anaconda3\\envs\\mlenv\\lib\\site-packages (2.31.0)\n",
+      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\ayoo\\anaconda3\\envs\\mlenv\\lib\\site-packages (from requests) (3.2.0)\n",
+      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\ayoo\\anaconda3\\envs\\mlenv\\lib\\site-packages (from requests) (3.4)\n",
+      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\ayoo\\anaconda3\\envs\\mlenv\\lib\\site-packages (from requests) (1.26.16)\n",
+      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\ayoo\\anaconda3\\envs\\mlenv\\lib\\site-packages (from requests) (2023.7.22)\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install requests"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{'ParsedResults': [{'TextOverlay': {'Lines': [{'LineText': '7-ELEVEN.', 'Words': [{'WordText': '7', 'Left': 205.0, 'Top': 38.0, 'Height': 84.0, 'Width': 398.0}, {'WordText': '-', 'Left': 205.0, 'Top': 38.0, 'Height': 84.0, 'Width': 398.0}, {'WordText': 'ELEVEN', 'Left': 205.0, 'Top': 38.0, 'Height': 84.0, 'Width': 398.0}, {'WordText': '.', 'Left': 205.0, 'Top': 38.0, 'Height': 84.0, 'Width': 398.0}], 'MaxHeight': 84.0, 'MinTop': 38.0}, {'LineText': 'NHJ Convenience Store', 'Words': [{'WordText': 'NHJ', 'Left': 117.0, 'Top': 215.0, 'Height': 36.0, 'Width': 76.0}, {'WordText': 'Convenience', 'Left': 198.0, 'Top': 215.0, 'Height': 36.0, 'Width': 247.0}, {'WordText': 'Store', 'Left': 450.0, 'Top': 215.0, 'Height': 36.0, 'Width': 114.0}], 'MaxHeight': 36.0, 'MinTop': 215.0}, {'LineText': 'Owned & Operated by: Nancy A.', 'Words': [{'WordText': 'Owned', 'Left': 33.0, 'Top': 260.0, 'Height': 52.0, 'Width': 117.0}, {'WordText': '&', 'Left': 156.0, 'Top': 261.0, 'Height': 52.0, 'Width': 32.0}, {'WordText': 'Operated', 'Left': 195.0, 'Top': 261.0, 'Height': 52.0, 'Width': 182.0}, {'WordText': 'by', 'Left': 384.0, 'Top': 261.0, 'Height': 52.0, 'Width': 71.0}, {'WordText': ':', 'Left': 384.0, 'Top': 261.0, 'Height': 52.0, 'Width': 71.0}, {'WordText': 'Nancy', 'Left': 462.0, 'Top': 261.0, 'Height': 52.0, 'Width': 130.0}, {'WordText': 'A', 'Left': 598.0, 'Top': 260.0, 'Height': 52.0, 'Width': 47.0}, {'WordText': '.', 'Left': 598.0, 'Top': 260.0, 'Height': 52.0, 'Width': 47.0}], 'MaxHeight': 52.0, 'MinTop': 260.0}, {'LineText': 'Climacosa', 'Words': [{'WordText': 'Climacosa', 'Left': 244.0, 'Top': 315.0, 'Height': 38.0, 'Width': 193.0}], 'MaxHeight': 38.0, 'MinTop': 315.0}, {'LineText': 'VATREGTIN #933-598-685-002', 'Words': [{'WordText': 'VATREGTIN', 'Left': 75.0, 'Top': 361.0, 'Height': 43.0, 'Width': 204.0}, {'WordText': '#', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '933', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '-', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '598', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '-', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '685', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '-', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}, {'WordText': '002', 'Left': 285.0, 'Top': 361.0, 'Height': 43.0, 'Width': 347.0}], 'MaxHeight': 43.0, 'MinTop': 361.0}, {'LineText': 'Poblacion, Leon, Iloilo,', 'Words': [{'WordText': 'Poblacion', 'Left': 94.0, 'Top': 417.0, 'Height': 49.0, 'Width': 220.0}, {'WordText': ',', 'Left': 94.0, 'Top': 417.0, 'Height': 49.0, 'Width': 220.0}, {'WordText': 'Leon', 'Left': 321.0, 'Top': 417.0, 'Height': 49.0, 'Width': 122.0}, {'WordText': ',', 'Left': 321.0, 'Top': 417.0, 'Height': 49.0, 'Width': 122.0}, {'WordText': 'Iloilo', 'Left': 449.0, 'Top': 417.0, 'Height': 49.0, 'Width': 154.0}, {'WordText': ',', 'Left': 449.0, 'Top': 417.0, 'Height': 49.0, 'Width': 154.0}], 'MaxHeight': 49.0, 'MinTop': 417.0}, {'LineText': 'Philippines', 'Words': [{'WordText': 'Philippines', 'Left': 225.0, 'Top': 468.0, 'Height': 44.0, 'Width': 238.0}], 'MaxHeight': 44.0, 'MinTop': 468.0}, {'LineText': 'lel #: NULL', 'Words': [{'WordText': 'lel', 'Left': 221.0, 'Top': 524.0, 'Height': 40.0, 'Width': 78.0}, {'WordText': '#:', 'Left': 304.0, 'Top': 524.0, 'Height': 39.0, 'Width': 59.0}, {'WordText': 'NULL', 'Left': 368.0, 'Top': 523.0, 'Height': 40.0, 'Width': 89.0}], 'MaxHeight': 41.0, 'MinTop': 523.0}, {'LineText': '05/01/2023 (Mon) 23:00:57', 'Words': [{'WordText': '05', 'Left': 98.0, 'Top': 622.0, 'Height': 42.0, 'Width': 216.0}, {'WordText': '/', 'Left': 98.0, 'Top': 622.0, 'Height': 42.0, 'Width': 215.0}, {'WordText': '01', 'Left': 98.0, 'Top': 622.0, 'Height': 42.0, 'Width': 216.0}, {'WordText': '/', 'Left': 98.0, 'Top': 622.0, 'Height': 42.0, 'Width': 215.0}, {'WordText': '2023', 'Left': 98.0, 'Top': 622.0, 'Height': 42.0, 'Width': 216.0}, {'WordText': '(', 'Left': 319.0, 'Top': 622.0, 'Height': 42.0, 'Width': 105.0}, {'WordText': 'Mon', 'Left': 319.0, 'Top': 622.0, 'Height': 42.0, 'Width': 105.0}, {'WordText': ')', 'Left': 319.0, 'Top': 622.0, 'Height': 42.0, 'Width': 105.0}, {'WordText': '23', 'Left': 429.0, 'Top': 622.0, 'Height': 42.0, 'Width': 181.0}, {'WordText': ':', 'Left': 429.0, 'Top': 622.0, 'Height': 42.0, 'Width': 181.0}, {'WordText': '00', 'Left': 429.0, 'Top': 622.0, 'Height': 42.0, 'Width': 181.0}, {'WordText': ':', 'Left': 429.0, 'Top': 622.0, 'Height': 42.0, 'Width': 181.0}, {'WordText': '57', 'Left': 429.0, 'Top': 622.0, 'Height': 42.0, 'Width': 181.0}], 'MaxHeight': 42.0, 'MinTop': 622.0}, {'LineText': 'RCPT #2481347', 'Words': [{'WordText': 'RCPT', 'Left': 13.0, 'Top': 723.0, 'Height': 42.0, 'Width': 94.0}, {'WordText': '#', 'Left': 113.0, 'Top': 723.0, 'Height': 42.0, 'Width': 184.0}, {'WordText': '2481347', 'Left': 113.0, 'Top': 723.0, 'Height': 42.0, 'Width': 184.0}], 'MaxHeight': 42.0, 'MinTop': 723.0}, {'LineText': 'ROPT CNTHO', 'Words': [{'WordText': 'ROPT', 'Left': 472.0, 'Top': 723.0, 'Height': 49.0, 'Width': 96.0}, {'WordText': 'CNTHO', 'Left': 574.0, 'Top': 722.0, 'Height': 49.0, 'Width': 120.0}], 'MaxHeight': 50.0, 'MinTop': 722.0}, {'LineText': 'STORE#3058', 'Words': [{'WordText': 'STORE', 'Left': 13.0, 'Top': 771.0, 'Height': 47.0, 'Width': 219.0}, {'WordText': '#', 'Left': 13.0, 'Top': 771.0, 'Height': 47.0, 'Width': 219.0}, {'WordText': '3058', 'Left': 13.0, 'Top': 771.0, 'Height': 47.0, 'Width': 219.0}], 'MaxHeight': 47.0, 'MinTop': 771.0}, {'LineText': 'SN# :XTI43170', 'Words': [{'WordText': 'SN', 'Left': 433.0, 'Top': 771.0, 'Height': 49.0, 'Width': 66.0}, {'WordText': '#', 'Left': 433.0, 'Top': 771.0, 'Height': 49.0, 'Width': 66.0}, {'WordText': ':', 'Left': 505.0, 'Top': 771.0, 'Height': 50.0, 'Width': 189.0}, {'WordText': 'XTI43170', 'Left': 505.0, 'Top': 771.0, 'Height': 50.0, 'Width': 189.0}], 'MaxHeight': 50.0, 'MinTop': 771.0}, {'LineText': 'MIN #: 18112011091411051', 'Words': [{'WordText': 'MIN', 'Left': 13.0, 'Top': 830.0, 'Height': 39.0, 'Width': 73.0}, {'WordText': '#:', 'Left': 91.0, 'Top': 830.0, 'Height': 39.0, 'Width': 58.0}, {'WordText': '18112011091411051', 'Left': 154.0, 'Top': 830.0, 'Height': 39.0, 'Width': 360.0}], 'MaxHeight': 39.0, 'MinTop': 830.0}, {'LineText': 'STAFF: Angelica Duante', 'Words': [{'WordText': 'STAFF', 'Left': 13.0, 'Top': 879.0, 'Height': 43.0, 'Width': 124.0}, {'WordText': ':', 'Left': 13.0, 'Top': 879.0, 'Height': 43.0, 'Width': 124.0}, {'WordText': 'Angelica', 'Left': 142.0, 'Top': 879.0, 'Height': 43.0, 'Width': 177.0}, {'WordText': 'Duante', 'Left': 325.0, 'Top': 879.0, 'Height': 43.0, 'Width': 138.0}], 'MaxHeight': 43.0, 'MinTop': 879.0}, {'LineText': '7FKoreanßun', 'Words': [{'WordText': '7FKoreanßun', 'Left': 16.0, 'Top': 979.0, 'Height': 45.0, 'Width': 235.0}], 'MaxHeight': 45.0, 'MinTop': 979.0}, {'LineText': 'NissinYaSaBeet77g', 'Words': [{'WordText': 'NissinYaSaBeet77g', 'Left': 13.0, 'Top': 1032.0, 'Height': 42.0, 'Width': 365.0}], 'MaxHeight': 42.0, 'MinTop': 1032.0}, {'LineText': 'BBHOTDOGCREMYCHEES', 'Words': [{'WordText': 'BBHOTDOGCREMYCHEES', 'Left': 13.0, 'Top': 1084.0, 'Height': 39.0, 'Width': 384.0}], 'MaxHeight': 39.0, 'MinTop': 1084.0}, {'LineText': '39.00 Х 6', 'Words': [{'WordText': '39.00', 'Left': 140.0, 'Top': 1136.0, 'Height': 43.0, 'Width': 116.0}, {'WordText': 'Х', 'Left': 261.0, 'Top': 1136.0, 'Height': 43.0, 'Width': 100.0}, {'WordText': '6', 'Left': 366.0, 'Top': 1135.0, 'Height': 42.0, 'Width': 29.0}], 'MaxHeight': 44.0, 'MinTop': 1135.0}, {'LineText': 'chocvron? in1Ch020g', 'Words': [{'WordText': 'chocvron', 'Left': 13.0, 'Top': 1185.0, 'Height': 43.0, 'Width': 193.0}, {'WordText': '?', 'Left': 13.0, 'Top': 1185.0, 'Height': 43.0, 'Width': 193.0}, {'WordText': 'in1Ch020g', 'Left': 212.0, 'Top': 1185.0, 'Height': 43.0, 'Width': 186.0}], 'MaxHeight': 43.0, 'MinTop': 1185.0}, {'LineText': 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1237.0}, {'LineText': 'Total (10)', 