added the content editable and removed the whitespace delimiter and replaced it with getting the whole text

Layoutlmv3_inference/inference_handler.py

@@ -131,14 +131,14 @@ class ModelHandler(object):
 
                 output_spans = []
                 for span in spans:
-                    if len(span) == 1:
-                        output_span = {"text": span[0]['text'],
+                    if span[0]['label'] in ['ITEMS', 'PRICE']:
+                        output_span = {"text": ' '.join([entity['text'] for entity in span]) + '|',
                                     "label": span[0]['label'],
                                     "words": [{
-                                        'id': span[0]['id'],
-                                        'box': span[0]['box'],
-                                        'text': span[0]['text']
-                                    }],
+                                        'id': entity['id'],
+                                        'box': entity['box'],
+                                        'text': entity['text']
+                                    } for entity in span]
                                     }
                     else:
                         output_span = {"text": ' '.join([entity['text'] for entity in span]),
@@ -148,7 +148,6 @@ class ModelHandler(object):
                                         'box': entity['box'],
                                         'text': entity['text']
                                     } for entity in span]
-
                                     }
                     output_spans.append(output_span)
                 docs.append({f'output': output_spans})

Layoutlmv3_inference/ocr.py

@@ -7,7 +7,6 @@ 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):
@@ -76,41 +75,8 @@ 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:
@@ -126,7 +92,8 @@ 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 = "K88232854988957"  # Replace with your actual OCR Space API key
+        api_key = "K88232854988957"
         language = "eng"
 