'Words': [{'WordText': 'Total', 'Left': 13.0, 'Top': 1340.0, 'Height': 44.0, 'Width': 121.0}, {'WordText': '(', 'Left': 139.0, 'Top': 1342.0, 'Height': 44.0, 'Width': 86.0}, {'WordText': '10', 'Left': 139.0, 'Top': 1342.0, 'Height': 44.0, 'Width': 86.0}, {'WordText': ')', 'Left': 139.0, 'Top': 1342.0, 'Height': 44.0, 'Width': 86.0}], 'MaxHeight': 46.0, 'MinTop': 1340.0}, {'LineText': 'CASH', 'Words': [{'WordText': 'CASH', 'Left': 55.0, 'Top': 1390.0, 'Height': 43.0, 'Width': 91.0}], 'MaxHeight': 43.0, 'MinTop': 1390.0}, {'LineText': 'CHANGE', 'Words': [{'WordText': 'CHANGE', 'Left': 52.0, 'Top': 1442.0, 'Height': 43.0, 'Width': 137.0}], 'MaxHeight': 43.0, 'MinTop': 1442.0}, {'LineText': '359.00', 'Words': [{'WordText': '359.00', 'Left': 557.0, 'Top': 1341.0, 'Height': 47.0, 'Width': 137.0}], 'MaxHeight': 47.0, 'MinTop': 1341.0}, {'LineText': '1000.00', 'Words': [{'WordText': '1000.00', 'Left': 537.0, 'Top': 1389.0, 'Height': 48.0, 'Width': 154.0}], 'MaxHeight': 48.0, 'MinTop': 1389.0}, {'LineText': '641.00', 'Words': [{'WordText': '641.00', 'Left': 557.0, 'Top': 1442.0, 'Height': 46.0, 'Width': 134.0}], 'MaxHeight': 46.0, 'MinTop': 1442.0}, {'LineText': 'VATable', 'Words': [{'WordText': 'VATable', 'Left': 52.0, 'Top': 1546.0, 'Height': 40.0, 'Width': 157.0}], 'MaxHeight': 40.0, 'MinTop': 1546.0}, {'LineText': 'VAT_Tax', 'Words': [{'WordText': 'VAT_Tax', 'Left': 52.0, 'Top': 1598.0, 'Height': 50.0, 'Width': 157.0}], 'MaxHeight': 50.0, 'MinTop': 1598.0}, {'LineText': 'Zero_Rated', 'Words': [{'WordText': 'Zero_Rated', 'Left': 52.0, 'Top': 1649.0, 'Height': 48.0, 'Width': 219.0}], 'MaxHeight': 48.0, 'MinTop': 1649.0}, {'LineText': 'VAT_Exempted', 'Words': [{'WordText': 'VAT_Exempted', 'Left': 52.0, 'Top': 1699.0, 'Height': 50.0, 'Width': 264.0}], 'MaxHeight': 50.0, 'MinTop': 1699.0}, {'LineText': '320.54', 'Words': [{'WordText': '320.54', 'Left': 557.0, 'Top': 1546.0, 'Height': 46.0, 'Width': 134.0}], 'MaxHeight': 46.0, 'MinTop': 1546.0}, {'LineText': '38.46', 'Words': [{'WordText': '38.46', 'Left': 577.0, 'Top': 1598.0, 'Height': 43.0, 'Width': 114.0}], 'MaxHeight': 43.0, 'MinTop': 1598.0}, {'LineText': '0.00', 'Words': [{'WordText': '0.00', 'Left': 600.0, 'Top': 1651.0, 'Height': 42.0, 'Width': 91.0}], 'MaxHeight': 42.0, 'MinTop': 1651.0}, {'LineText': '0.00', 'Words': [{'WordText': '0.00', 'Left': 599.0, 'Top': 1702.0, 'Height': 43.0, 'Width': 95.0}], 'MaxHeight': 43.0, 'MinTop': 1702.0}, {'LineText': 'Sold To: 9906087698684', 'Words': [{'WordText': 'Sold', 'Left': 13.0, 'Top': 1803.0, 'Height': 42.0, 'Width': 94.0}, {'WordText': 'To', 'Left': 113.0, 'Top': 1803.0, 'Height': 42.0, 'Width': 79.0}, {'WordText': ':', 'Left': 113.0, 'Top': 1803.0, 'Height': 42.0, 'Width': 79.0}, {'WordText': '9906087698684', 'Left': 197.0, 'Top': 1803.0, 'Height': 42.0, 'Width': 285.0}], 'MaxHeight': 42.0, 'MinTop': 1803.0}, {'LineText': 'Name:', 'Words': [{'WordText': 'Name', 'Left': 10.0, 'Top': 1856.0, 'Height': 39.0, 'Width': 111.0}, {'WordText': ':', 'Left': 10.0, 'Top': 1856.0, 'Height': 39.0, 'Width': 111.0}], 'MaxHeight': 39.0, 'MinTop': 1856.0}, {'LineText': 'Address:', 'Words': [{'WordText': 'Address', 'Left': 13.0, 'Top': 1907.0, 'Height': 40.0, 'Width': 170.0}, {'WordText': ':', 'Left': 13.0, 'Top': 1907.0, 'Height': 40.0, 'Width': 170.0}], 'MaxHeight': 40.0, 'MinTop': 1907.0}, {'LineText': 'TIN:', 'Words': [{'WordText': 'TIN', 'Left': 13.0, 'Top': 1957.0, 'Height': 39.0, 'Width': 85.0}, {'WordText': ':', 'Left': 13.0, 'Top': 1957.0, 'Height': 39.0, 'Width': 85.0}], 'MaxHeight': 39.0, 'MinTop': 1957.0}, {'LineText': 'Philippine Seven Corporation', 'Words': [{'WordText': 'Philippine', 'Left': 10.0, 'Top': 2060.0, 'Height': 43.0, 'Width': 226.0}, {'WordText': 'Seven', 'Left': 241.0, 'Top': 2060.0, 'Height': 43.0, 'Width': 118.0}, {'WordText': 'Corporation', 'Left': 365.0, 'Top': 2060.0, 'Height': 43.0, 'Width': 241.0}], 'MaxHeight': 43.0, 'MinTop': 2060.0}, {'LineText': '7th Floor The Columbia Tower', 'Words': [{'WordText': '7th', 'Left': 13.0, 'Top': 2116.0, 'Height': 36.0, 'Width': 72.0}, {'WordText': 'Floor', 'Left': 90.0, 'Top': 2116.0, 'Height': 36.0, 'Width': 126.0}, {'WordText': 'The', 'Left': 220.0, 'Top': 2116.0, 'Height': 36.0, 'Width': 76.0}, {'WordText': 'Columbia', 'Left': 301.0, 'Top': 2116.0, 'Height': 36.0, 'Width': 189.0}, {'WordText': 'Tower', 'Left': 495.0, 'Top': 2116.0, 'Height': 36.0, 'Width': 108.0}], 'MaxHeight': 36.0, 'MinTop': 2116.0}, {'LineText': 'Ortigas Avenue, Mandaluyong', 'Words': [{'WordText': 'Ortigas', 'Left': 33.0, 'Top': 2161.0, 'Height': 49.0, 'Width': 154.0}, {'WordText': 'Avenue', 'Left': 192.0, 'Top': 2161.0, 'Height': 49.0, 'Width': 159.0}, {'WordText': ',', 'Left': 192.0, 'Top': 2161.0, 'Height': 49.0, 'Width': 159.0}, {'WordText': 'Mandaluyong', 'Left': 358.0, 'Top': 2161.0, 'Height': 49.0, 'Width': 248.0}], 'MaxHeight': 49.0, 'MinTop': 2161.0}, {'LineText': 'City', 'Words': [{'WordText': 'City', 'Left': 29.0, 'Top': 2214.0, 'Height': 42.0, 'Width': 94.0}], 'MaxHeight': 42.0, 'MinTop': 2214.0}, {'LineText': 'TIN: 000-390-189-000', 'Words': [{'WordText': 'TIN', 'Left': 13.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 90.0}, {'WordText': ':', 'Left': 13.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 90.0}, {'WordText': '000', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '-', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '390', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '-', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '189', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '-', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}, {'WordText': '000', 'Left': 109.0, 'Top': 2266.0, 'Height': 46.0, 'Width': 331.0}], 'MaxHeight': 46.0, 'MinTop': 2266.0}, {'LineText': 'BIR ACCI #', 'Words': [{'WordText': 'BIR', 'Left': 10.0, 'Top': 2318.0, 'Height': 39.0, 'Width': 78.0}, {'WordText': 'ACCI', 'Left': 93.0, 'Top': 2318.0, 'Height': 39.0, 'Width': 98.0}, {'WordText': '#', 'Left': 195.0, 'Top': 2318.0, 'Height': 39.0, 'Width': 30.0}], 'MaxHeight': 40.0, 'MinTop': 2318.0}, {'LineText': '116-000390189-000346 19602', 'Words': [{'WordText': '116', 'Left': 33.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 430.0}, {'WordText': '-', 'Left': 33.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 430.0}, {'WordText': '000390189', 'Left': 33.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 430.0}, {'WordText': '-', 'Left': 33.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 430.0}, {'WordText': '000346', 'Left': 33.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 430.0}, {'WordText': '19602', 'Left': 468.0, 'Top': 2366.0, 'Height': 43.0, 'Width': 118.0}], 'MaxHeight': 43.0, 'MinTop': 2366.0}, {'LineText': 'AcciDate: 08/01/2020', 'Words': [{'WordText': 'AcciDate', 'Left': 13.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 194.0}, {'WordText': ':', 'Left': 13.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 194.0}, {'WordText': '08', 'Left': 212.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 266.0}, {'WordText': '/', 'Left': 213.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 266.0}, {'WordText': '01', 'Left': 212.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 266.0}, {'WordText': '/', 'Left': 213.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 266.0}, {'WordText': '2020', 'Left': 212.0, 'Top': 2419.0, 'Height': 42.0, 'Width': 266.0}], 'MaxHeight': 42.0, 'MinTop': 2419.0}, {'LineText': '07/31/2025', 'Words': [{'WordText': '07', 'Left': 29.0, 'Top': 2470.0, 'Height': 44.0, 'Width': 219.0}, {'WordText': '/', 'Left': 29.0, 'Top': 2470.0, 'Height': 44.0, 'Width': 219.0}, {'WordText': '31', 'Left': 29.0, 'Top': 2470.0, 'Height': 44.0, 'Width': 219.0}, {'WordText': '/', 'Left': 29.0, 'Top': 2470.0, 'Height': 44.0, 'Width': 219.0}, {'WordText': '2025', 'Left': 29.0, 'Top': 2470.0, 'Height': 44.0, 'Width': 219.0}], 'MaxHeight': 44.0, 'MinTop': 2470.0}, {'LineText': 'Permit #:', 'Words': [{'WordText': 'Permit', 'Left': 10.0, 'Top': 2526.0, 'Height': 40.0, 'Width': 142.0}, {'WordText': '#:', 'Left': 156.0, 'Top': 2527.0, 'Height': 39.0, 'Width': 46.0}], 'MaxHeight': 40.0, 'MinTop': 2526.0}, {'LineText': 'FP112018-074-0194656-00002', 'Words': [{'WordText': 'FP112018', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '-', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '074', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '-', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '0194656', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '-', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}, {'WordText': '00002', 'Left': 33.0, 'Top': 2572.0, 'Height': 39.0, 'Width': 554.0}], 'MaxHeight': 39.0, 'MinTop': 2572.0}, {'LineText': 'Get a chance to win a trip for', 'Words': [{'WordText': 'Get', 'Left': 29.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 78.0}, {'WordText': 'a', 'Left': 112.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 34.0}, {'WordText': 'chance', 'Left': 151.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 146.0}, {'WordText': 'to', 'Left': 302.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 54.0}, {'WordText': 'win', 'Left': 361.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 83.0}, {'WordText': 'a', 'Left': 448.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 34.0}, {'WordText': 'trip', 'Left': 487.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 107.0}, {'WordText': 'for', 'Left': 599.0, 'Top': 2679.0, 'Height': 39.0, 'Width': 69.0}], 'MaxHeight': 39.0, 'MinTop': 2679.0}, {'LineText': '2 to Korea when you buy PISO', 'Words': [{'WordText': '2', 'Left': 52.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 34.0}, {'WordText': 'to', 'Left': 91.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 58.0}, {'WordText': 'Korea', 'Left': 154.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 122.0}, {'WordText': 'when', 'Left': 281.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 102.0}, {'WordText': 'you', 'Left': 388.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 78.0}, {'WordText': 'buy', 'Left': 471.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 78.0}, {'WordText': 'PISO', 'Left': 554.0, 'Top': 2731.0, 'Height': 39.0, 'Width': 91.0}], 'MaxHeight': 39.0, 'MinTop': 2731.0}, {'LineText': 'worth of 7-Eleven items. Earn', 'Words': [{'WordText': 'worth', 'Left': 29.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 116.0}, {'WordText': 'of', 'Left': 152.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 61.0}, {'WordText': '7', 'Left': 219.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 184.0}, {'WordText': '-', 'Left': 219.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 184.0}, {'WordText': 'Eleven', 'Left': 219.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 184.0}, {'WordText': 'items', 'Left': 409.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 135.0}, {'WordText': '.', 'Left': 409.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 135.0}, {'WordText': 'Earn', 'Left': 550.0, 'Top': 2783.0, 'Height': 49.0, 'Width': 99.0}], 'MaxHeight': 49.0, 'MinTop': 2783.0}, {'LineText': '3 eRaffle entries when you buy', 'Words': [{'WordText': '3', 'Left': 29.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 34.0}, {'WordText': 'eRaffle', 'Left': 68.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 166.0}, {'WordText': 'entries', 'Left': 239.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 161.0}, {'WordText': 'when', 'Left': 404.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 102.0}, {'WordText': 'you', 'Left': 512.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 78.0}, {'WordText': 'buy', 'Left': 594.0, 'Top': 2832.0, 'Height': 39.0, 'Width': 70.0}], 'MaxHeight': 39.0, 'MinTop': 2832.0}, {'LineText': 'discounted booster Items. Per', 'Words': [{'WordText': 'discounted', 'Left': 33.0, 'Top': 2888.0, 'Height': 42.0, 'Width': 221.0}, {'WordText': 'booster', 'Left': 259.0, 'Top': 2888.0, 'Height': 42.0, 'Width': 168.0}, {'WordText': 'Items', 'Left': 432.0, 'Top': 2888.0, 'Height': 42.0, 'Width': 137.0}, {'WordText': '.', 'Left': 432.0, 'Top': 2888.0, 'Height': 42.0, 'Width': 137.0}, {'WordText': 'Per', 'Left': 574.0, 'Top': 2888.0, 'Height': 42.0, 'Width': 68.0}], 'MaxHeight': 42.0, 'MinTop': 2888.0}, {'LineText': 'DTI FAIR TRADE Permit Number:', 'Words': [{'WordText': 'DTI', 'Left': 29.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 78.0}, {'WordText': 'FAIR', 'Left': 113.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 100.0}, {'WordText': 'TRADE', 'Left': 218.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 121.0}, {'WordText': 'Permit', 'Left': 344.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 142.0}, {'WordText': 'Number', 'Left': 491.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 151.0}, {'WordText': ':', 'Left': 491.0, 'Top': 2933.0, 'Height': 42.0, 'Width': 151.0}], 'MaxHeight': 42.0, 'MinTop': 2933.0}, {'LineText': '163019 Series of 2023..', 'Words': [{'WordText': '163019', 'Left': 117.0, 'Top': 2988.0, 'Height': 40.0, 'Width': 135.0}, {'WordText': 'Series', 'Left': 257.0, 'Top': 2988.0, 'Height': 40.0, 'Width': 145.0}, {'WordText': 'of', 'Left': 407.0, 'Top': 2988.0, 'Height': 40.0, 'Width': 55.0}, {'WordText': '2023', 'Left': 467.0, 'Top': 2988.0, 'Height': 40.0, 'Width': 165.0}, {'WordText': '..', 'Left': 467.0, 'Top': 2988.0, 'Height': 40.0, 'Width': 165.0}], 'MaxHeight': 40.0, 'MinTop': 2988.0}, {'LineText': 'facebook.com/711philippines.', 'Words': [{'WordText': 'facebook.com', 'Left': 52.0, 'Top': 3037.0, 'Height': 42.0, 'Width': 590.0}, {'WordText': '/', 'Left': 52.0, 'Top': 3037.0, 'Height': 42.0, 'Width': 590.0}, {'WordText': '711philippines', 'Left': 52.0, 'Top': 3037.0, 'Height': 42.0, 'Width': 590.0}, {'WordText': '.', 'Left': 52.0, 'Top': 3037.0, 'Height': 42.0, 'Width': 590.0}], 'MaxHeight': 42.0, 'MinTop': 3037.0}, {'LineText': '- THIS IS AN OFFICIAL RECEIPT -', 'Words': [{'WordText': '-', 'Left': 0.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 46.0}, {'WordText': 'THIS', 'Left': 52.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 98.0}, {'WordText': 'IS', 'Left': 155.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 57.0}, {'WordText': 'AN', 'Left': 219.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 52.0}, {'WordText': 'OFFICIAL', 'Left': 276.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 184.0}, {'WordText': 'RECEIPT', 'Left': 466.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 167.0}, {'WordText': '-', 'Left': 638.0, 'Top': 3138.0, 'Height': 46.0, 'Width': 30.0}], 'MaxHeight': 46.0, 'MinTop': 3138.0}], 'HasOverlay': True}, 'TextOrientation': '0', 'FileParseExitCode': 1, 'ParsedText': '7-ELEVEN.\\nNHJ Convenience Store\\nOwned & Operated by: Nancy A.\\nClimacosa\\nVATREGTIN #933-598-685-002\\nPoblacion, Leon, Iloilo,\\nPhilippines\\nlel #: NULL\\n05/01/2023 (Mon) 23:00:57\\nRCPT #2481347\\nROPT CNTHO\\nSTORE#3058\\nSN# :XTI43170\\nMIN #: 18112011091411051\\nSTAFF: Angelica Duante\\n7FKoreanßun\\nNissinYaSaBeet77g\\nBBHOTDOGCREMYCHEES\\n39.00 Х 6\\nchocvron? in1Ch020g\\n15.00 X\\n2\\n55.004\\n40.000\\n234.000\\n30.000\\nTotal (10)\\nCASH\\nCHANGE\\n359.00\\n1000.00\\n641.00\\nVATable\\nVAT_Tax\\nZero_Rated\\nVAT_Exempted\\n320.54\\n38.46\\n0.00\\n0.00\\nSold To: 9906087698684\\nName:\\nAddress:\\nTIN:\\nPhilippine Seven Corporation\\n7th Floor The Columbia Tower\\nOrtigas Avenue, Mandaluyong\\nCity\\nTIN: 000-390-189-000\\nBIR ACCI #\\n116-000390189-000346 19602\\nAcciDate: 08/01/2020\\n07/31/2025\\nPermit #:\\nFP112018-074-0194656-00002\\nGet a chance to win a trip for\\n2 to Korea when you buy PISO\\nworth of 7-Eleven items. Earn\\n3 eRaffle entries when you buy\\ndiscounted booster Items. Per\\nDTI FAIR TRADE Permit Number:\\n163019 Series of 2023..\\nfacebook.com/711philippines.\\n- THIS IS AN OFFICIAL RECEIPT -', 'ErrorMessage': '', 'ErrorDetails': ''}], 'OCRExitCode': 1, 'IsErroredOnProcessing': False, 'ProcessingTimeInMilliseconds': '2593', 'SearchablePDFURL': 'Searchable PDF not generated as it was not requested.'}\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Import requests library\n",
+    "import requests\n",
+    "\n",
+    "# Define the OCR API endpoint\n",
+    "url = \"https://api.ocr.space/parse/image\"\n",
+    "\n",
+    "# Define the API key and the language\n",
+    "api_key = \"K88232854988957\"\n",
+    "language = \"eng\"\n",
+    "\n",
+    "# Define the image file path\n",
+    "image_file = r\"C:\\Users\\Ayoo\\Desktop\\webapp\\predictions\\imgs\\20230508_122035.jpg\"\n",
+    "\n",
+    "# Open the image file as binary\n",
+    "with open(image_file, \"rb\") as f:\n",
+    "    # Define the payload for the API request\n",
+    "    payload = {\n",
+    "        \"apikey\": api_key,\n",
+    "        \"language\": language,\n",
+    "        \"isOverlayRequired\": True, # Optional, set to True if you want the coordinates of the words\n",
+    "        \"OCREngine\": 2 # OCR Engine 2 for Layoutlmv3\n",
+    "    }\n",
+    "    # Define the file parameter for the API request\n",
+    "    file = {\n",
+    "        \"file\": f\n",
+    "    }\n",
+    "    # Send the POST request to the OCR API\n",
+    "    response = requests.post(url, data=payload, files=file)\n",
+    "\n",
+    "# Check the status code of the response\n",