         # Save the preprocessed image

Layoutlmv3_inference/ocr2.py

@@ -0,0 +1,233 @@
+import os
+import pandas as pd
+import cv2
+import numpy as np
+import json
+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):
+    try:
+        # Read the image
+        image = cv2.imread(image_path)
+        # Enhance text
+        enhanced = enhance_txt(image)
+
+        # Save the enhanced image to a temporary file
+        temp_file_path = tempfile.NamedTemporaryFile(suffix='.jpg').name
+        cv2.imwrite(temp_file_path, enhanced)
+
+        # Check file size of the temporary file
+        file_size_mb = os.path.getsize(temp_file_path) / (1024 * 1024)  # Convert to megabytes
+
+        while file_size_mb > max_file_size_mb:
+            print(f"File size ({file_size_mb} MB) exceeds the maximum allowed size ({max_file_size_mb} MB). Resizing the image.")
+            ratio = np.sqrt(target_file_size_mb / file_size_mb)
+            new_width = int(image.shape[1] * ratio)
+            new_height = int(image.shape[0] * ratio)
+
+            # Resize the image
+            enhanced = cv2.resize(enhanced, (new_width, new_height))
+
+            # Save the resized image to a temporary file
+            temp_file_path = tempfile.NamedTemporaryFile(suffix='.jpg').name
+            cv2.imwrite(temp_file_path, enhanced)
+
+            # Update file size
+            file_size_mb = os.path.getsize(temp_file_path) / (1024 * 1024)
+            print(f"New file size: ({file_size_mb} MB)")
+
+        # Return the final resized image
+        image_resized = cv2.imread(temp_file_path)
+        return image_resized
+
+    except Exception as e:
+        print(f"An error occurred in preprocess_image: {str(e)}")
+        return None
+
+
+def enhance_txt(img, intensity_increase=20, bilateral_filter_diameter=9, bilateral_filter_sigma_color=75, bilateral_filter_sigma_space=75):
+    # Get the width and height of the image
+    w = img.shape[1]
+    h = img.shape[0]
+    w1 = int(w * 0.05)
+    w2 = int(w * 0.95)
+    h1 = int(h * 0.05)
+    h2 = int(h * 0.95)
+    ROI = img[h1:h2, w1:w2]  # 95% of the center of the image
+    threshold = np.mean(ROI) * 0.88  # % of average brightness
+
+    # Convert image to grayscale
+    grayscale_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
+
+    # Apply Gaussian blur
+    blurred = cv2.GaussianBlur(grayscale_img, (1, 1), 0)
+
+    edged = 255 - cv2.Canny(blurred, 100, 150, apertureSize=7)
+
+    # Increase intensity by adding a constant value
+    img = np.clip(img + intensity_increase, 0, 255).astype(np.uint8)
+
+    # Apply bilateral filter to reduce noise
+    img = cv2.bilateralFilter(img, bilateral_filter_diameter, bilateral_filter_sigma_color, bilateral_filter_sigma_space)
+
+    _, binary = cv2.threshold(blurred, threshold, 255, cv2.THRESH_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:
+        image_name = os.path.basename(image_path)
+        image_name = image_name[:image_name.find('.')]
+
+        # Create the "temp" folder if it doesn't exist
+        temp_folder = "static/temp"
+        if not os.path.exists(temp_folder):
+            os.makedirs(temp_folder)
+
+        # Define the OCR API endpoint
+        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
+        language = "eng"
+
+        # Save the preprocessed image
+        cv2.imwrite(os.path.join(temp_folder, f"{image_name}_preprocessed.jpg"), preprocessed_image)
+
+        # Open the preprocessed image file as binary
+        with open(os.path.join(temp_folder, f"{image_name}_preprocessed.jpg"), "rb") as f:
+            # Define the payload for the API request
+            payload = {
+                "apikey": api_key,
+                "language": language,
+                "isOverlayRequired": True,
+                "OCREngine": 2
+            }
+            # Define the file parameter for the API request
+            file = {
+                "file": f
+            }
+            # Send the POST request to the OCR API
+            response = requests.post(url, data=payload, files=file)
+
+        # Check the status code of the response
+        if response.status_code == 200:
+            # Parse the JSON response
+            result = response.json()
+            print("---JSON file saved")
+            # Save the OCR result as JSON
+            with open(os.path.join(temp_folder, f"{image_name}_ocr.json"), 'w') as f:
+                json.dump(result, f)
+
+            return os.path.join(temp_folder, f"{image_name}_ocr.json")
+        else:
+            # Print the error message
+            print("Error: " + response.text)
+            return None
+
+    except Exception as e:
+        print(f"An error occurred during OCR request: {str(e)}")
+        return None
+
+def clean_tesseract_output(json_output_path):
+    try:
+        with open(json_output_path, 'r') as json_file:
+            data = json.load(json_file)
+
+        lines = data['ParsedResults'][0]['TextOverlay']['Lines']
+
+        words = []
+        for line in lines:
+            for word_info in line['Words']:
+                word = {}
+                origin_box = [
+                    word_info['Left'],
+                    word_info['Top'],
+                    word_info['Left'] + word_info['Width'],
+                    word_info['Top'] + word_info['Height']
+                ]
+
+                word['word_text'] = word_info['WordText']
+                word['word_box'] = origin_box
+                words.append(word)
+
+        return words
+    except (KeyError, IndexError, FileNotFoundError, json.JSONDecodeError) as e:
+        print(f"Error cleaning Tesseract output: {str(e)}")
+        return None
+
+def prepare_batch_for_inference(image_paths):
+    # print("my_function was called")
+    # traceback.print_stack()  # This will print the stack trace
+    print(f"Number of images to process: {len(image_paths)}")  # Print the total number of images to be processed
+    print("1. Preparing for Inference")
+    tsv_output_paths = []
+
+    inference_batch = dict()
+    print("2. Starting Preprocessing")
+    # Ensure that the image is only 1
+    for image_path in image_paths:
+        print(f"Processing the image: {image_path}")  # Print the image being processed
+        print("3. Preprocessing the Receipt")
+        preprocessed_image = preprocess_image(image_path)
+        if preprocessed_image is not None:
+            print("4. Preprocessing done. Running OCR")
+            json_output_path = run_tesseract_on_preprocessed_image(preprocessed_image, image_path)
+            print("5. OCR Complete")
+            if json_output_path:
+                tsv_output_paths.append(json_output_path)
+                
+    print("6. Preprocessing and OCR Done")
+    # clean_outputs is a list of lists
+    clean_outputs = [clean_tesseract_output(tsv_path) for tsv_path in tsv_output_paths]
+    print("7. Cleaned OCR output")
+    word_lists = [[word['word_text'] for word in clean_output] for clean_output in clean_outputs]
+    print("8. Word List Created")
+    boxes_lists = [[word['word_box'] for word in clean_output] for clean_output in clean_outputs]
+    print("9. Box List Created")
+    inference_batch = {
+        "image_path": image_paths,
+        "bboxes": boxes_lists,
+        "words": word_lists
+    }
+
+    print("10. Prepared for Inference Batch")
+    return inference_batch

app.py

@@ -1,6 +1,6 @@
 
 # Dependencies
-from flask import Flask, request, render_template, jsonify, send_file, redirect, url_for, flash, send_from_directory, session
+from flask import Flask, request, render_template, jsonify, send_file, redirect, url_for, flash, send_from_directory, session, Response
 from PIL import Image, ImageDraw
 import torch
 from transformers import LayoutLMv2ForTokenClassification, LayoutLMv3Tokenizer
@@ -15,7 +15,6 @@ import sys
 from fastai import *
 from fastai.vision import *
 from fastai.metrics import error_rate
-from fastai.learner import load_learner
 from werkzeug.utils import secure_filename
 import pandas as pd
 from itertools import zip_longest
@@ -25,7 +24,6 @@ import signal
 import shutil
 from datetime import datetime
 import zipfile
-from pathlib import Path
 