+    "if response.status_code == 200:\n",
+    "    # Parse the JSON response\n",
+    "    result = response.json()\n",
+    "    # Print the parsed text\n",
+    "    print(result)\n",
+    "else:\n",
+    "    # Print the error message\n",
+    "    print(\"Error: \" + response.text)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "TypeError",
+     "evalue": "Object of type Response is not JSON serializable",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[1;32mIn[13], line 4\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mjson\u001b[39;00m\n\u001b[0;32m      3\u001b[0m \u001b[38;5;66;03m# Assuming 'response' is the JSON response from the OCR API\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mjson\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdumps\u001b[49m\u001b[43m(\u001b[49m\u001b[43mresponse\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m4\u001b[39;49m\u001b[43m)\u001b[49m)\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\json\\__init__.py:238\u001b[0m, in \u001b[0;36mdumps\u001b[1;34m(obj, skipkeys, ensure_ascii, check_circular, allow_nan, cls, indent, separators, default, sort_keys, **kw)\u001b[0m\n\u001b[0;32m    232\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mcls\u001b[39m \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m    233\u001b[0m     \u001b[38;5;28mcls\u001b[39m \u001b[38;5;241m=\u001b[39m JSONEncoder\n\u001b[0;32m    234\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\n\u001b[0;32m    235\u001b[0m \u001b[43m    \u001b[49m\u001b[43mskipkeys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mskipkeys\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mensure_ascii\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mensure_ascii\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    236\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcheck_circular\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mcheck_circular\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mallow_nan\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mallow_nan\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mindent\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mindent\u001b[49m\u001b[43m,\u001b[49m\n\u001b[0;32m    237\u001b[0m \u001b[43m    \u001b[49m\u001b[43mseparators\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mseparators\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdefault\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdefault\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43msort_keys\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43msort_keys\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m--> 238\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkw\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mencode\u001b[49m\u001b[43m(\u001b[49m\u001b[43mobj\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\json\\encoder.py:202\u001b[0m, in \u001b[0;36mJSONEncoder.encode\u001b[1;34m(self, o)\u001b[0m\n\u001b[0;32m    200\u001b[0m chunks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39miterencode(o, _one_shot\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[0;32m    201\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(chunks, (\u001b[38;5;28mlist\u001b[39m, \u001b[38;5;28mtuple\u001b[39m)):\n\u001b[1;32m--> 202\u001b[0m     chunks \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(chunks)\n\u001b[0;32m    203\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(chunks)\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\json\\encoder.py:439\u001b[0m, in \u001b[0;36m_make_iterencode.<locals>._iterencode\u001b[1;34m(o, _current_indent_level)\u001b[0m\n\u001b[0;32m    437\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCircular reference detected\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m    438\u001b[0m     markers[markerid] \u001b[38;5;241m=\u001b[39m o\n\u001b[1;32m--> 439\u001b[0m o \u001b[38;5;241m=\u001b[39m \u001b[43m_default\u001b[49m\u001b[43m(\u001b[49m\u001b[43mo\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    440\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m _iterencode(o, _current_indent_level)\n\u001b[0;32m    441\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m markers \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+      "File \u001b[1;32mc:\\Users\\Ayoo\\anaconda3\\envs\\mlenv\\Lib\\json\\encoder.py:180\u001b[0m, in \u001b[0;36mJSONEncoder.default\u001b[1;34m(self, o)\u001b[0m\n\u001b[0;32m    161\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdefault\u001b[39m(\u001b[38;5;28mself\u001b[39m, o):\n\u001b[0;32m    162\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"Implement this method in a subclass such that it returns\u001b[39;00m\n\u001b[0;32m    163\u001b[0m \u001b[38;5;124;03m    a serializable object for ``o``, or calls the base implementation\u001b[39;00m\n\u001b[0;32m    164\u001b[0m \u001b[38;5;124;03m    (to raise a ``TypeError``).\u001b[39;00m\n\u001b[1;32m   (...)\u001b[0m\n\u001b[0;32m    178\u001b[0m \n\u001b[0;32m    179\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[1;32m--> 180\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mObject of type \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mo\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m    181\u001b[0m                     \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mis not JSON serializable\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
+      "\u001b[1;31mTypeError\u001b[0m: Object of type Response is not JSON serializable"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "\n",
+    "# Assuming 'response' is the JSON response from the OCR API\n",
+    "print(json.dumps(response, indent=4))\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "mlenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

inferenced/csv_files/Output_0.csv

@@ -0,0 +1,3 @@
+RECEIPTNUMBER,MERCHANTNAME,MERCHANTADDRESS,TRANSACTIONDATE,TRANSACTIONTIME,ITEMS,PRICE,TOTAL,VATTAX
+# 1457229,7 - ELEVEN �,"Poblacion , Leon , Iloilo ,",05 / 01 / 2023 ( Mon ),16 : 54 : 23,NESTEALEMICET500ML,35.000,76.00,8.14
+# 1457229,7 - ELEVEN �,"Poblacion , Leon , Iloilo ,",05 / 01 / 2023 ( Mon ),16 : 54 : 23,ArlaGStrwbryT200ml,41.000,76.00,8.14

inferenced/output.csv

@@ -0,0 +1,3 @@
+RECEIPTNUMBER,MERCHANTNAME,MERCHANTADDRESS,TRANSACTIONDATE,TRANSACTIONTIME,ITEMS,PRICE,TOTAL,VATTAX
+# 1457229,7 - ELEVEN �,"Poblacion , Leon , Iloilo ,",05 / 01 / 2023 ( Mon ),16 : 54 : 23,NESTEALEMICET500ML,35.000,76.00,8.14
+# 1457229,7 - ELEVEN �,"Poblacion , Leon , Iloilo ,",05 / 01 / 2023 ( Mon ),16 : 54 : 23,ArlaGStrwbryT200ml,41.000,76.00,8.14

log/error_output.log

@@ -326,3 +326,322 @@ Traceback (most recent call last):
 TypeError: The view function for 'create_csv' did not return a valid response. The function either returned None or ended without a return statement.
 2024-02-22 17:02:51,766 INFO werkzeug 127.0.0.1 - - [22/Feb/2024 17:02:51] "GET /create_csv HTTP/1.1" 500 -
 2024-02-22 17:02:52,348 INFO werkzeug 127.0.0.1 - - [22/Feb/2024 17:02:52] "GET /get_data HTTP/1.1" 404 -
+2024-05-14 23:17:20,132 ERROR app 'NoneType' object is not iterable
+2024-05-14 23:17:20,132 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:20] "GET /run_inference HTTP/1.1" 302 -
+2024-05-14 23:17:20,211 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:20] "GET /create_csv HTTP/1.1" 500 -
+2024-05-14 23:17:21,304 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /static/temp/img_display/sample_coop.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:17:21,304 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /get_data HTTP/1.1" 404 -
+2024-05-14 23:17:21,320 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /static/temp/img_display/sample_711.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:17:21,320 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /static/temp/img_display/sample_grace.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:17:21,335 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /static/temp/img_display/sample1_711.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:17:21,367 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:17:21] "GET /static/temp/img_display/sample1_grace.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:19:04,201 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:04] "GET /static/temp/img_display/sample1_grace.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-14 23:19:06,397 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET / HTTP/1.1" 200 -
+2024-05-14 23:19:06,524 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /styles.css HTTP/1.1" 404 -
+2024-05-14 23:19:06,659 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/css/style.css HTTP/1.1" 304 -
+2024-05-14 23:19:06,712 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/css/color.css HTTP/1.1" 304 -
+2024-05-14 23:19:06,719 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/css/font-awesome.min.css HTTP/1.1" 304 -
+2024-05-14 23:19:06,723 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/css/animate.css HTTP/1.1" 304 -
+2024-05-14 23:19:06,788 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/images/logo.png HTTP/1.1" 304 -
+2024-05-14 23:19:06,825 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/images/uplogo.gif HTTP/1.1" 304 -
+2024-05-14 23:19:06,869 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/jquery.1.8.3.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:06,875 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/wow.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:06,900 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/featherlight.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:06,950 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/featherlight.gallery.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:06,975 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/jquery.enllax.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:06,987 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:06] "GET /static/js/jquery.scrollUp.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,025 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/static/js/jquery.stickyNavbar.min.js HTTP/1.1" 404 -
+2024-05-14 23:19:07,033 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/js/jquery.easing.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,074 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/js/jquery.waypoints.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,097 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/js/images-loaded.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,107 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/js/lightbox.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,139 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/js/site.js HTTP/1.1" 304 -
+2024-05-14 23:19:07,946 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:07] "GET /static/images/favicon.ico HTTP/1.1" 304 -
+2024-05-14 23:19:27,049 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:27] "POST /upload HTTP/1.1" 302 -
+2024-05-14 23:19:35,432 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /predict/%5B'sample_grace.jpg',%20'sample1_711.jpg',%20'sample1_grace.jpg'%5D HTTP/1.1" 200 -
+2024-05-14 23:19:35,609 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /predict/css/animate.css HTTP/1.1" 404 -
+2024-05-14 23:19:35,623 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/css/style.css HTTP/1.1" 304 -
+2024-05-14 23:19:35,641 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/css/color.css HTTP/1.1" 304 -
+2024-05-14 23:19:35,751 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/css/font-awesome.min.css HTTP/1.1" 304 -
+2024-05-14 23:19:35,765 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/temp/img_display/sample1_711.jpg HTTP/1.1" 200 -
+2024-05-14 23:19:35,780 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/temp/img_display/sample_grace.jpg HTTP/1.1" 200 -
+2024-05-14 23:19:35,989 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:35] "GET /static/js/jquery.1.8.3.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,035 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/images/logo.png HTTP/1.1" 304 -
+2024-05-14 23:19:36,089 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/images/avatar.gif HTTP/1.1" 304 -
+2024-05-14 23:19:36,101 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/temp/img_display/sample1_grace.jpg HTTP/1.1" 200 -
+2024-05-14 23:19:36,191 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/wow.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,201 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/featherlight.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,230 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/featherlight.gallery.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,264 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/jquery.enllax.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,299 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/jquery.scrollUp.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,340 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/jquery.easing.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,350 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/jquery.stickyNavbar.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,386 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/jquery.waypoints.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,398 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/images-loaded.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,451 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/lightbox.min.js HTTP/1.1" 304 -
+2024-05-14 23:19:36,538 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:36] "GET /static/js/site.js HTTP/1.1" 304 -
+2024-05-14 23:19:37,526 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:19:37] "GET /static/images/favicon.ico HTTP/1.1" 304 -
+2024-05-14 23:21:37,313 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:21:37] "GET /run_inference HTTP/1.1" 302 -
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+2024-05-14 23:36:06,138 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/featherlight.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,196 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/featherlight.gallery.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,242 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/jquery.easing.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,249 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/static/js/jquery.stickyNavbar.min.js HTTP/1.1" 404 -
+2024-05-14 23:36:06,285 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/jquery.enllax.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,302 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/jquery.scrollUp.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,356 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/images-loaded.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,358 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/jquery.waypoints.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,430 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/lightbox.min.js HTTP/1.1" 304 -
+2024-05-14 23:36:06,565 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:06] "GET /static/js/site.js HTTP/1.1" 304 -
+2024-05-14 23:36:08,126 INFO werkzeug 127.0.0.1 - - [14/May/2024 23:36:08] "GET /static/images/favicon.ico HTTP/1.1" 304 -
+2024-05-14 23:36:39,815 INFO werkzeug  * Detected change in 'C:\\Users\\Ayoo\\Desktop\\bewwebapp\\app.py', reloading

templates/extractor.html

@@ -24,19 +24,20 @@
     <link href='https://fonts.googleapis.com/css?family=Open+Sans:400,300,600,700,800' rel='stylesheet' type='text/css'>
     <link rel="preconnect" href="https://fonts.googleapis.com">
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
-    <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@100;200;300;400;500;600&display=swap" rel="stylesheet">
+    <link href="https://fonts.googleapis.com/css2?family=Poppins:wght@100;200;300;400;500;600&display=swap"
+        rel="stylesheet">
     <title>ExCeipt | Extractor</title>
     <style>
         body {
             background-color: #ddd;
         }
-        
+
         .containerz {
             display: flex;
             width: 100vw;
             height: 100vh;
         }
-        
+
         .left-column {
             padding-top: 100px;
             flex: 2;
@@ -48,28 +49,39 @@
             box-shadow: inset 0 15px 30px rgba(0, 0, 0, 0.1);
             overflow-y: auto;
         }
+
         #canvas-container {
             display: flex;
-            flex-wrap: wrap; /* Wrap items to next line when they exceed the container width */
-            justify-content: center; /* Center items horizontally */
-            gap: 10px; /* Add some space between images */
-            max-width: 100%; /* Ensure images don't exceed the container width */
+            flex-wrap: wrap;
+            /* Wrap items to next line when they exceed the container width */
+            justify-content: center;
+            /* Center items horizontally */
+            gap: 10px;