 # LLM
 import argparse
@@ -104,24 +102,36 @@ def upload_files():
 
 
 def make_predictions(image_paths):
-    model_path = Path('model/export')
-    learner = load_learner(model_path)
-    
-    predictions = []
+    temp = None
+    try:
+        # For Windows OS
+        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)
+        
+        predictions = []
 
-    for image_path in image_paths:
-        # Open the image using fastai's open_image function
-        image = open_image(image_path)
+        for image_path in image_paths:
+            # Open the image using fastai's open_image function
+            image = open_image(image_path)
 
-        # Make a prediction
-        prediction_class, prediction_idx, probabilities = learner.predict(image)
+            # Make a prediction
+            prediction_class, prediction_idx, probabilities = learner.predict(image)
 
-        # If you want the predicted class as a string
-        predicted_class_str = str(prediction_class)
-        
-        predictions.append(predicted_class_str)
+            # If you want the predicted class as a string
+            predicted_class_str = str(prediction_class)
+            
+            predictions.append(predicted_class_str)
+
+        return predictions
 
-    return predictions
+    except Exception as e:
+        return {"error in make_predictions": str(e)}
+        
+    finally:
+        pathlib.PosixPath = temp 
 
 
 @app.route('/predict/<filenames>', methods=['GET', 'POST'])
@@ -222,10 +232,10 @@ def stop_inference():
         logging.error(f"Error terminating run_inference process: {err}")
 
 # Define a function to replace all symbols with periods
-def replace_symbols_with_period(value):
-    # return re.sub(r'\W+', '.', str(value))
-    return value.replace(',', '.')
-
+def replace_symbols_with_period(text):
+    # Replace all non-alphanumeric characters with a period
+    text = re.sub(r'\W+', '.', text)
+    return text
 
 
 @app.route('/create_csv', methods=['GET'])
@@ -257,8 +267,13 @@ def create_csv():
                 label_texts = {}
                 for item in all_data:
                     label = item['label']
-                    text = item['text']
-                    label_texts[label] = text
+                    text = item['text'].replace('|', '')  # Strip the pipe character
+                    if label == 'VATTAX' or label == 'TOTAL':
+                        text = replace_symbols_with_period(text.replace(' ', ''))  # Remove spaces and replace symbols with periods
+                    if label in label_texts:
+                        label_texts[label].append(text)
+                    else:
+                        label_texts[label] = [text]
 
                 # Writing data to CSV file with ordered columns
                 csv_file_path = os.path.join(output_folder_path, os.path.splitext(filename)[0] + '.csv')
@@ -268,18 +283,20 @@ def create_csv():
                         csv_writer.writeheader()
 
                     # Constructing rows for the CSV file
-                    items = label_texts.get('ITEMS', '').split()
-                    prices = label_texts.get('PRICE', '').split()
-                    max_length = max(len(items), len(prices))
+                    max_length = max(len(v) for v in label_texts.values())
                     for i in range(max_length):
                         row_data = {}
                         for label in column_order:
-                            # Use get() with default '' to handle missing labels gracefully
-                            row_data[label] = label_texts.get(label, '')
-                        # Check if items and prices are separated by space
-                        if i < len(items) and i < len(prices):
-                            row_data['ITEMS'] = items[i]
-                            row_data['PRICE'] = prices[i]
+                            if label in label_texts:  # Check if the label exists in the dictionary
+                                if label == 'ITEMS' or label == 'PRICE':
+                                    if i < len(label_texts.get(label, [])):
+                                        row_data[label] = label_texts[label][i]
+                                    else:
+                                        row_data[label] = ''
+                                else:
+                                    row_data[label] = label_texts[label][0]
+                            else:
+                                row_data[label] = ''  # If the label does not exist, set the value to an empty string
                         csv_writer.writerow(row_data)
 
         # Combining contents of CSV files into a single CSV file
@@ -305,6 +322,10 @@ def create_csv():
         print(f"An error occurred in create_csv: {str(e)}")
         return None
 
+    except Exception as e:
+        print(f"An error occurred in create_csv: {str(e)}")
+        return None
+
     except FileNotFoundError as e:
         print(f"File not found error: {str(e)}")
         return jsonify({'error': 'File not found.'}), 404
@@ -322,17 +343,16 @@ def create_csv():
 def get_data():
     return send_from_directory('static/temp/inferenced','output.csv', as_attachment=False)
 
-from flask import jsonify
 
-@app.route('/download_csv', methods=['GET'])
+@app.route('/download_csv', methods=['POST'])
 def download_csv():
     try:
-        output_file_path = r"static/temp/inferenced/output.csv"  # path to output CSV file
-        # Check if the file exists
-        if os.path.exists(output_file_path):
-            return send_file(output_file_path, as_attachment=True, download_name='output.csv')
-        else:
-            return jsonify({"error": "CSV file not found"})
+        csv_data = request.data.decode('utf-8')  # Get the CSV data from the request
+        return Response(
+            csv_data,
+            mimetype="text/csv",
+            headers={"Content-disposition":
+                    "attachment; filename=output.csv"})
     except Exception as e:
         return jsonify({"error": f"Download failed: {str(e)}"})
 

inferenced/csv_files/Output_0.csv

@@ -1,3 +0,0 @@
-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

@@ -1,3 +0,0 @@
-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

@@ -645,3 +645,498 @@ TypeError: The view function for 'create_csv' did not return a valid response. T
 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
+2024-05-15 15:06:02,225 ERROR app 'NoneType' object is not iterable
+2024-05-15 15:06:02,238 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:02] "GET /run_inference HTTP/1.1" 302 -
+2024-05-15 15:06:02,287 ERROR app Exception on /create_csv [GET]
+Traceback (most recent call last):
+  File "C:\Users\Ayoo\anaconda3\lib\site-packages\flask\app.py", line 2525, in wsgi_app
+    response = self.full_dispatch_request()
+  File "C:\Users\Ayoo\anaconda3\lib\site-packages\flask\app.py", line 1823, in full_dispatch_request
+    return self.finalize_request(rv)
+  File "C:\Users\Ayoo\anaconda3\lib\site-packages\flask\app.py", line 1842, in finalize_request
+    response = self.make_response(rv)
+  File "C:\Users\Ayoo\anaconda3\lib\site-packages\flask\app.py", line 2134, in make_response
+    raise TypeError(
+TypeError: The view function for 'create_csv' did not return a valid response. The function either returned None or ended without a return statement.
+2024-05-15 15:06:02,300 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:02] "GET /create_csv HTTP/1.1" 500 -
+2024-05-15 15:06:03,126 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:03] "GET /get_data HTTP/1.1" 404 -
+2024-05-15 15:06:03,142 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:03] "GET /static/temp/img_display/sample1_grace.jpg_inference.jpg HTTP/1.1" 404 -
+2024-05-15 15:06:40,142 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET / HTTP/1.1" 200 -
+2024-05-15 15:06:40,208 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /styles.css HTTP/1.1" 404 -
+2024-05-15 15:06:40,227 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/css/style.css HTTP/1.1" 304 -
+2024-05-15 15:06:40,235 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/css/color.css HTTP/1.1" 304 -
+2024-05-15 15:06:40,243 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/css/font-awesome.min.css HTTP/1.1" 304 -
+2024-05-15 15:06:40,247 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/css/animate.css HTTP/1.1" 304 -
+2024-05-15 15:06:40,264 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/images/logo.png HTTP/1.1" 304 -
+2024-05-15 15:06:40,280 INFO werkzeug 127.0.0.1 - - [15/May/2024 15:06:40] "GET /static/js/jquery.1.8.3.min.js HTTP/1.1" 304 -
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requirements.txt

@@ -1,17 +1,14 @@
-pandas
-# git+https://github.com/huggingface/transformers.git
-# git+https://github.com/huggingface/datasets.git
+git+https://github.com/huggingface/transformers.git
+git+https://github.com/huggingface/datasets.git
 dill<0.3.5
 seqeval
 accelerate
 flask
-fastai
-# pytesseract==0.3.8
-pillow==9.5.0
-tqdm==4.66.1
+fastai==1.0.61
+pytesseract
+pandas
+numpy
+pillow
+tqdm
 gunicorn
 opencv-python-headless
-transformers==4.31.0
-numpy==1.24.3
-datasets==2.14.6
-Werkzeug