+            /* Add some space between images */
+            max-width: 100%;
+            /* Ensure images don't exceed the container width */
             margin-top: 70px;
         }
-    
+
         .image-container {
-            width: 200px; /* Set your desired width */
-            height: 300px; /* Set your desired height */
-            background-color: white; /* White background */
-            padding: 30px 30px 40px 30px; /* Add padding */
+            width: 200px;
+            /* Set your desired width */
+            height: 300px;
+            /* Set your desired height */
+            background-color: white;
+            /* White background */
+            padding: 30px 30px 40px 30px;
+            /* Add padding */
             box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-            border-radius:10px;
+            border-radius: 10px;
         }
-        .image-container:hover{
+
+        .image-container:hover {
             transition: all 0.3s;
             transform: translateY(1.5px);
             box-shadow: 0 6px 8px rgba(0, 0, 0, 0.4);
         }
+
         .image-container img {
             width: 100%;
             height: 100%;
@@ -77,16 +89,17 @@
             box-shadow: 0 6px 8px rgba(0, 0, 0, 0.1);
             transition: all 0.3s;
         }
+
         p.images-name {
             text-overflow: ellipsis;
             white-space: nowrap;
             overflow: hidden;
             font-size: 10px;
-            margin: 5px 0 0 0 ;
+            margin: 5px 0 0 0;
             text-align: center;
             padding: 0;
         }
-    
+
         .right-column {
             flex: 2;
             background-color: #ffffff;
@@ -94,7 +107,7 @@
             overflow-y: auto;
             max-height: 100vh;
         }
-        
+
         .backbutton {
             box-sizing: border-box;
             border-radius: 10px;
@@ -112,7 +125,7 @@
             position: fixed;
             z-index: 999;
         }
-        
+
         .backbutton span {
             text-decoration: none;
             color: black;
@@ -120,78 +133,78 @@
             font-size: 14px;
             font-weight: 300;
         }
-        
+
         .backbutton:hover {
             background: linear-gradient(45deg, #FF6347, #FFA07A);
             transition: all .3s ease-in-out;
         }
-        
+
         .backbutton:hover span {
             color: white;
             transition: all .3s ease-in-out;
         }
-        
+
         .backbutton:hover i {
             color: white;
             transition: all .3s ease-in-out;
         }
-        
+
         .left-column h1 {
             padding-top: 45px;
         }
-        
+
         #canvas-container {
             position: relative;
             width: 100%;
             height: 100%;
         }
-        
+
         #canvas {
             cursor: grab;
             user-select: none;
         }
-        
+
         #upload-input {
             margin-top: 10px;
             object-position: center;
         }
-        
+
         .bordered-table {
             justify-content: center;
             display: flex;
             padding: 0px 30px;
         }
-        
+
         .bordered-table tbody td.full-width {
             display: flex;
             flex-wrap: wrap;
             align-items: center;
         }
-        
+
         .bordered-table tbody td.full-width .label {
             width: 100px;
             text-align: right;
             margin-right: 5px;
         }
-        
+
         .bordered-table tbody td .full-width input {
             flex-grow: 1;
         }
-        
+
         .bordered-table tbody td.full-width {
             display: grid;
             grid-template-columns: 100px 1fr;
         }
-        
+
         .bordered-table tbody td.full-width .label {
             justify-self: end;
         }
-        
+
         #logox {
             display: flex;
             justify-content: center;
         }
-        
+
         #logox img {
             position: relative;
             object-position: center;
@@ -199,60 +212,63 @@
             height: 25%;
             padding: 10px 10px 10px 10px;
         }
-        
+
         .receipt {
             margin: 20px 20px;
         }
-        
+
         .receipt1 {
             margin: 20px 20px;
             font: 14px;
         }
-        
+
         .receipt1 table {
             border-radius: 10px;
         }
-        
+
         .receipt h1 {
             text-align: center;
         }
-        
+
         .receipt .details {
             margin: 0px 0px 0px 15px;
         }
-        
+
         .receipt table {
             width: 100%;
             border-collapse: collapse;
             margin-bottom: 20px;
         }
+
         .receipt table {
             border-radius: 10px;
         }
+
         .receipt table th,
         .receipt table td {
             border: 1px solid #ccc;
             padding: 5px;
         }
-        
+
         .receipt table th {
             background-color: #f0f0f0;
             text-align: left;
-            font-size:16px;
-            font-weight:500;
-            text-align:center;
+            font-size: 16px;
+            font-weight: 500;
+            text-align: center;
         }
-        
+
         .receipt table td {
-            text-align:center;
+            text-align: center;
             font-size: 14px;
-            max-width: 150px; /* Set the maximum width */
+            max-width: 150px;
+            /* Set the maximum width */
             overflow: hidden;
             text-overflow: ellipsis;
             white-space: nowrap;
-            padding: 0 20px ;
+            padding: 0 20px;
         }
-        
+
         #dataTable {
             border-radius: 10px;
             border-collapse: collapse;
@@ -262,22 +278,22 @@
             table-layout: fixed;
             overflow-x: auto;
         }
-        
+
         #receiptdiv {
             display: none;
         }
-        
+
         #dataTable th,
         #dataTable td {
             font-size: 12px;
             text-align: center;
             padding: 3px;
         }
-        
+
         #downloadbutton {
             display: none;
         }
-        
+
         #loadingSpinner {
             position: relative;
             top: 20%;
@@ -292,26 +308,27 @@
             display: none;
             /* Hide initially */
         }
-        
+
         @keyframes spin {
             0% {
                 transform: rotate(0deg);
             }
+
             100% {
                 transform: rotate(360deg);
             }
         }
-        
+
         #uploadbutton:disabled {
             cursor: not-allowed;
             background-color: #dddddd;
         }
-        
+
         .labels {
             margin: 0 0 0 20px;
             font-weight: 500;
         }
-        
+
         .labels p {
             font-size: 14px;
             padding-top: 8px;
@@ -320,25 +337,25 @@
             padding: 8px 0 0 0;
             text-align: left;
         }
-        
+
         #filenm {
             position: relative;
             z-index: 999;
         }
-        
+
         .valid {
             padding-left: 8px;
             font-weight: 300;
             font-size: 14px;
         }
-        
+
         .details1 {
             border-radius: 10px;
             z-index: -1;
         }
-        .details{
 
-        }
+        .details {}
+
         .exportbutton {
             margin-right: 17px;
             box-sizing: border-box;
@@ -355,14 +372,14 @@
             color: white;
             cursor: pointer;
         }
-        
+
         .exportbutton:hover {
             border: 2px solid #FF8B4A;
             background: #f5f5f5;
             color: #000;
             transition: all .3s ease-in-out;
         }
-        
+
         @media (max-width: 1024px) {
             .filenm {
                 border-radius: 10px;
@@ -371,40 +388,49 @@
                 padding: 9px 11px;
                 margin: 0;
             }
+
             .filenm span {
                 text-overflow: ellipsis;
                 white-space: nowrap;
                 overflow: hidden;
             }
+
             .backbutton span {
                 font-size: 9px;
             }
+
             .backbutton {
                 padding: 12px 14px;
                 border-radius: 10px;
             }
+
             .receipt {
                 margin: 15px 15px;
             }
+
             p {
                 padding: 10px;
                 font-size: 13px;
             }
+
             p.desc {
                 font-size: 8px;