static/css/extractor.css

@@ -0,0 +1,682 @@
+
+body {
+    background-color: #ddd;
+}
+
+.containerz {
+    display: flex;
+    width: 100vw;
+    height: 100vh;
+}
+
+.left-column {
+    padding-top: 100px;
+    flex: 2;
+    background-color: #ddd;
+    padding: 20px;
+    max-height: 100vh;
+    width: 100%;
+    max-width: 100%;
+    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 */
+    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 */
+    box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
+    border-radius: 10px;
+}
+
+.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%;
+    object-fit: contain;
+    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;
+    text-align: center;
+    padding: 0;
+}
+
+.right-column {
+    flex: 2;
+    background-color: #ffffff;
+    padding: 20px;
+    overflow-y: auto;
+    max-height: 100vh;
+}
+
+.backbutton {
+    box-sizing: border-box;
+    border-radius: 10px;
+    color: var(--secondary-color);
+    padding: 1em 1.8em;
+    display: flex;
+    transition: 0.2s background;
+    align-items: center;
+    gap: 0.6em;
+    font-weight: bold;
+    background: rgba(255, 255, 255, 0.6);
+    backdrop-filter: blur(10px);
+    border: none;
+    cursor: pointer;
+    position: fixed;
+    z-index: 999;
+}
+
+.backbutton span {
+    text-decoration: none;
+    color: black;
+    font-family: 'Poppins', sans-serif, Arial, Helvetica;
+    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;
+    width: 25%;
+    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;
+}
+
+.receipt table td {
+    text-align: center;
+    font-size: 14px;
+    max-width: 150px;
+    /* Set the maximum width */
+    overflow: hidden;
+    text-overflow: ellipsis;
+    white-space: nowrap;
+    padding: 0 20px;
+}
+
+#dataTable {
+    border-radius: 10px;
+    border-collapse: collapse;
+    width: 100%;
+    width: 100%;
+    border-collapse: collapse;
+    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%;
+    left: 50%;
+    transform: translate(-50%, -50%);
+    border: 4px solid rgba(0, 0, 0, 0.1);
+    border-left: 4px solid #FF8B4A;
+    border-radius: 50%;
+    width: 30px;
+    height: 30px;
+    animation: spin 1s linear infinite;
+    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;
+    line-height: 5px;
+    color: ccc;
+    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 {}
+
+.exportbutton {
+    margin-right: 17px;
+    box-sizing: border-box;
+    border-radius: 10px;
+    padding: 1em 1.8em;
+    display: flex;
+    transition: 0.2s background;
+    align-items: center;
+    gap: 0.6em;
+    font-weight: 400;
+    background: linear-gradient(45deg, #FF6347, #FFA07A);
+    backdrop-filter: blur(10px);
+    border: 2px solid transparent;
+    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;
+        gap: 0.3em;
+        font-size: 9px;
+        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;
+        object-position: center;
+        width: 30%;
+        height: 30%;
+        padding: 10px 10px 10px 10px;
+    }
+
+    .filenm {
+        border-radius: 6px;
+        gap: 0.3em;
+        font-size: 10px;
+        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;
+        padding: .8em 1em;
+        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;
+        font-size: 12px;
+        white-space: nowrap;
+        overflow: hidden;
+        text-overflow: ellipsis;
+        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;
+        padding: .5em .8em;
+        font-weight: 300;
+        font-size: 10px;
+    }
+
+    .avatargif img {
+        margin-top: 1em;
+    }
+}
+
+p.desc {
+    font-size: 10px;
+    font-family: 'Poppins';
+    font-weight: 200;
+    margin: 0;
+    padding: 0;
+    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;
+}
+
+::-webkit-scrollbar {
+    display: none;
+}
+
+.image-container:hover .tooltiptext {
+    visibility: visible;
+    opacity: 1;
+}
+
+.tooltiptext {
+    font-size: 12px;
+    visibility: hidden;
+    width: 160px;
+    background-color: #333;
+    color: #fff;
+    text-align: center;
+    border-radius: 8px;
+    padding: 5px;
+    position: absolute;
+    z-index: 99;
+    bottom: 105%;
+    left: 50%;
+    margin-left: -80px;
+    opacity: 0;
+    transition: opacity 0.3s;
+}
+
+.tooltiptext::after {
+    content: "";
+    position: absolute;
+    top: 100%;
+    left: 50%;
+    margin-left: -5px;
+    border-width: 5px;
+    border-style: solid;
+    border-color: #333 transparent transparent transparent;
+}
+
+.zoomed-image-container {
+    position: fixed;
+    top: 0;
+    left: 0;
+    width: 50%;
+    height: 100%;
+    background-color: rgba(0, 0, 0, 0.8);
+    display: flex;
+    justify-content: center;
+    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;
+        top: 0;
+        left: 0;
+        width: 100%;
+        height: 45%;
+        background-color: rgba(0, 0, 0, 0.8);
+        display: flex;
+        justify-content: center;
+        align-items: center;
+        z-index: 999;
+        /* Optional: If you want to hide the scrollbar in Firefox */
+        scrollbar-width: none;
+    }
+}