                 text-align: left;
             }
+
             .labels {
                 text-align: left;
             }
+
             .labels p {
                 padding: 8px 0 8px 0;
             }
+
             .avatargif img {
                 margin-top: 1.5em;
             }
         }
-        
+
         @media (max-width: 768px) {
             #logox img {
                 position: relative;
@@ -413,6 +439,7 @@
                 height: 30%;
                 padding: 10px 10px 10px 10px;
             }
+
             .filenm {
                 border-radius: 6px;
                 gap: 0.3em;
@@ -420,48 +447,59 @@
                 padding: 10px 12px;
                 margin: 0;
             }
+
             .filenm span {
                 text-overflow: ellipsis;
                 white-space: nowrap;
                 overflow: hidden;
             }
+
             .backbutton span {
                 font-size: 10px;
             }
+
             .backbutton {
                 padding: 12px 14px;
                 border-radius: 6px;
             }
+
             .labels {
                 padding: 0 0 5px 0;
                 margin: 0;
             }
+
             p {
                 padding: 8px;
                 font-size: 12px;
             }
+
             .uploadbutton {
                 padding: 8px 24px;
                 font-size: 14px;
                 font-weight: 300;
             }
+
             p.desc {
                 font-size: 6px;
                 line-height: 12px;
             }
+
             .valid {
                 padding-left: 5px;
                 font-size: 12px;
             }
+
             .labels p {
                 padding: 8px 0 8px 0;
             }
+
             #dataTable th,
             #dataTable td {
                 font-size: 6px;
                 text-align: left;
                 padding: 1px;
             }
+
             .exportbutton {
                 margin-left: 17px;
                 border-radius: 5px;
@@ -469,29 +507,35 @@
                 font-weight: 300;
                 font-size: 12px;
             }
+
             .avatargif img {
                 margin-top: 1.25em;
             }
         }
-        
+
         @media screen and (max-width: 576px) {
+
             /* Styles for screens up to 576px wide */
             .containerz {
                 flex-direction: column;
             }
+
             .left-column,
             .right-column {
                 flex: 1;
                 width: 100%;
             }
+
             .left-column {
                 box-shadow: inset 0 15px 30px rgba(0, 0, 0, 0.1);
                 padding: 10px;
             }
+
             .right-column {
                 border-radius: 20px;
                 flex: 1.2;
             }
+
             .filenm {
                 border-radius: 7px;
                 gap: 0.3em;
@@ -502,40 +546,49 @@
                 padding: 8px 10px;
                 margin: 0;
             }
+
             .backbutton span {
                 font-size: 12px;
             }
+
             .backbutton {
                 padding: 8px 10px;
                 border-radius: 7px;
             }
+
             .labels {
                 padding: 0 0 5px 0;
                 margin: 0;
             }
+
             .uploadbutton {
                 padding: 6px 22px;
                 font-size: 12px;
                 font-weight: 300;
             }
+
             p.desc {
                 font-size: 4px;
                 text-align: left;
                 line-height: 10px;
             }
+
             .valid {
                 padding-left: 5px;
                 font-size: 10px;
             }
+
             .labels p {
                 padding: 8px 0 8px 0;
             }
+
             #dataTable th,
             #dataTable td {
                 font-size: 6px;
                 text-align: left;
                 padding: 1px;
             }
+
             .exportbutton {
                 margin-left: 17px;
                 border-radius: 5px;
@@ -543,11 +596,12 @@
                 font-weight: 300;
                 font-size: 10px;
             }
+
             .avatargif img {
                 margin-top: 1em;
             }
         }
-        
+
         p.desc {
             font-size: 10px;
             font-family: 'Poppins';
@@ -557,26 +611,27 @@
             line-height: 12px;
             font-style: italic;
         }
-        
+
         .fa-spinner {
             font-size: 16px;
         }
-        
+
         .avatargif {
             display: flex;
             justify-content: center;
             align-items: center;
         }
-        
+
         .avatargif img {
             margin-top: 3.5em;
             width: 40%;
             height: 40%;
         }
+
         .red-border {
             border: 2px solid red;
         }
-        
+
         .green-border {
             border: 2px solid green;
         }
@@ -607,7 +662,7 @@
             opacity: 0;
             transition: opacity 0.3s;
         }
-        
+
         .tooltiptext::after {
             content: "";
             position: absolute;
@@ -618,6 +673,7 @@
             border-style: solid;
             border-color: #333 transparent transparent transparent;
         }
+
         .zoomed-image-container {
             position: fixed;
             top: 0;
@@ -630,12 +686,13 @@
             align-items: center;
             z-index: 999;
         }
-    
+
         .zoomed-image-container img {
             max-width: 90%;
             max-height: 90%;
             object-fit: contain;
         }
+
         @media (max-width: 576px) {
             .zoomed-image-container {
                 position: fixed;
@@ -648,10 +705,10 @@
                 justify-content: center;
                 align-items: center;
                 z-index: 999;
+                /* Optional: If you want to hide the scrollbar in Firefox */
+                scrollbar-width: none;
             }
         }
-        /* Optional: If you want to hide the scrollbar in Firefox */
-        scrollbar-width: none;
     </style>
     <script src="https://cdn.lordicon.com/lordicon.js"></script>
 </head>
@@ -662,23 +719,26 @@
     </div>
     <div class="containerz">
         <div class="left-column">
-            <button class="backbutton" id="submitButton" onclick="window.location.href='{{ url_for('index') }}'">
+            <button class="backbutton" id="submitButton" onclick="window.location.href='{{ index_url }}'">
                 <i class="fa-solid fa-arrow-left"></i>
                 <span>Back</span>
             </button>
             <div id="canvas-container">
                 {% if image_paths %}
-                    {% for image_path, prediction_results_copy in predictions.items() %}
-                        <div class="image-container {% if prediction_results_copy == 'non-receipt' %}red-border{% elif prediction_results_copy == 'receipt' %}green-border{% endif %}">
-                            <div class="tooltiptext">Click to view fullscreen</div>
-                            <img src="{{ url_for('static', filename='temp/img_display/' + image_path) }}" id="my-image" alt="uploads" />
-                            <div class="image-name">
-                                <p class="images-name">{{image_path}}</p>
-                            </div>
-                        </div>
-                    {% endfor %}
+                {% for image_path, prediction_results_copy in predictions.items() %}
+                <div
+                    class="image-container {% if prediction_results_copy == 'non-receipt' %}red-border{% elif prediction_results_copy == 'receipt' %}green-border{% endif %}">
+                    <div class="tooltiptext">Click to view fullscreen</div>
+                    <img src="{{ url_for('static', filename='temp/img_display/' + image_path) }}" id="my-image"
+                        alt="uploads"
+                        data-img-path="{{ url_for('static', filename='temp/img_display/' + image_path) }}" />
+                    <div class="image-name">
+                        <p class="images-name">{{image_path}}</p>
+                    </div>
+                </div>
+                {% endfor %}
                 {% else %}
-                    <p>No files uploaded.</p>
+                <p>No files uploaded.</p>
                 {% endif %}
             </div>
         </div>
@@ -692,44 +752,50 @@
             <hr style="color: #ccc; width:95%; opacity:0.35;">
             <div class="labels" style="margin: 0 0 0 20px;">
                 <p>Receipt Verification</p>
-                <p class="desc">Verify receipt details attentively, acknowledging occasional misclassification, which may arise from variations in image quality or format.</p>
+                <p class="desc">Verify receipt details attentively, acknowledging occasional misclassification, which
+                    may arise from variations in image quality or format.</p>
             </div>
             <div class="receipt">
-            <table>
-                <thead>
-                    <tr>
-                        <th>File Name</th>
-                        <th>Prediction Result</th>
-                    </tr>
-                </thead>
-                <tbody>
-                    {% for image_path, prediction_results_copy in predictions.items() %}
-                    <tr>
-                        <td>{{ image_path }}</td>
-                        <td>
-                            <div class="details">
-                                <div style="display: flex; align-items: center; justify-content: center;">
-                                    {% if prediction_results_copy.lower() == 'receipt' %}
-                                    <lord-icon src="https://cdn.lordicon.com/lomfljuq.json" trigger="in" delay="1500" colors="primary:#16c72e" state="morph-check-in-1" style="width:25px;height:25px">
-                                    </lord-icon>
-                                    <p class="valid">Valid Receipt</p>
-                                    {% else %}
-                                    <lord-icon src="https://cdn.lordicon.com/zxvuvcnc.json" trigger="in" delay="1500" state="morph-cross-in" colors="primary:#e83a30" style="width:25px;height:25px">
-                                    </lord-icon>
-                                    <p class="valid">Not a Receipt</p>
-                                    {% endif %}
+                <table>
+                    <thead>
+                        <tr>
+                            <th>File Name</th>
+                            <th>Prediction Result</th>
+                        </tr>
+                    </thead>
+                    <tbody>
+                        {% for image_path, prediction_results_copy in predictions.items() %}
+                        <tr>
+                            <td>{{ image_path }}</td>
+                            <td>
+                                <div class="details">
+                                    <div style="display: flex; align-items: center; justify-content: center;">
+                                        {% if prediction_results_copy.lower() == 'receipt' %}
+                                        <lord-icon src="https://cdn.lordicon.com/lomfljuq.json" trigger="in"
+                                            delay="1500" colors="primary:#16c72e" state="morph-check-in-1"
+                                            style="width:25px;height:25px">
+                                        </lord-icon>
+                                        <p class="valid">Valid Receipt</p>
+                                        {% else %}
+                                        <lord-icon src="https://cdn.lordicon.com/zxvuvcnc.json" trigger="in"
+                                            delay="1500" state="morph-cross-in" colors="primary:#e83a30"
+                                            style="width:25px;height:25px">
+                                        </lord-icon>
+                                        <p class="valid">Not a Receipt</p>
+                                        {% endif %}
+                                    </div>
                                 </div>
-                            </div>
-                        </td>
-                    </tr>
-                    {% endfor %}
-                </tbody>
-            </table>
+                            </td>
+                        </tr>
+                        {% endfor %}
+                    </tbody>
+                </table>
             </div>
             <hr style="color: #ccc; width:95%; opacity:0.35;">
             <div class="labels" style="margin: 0 0 0 20px;">
                 <p>Text Extraction</p>
-                <p class="desc">Ensure optimal text extraction accuracy from receipts by making sure that the receipt image is clear, well-lit, and after extraction review the extracted text and edit.</p>
+                <p class="desc">Ensure optimal text extraction accuracy from receipts by making sure that the receipt
+                    image is clear, well-lit, and after extraction review the extracted text and edit.</p>
             </div>
             <div style="text-align: center; margin-top: 25px;">
                 <button id="uploadbutton" class="uploadbutton" type="submit">
@@ -766,7 +832,7 @@
                 <a href="{{ url_for('download_csv') }}">
                     <button class="exportbutton" type="submit"><i class="fa-solid fa-download"></i>Download CSV</button>
                 </a>
-                <button class="exportbutton" onclick="window.location.href='{{ url_for('index') }}'">
+                <button class="exportbutton" onclick="window.location.href='{{ index_url }}'">
                     <span id="uploadIcon"><i class="fas fa-upload"></i></span>
                     <span>Upload again</span>
                 </button>
@@ -777,14 +843,14 @@
         </div>
         <a href="https://lordicon.com/" hidden>Icons by Lordicon.com</a>
         <script>
-            document.addEventListener('DOMContentLoaded', function() {
+            document.addEventListener('DOMContentLoaded', function () {
                 const dataTable = document.getElementById('receiptdiv');
                 const loadingSpinner = document.getElementById('loadingIcon');
                 const extractingText = document.getElementById('extractingText');
                 const runInferenceButton = document.getElementById('uploadbutton');
                 const exportCSVButton = document.getElementById('downloadbutton');
 
-                document.getElementById('uploadbutton').addEventListener('click', function() {
+                document.getElementById('uploadbutton').addEventListener('click', function () {
                     loadingSpinner.style.display = 'inline-block'; // Show loading spinner
                     extractingText.textContent = 'Extracting...'; // Change text to "Extracting..."
                     runInferenceButton.disabled = true;
@@ -802,24 +868,42 @@
                     // Show the table when data is updated
                     dataTable.style.display = 'table';
                 }
+                const imageElement = document.getElementById('my-image'); // replace 'my-image' with the id of your image element
+
 
                 async function runInference() {
                     await fetch('/run_inference');
 
-                    setTimeout(function() {
+                    setTimeout(function () {
                         loadingSpinner.style.display = 'none';
                         runInferenceButton.style.display = 'none';
                         exportCSVButton.style.display = 'flex';
+                        var imageElements = document.querySelectorAll('[data-img-path]');
+
+                        // Iterate over each image
+                        imageElements.forEach(function (imageElement) {
+                            var imagePath = imageElement.dataset.imgPath;
+                            // Remove the 'temp/img_display/' part from the imagePath
+                            // var newImagePath = imagePath.replace('temp/img_display/', '');
+                            // Update the image source
+                            imageElement.src = imagePath + "_inference.jpg";
 
+                            // Add an error handler
+                            imageElement.onerror = function () {
+                                // Hide the image's container if the image fails to load
+                                this.parentElement.style.display = 'none';
+                            };
+                        });
                         getData();
                     }, 500);
                 }
 
+
                 function updateTable(data) {
                     Papa.parse(data, {
                         header: true,
                         skipEmptyLines: true,
-                        complete: function(results) {
+                        complete: function (results) {
                             const tbody = document.querySelector('#dataTable tbody');
                             tbody.innerHTML = ''; // Clear existing rows