templates/extractor.html

@@ -9,7 +9,9 @@
     <link rel="shortcut icon" href="/static/images/favicon.ico" title="Favicon" />
 
     <!-- Main CSS Files -->
-    <link rel="stylesheet" href="/static/css/style.css">
+    <!-- <link rel="stylesheet" href="/static/css/style.css"> -->
+    <link rel="stylesheet" href="{{ url_for('static', filename='css/style.css') }}">
+    <link rel="stylesheet" href="{{ url_for('static', filename='css/extractor.css') }}">
 
     <!-- Color CSS -->
     <link rel="stylesheet" href="/static/css/color.css">
@@ -27,689 +29,7 @@
     <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;
-            background-color: #ddd;
-            padding: 20px;
-            max-height: 100vh;
-            width: 100%;
-            max-width: 100%;
-            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 */
-            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 */
-            box-shadow: 0 4px 6px rgba(0, 0, 0, 0.1);
-            border-radius: 10px;
-        }
-
-        .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%;
-            object-fit: contain;
-            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;
-            text-align: center;
-            padding: 0;
-        }
-
-        .right-column {
-            flex: 2;
-            background-color: #ffffff;
-            padding: 20px;
-            overflow-y: auto;
-            max-height: 100vh;
-        }
-
-        .backbutton {
-            box-sizing: border-box;
-            border-radius: 10px;
-            color: var(--secondary-color);
-            padding: 1em 1.8em;
-            display: flex;
-            transition: 0.2s background;
-            align-items: center;
-            gap: 0.6em;
-            font-weight: bold;
-            background: rgba(255, 255, 255, 0.6);
-            backdrop-filter: blur(10px);
-            border: none;
-            cursor: pointer;
-            position: fixed;
-            z-index: 999;
-        }
-
-        .backbutton span {
-            text-decoration: none;
-            color: black;
-            font-family: 'Poppins', sans-serif, Arial, Helvetica;
-            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;
-            width: 25%;
-            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;
-        }
-
-        .receipt table td {
-            text-align: center;
-            font-size: 14px;
-            max-width: 150px;
-            /* Set the maximum width */
-            overflow: hidden;
-            text-overflow: ellipsis;
-            white-space: nowrap;
-            padding: 0 20px;
-        }
-
-        #dataTable {
-            border-radius: 10px;
-            border-collapse: collapse;
-            width: 100%;
-            width: 100%;
-            border-collapse: collapse;
-            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%;
-            left: 50%;
-            transform: translate(-50%, -50%);
-            border: 4px solid rgba(0, 0, 0, 0.1);
-            border-left: 4px solid #FF8B4A;
-            border-radius: 50%;
-            width: 30px;
-            height: 30px;
-            animation: spin 1s linear infinite;
-            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;
-            line-height: 5px;
-            color: ccc;
-            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 {}
-
-        .exportbutton {
-            margin-right: 17px;
-            box-sizing: border-box;
-            border-radius: 10px;
-            padding: 1em 1.8em;
-            display: flex;
-            transition: 0.2s background;
-            align-items: center;
-            gap: 0.6em;
-            font-weight: 400;
-            background: linear-gradient(45deg, #FF6347, #FFA07A);
-            backdrop-filter: blur(10px);
-            border: 2px solid transparent;
-            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;
-                gap: 0.3em;
-                font-size: 9px;
-                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;
-                object-position: center;
-                width: 30%;
-                height: 30%;
-                padding: 10px 10px 10px 10px;
-            }
-
-            .filenm {
-                border-radius: 6px;
-                gap: 0.3em;
-                font-size: 10px;
-                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;
-                padding: .8em 1em;
-                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;
-                font-size: 12px;
-                white-space: nowrap;
-                overflow: hidden;
-                text-overflow: ellipsis;
-                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;
-                padding: .5em .8em;
-                font-weight: 300;
-                font-size: 10px;
-            }
-
-            .avatargif img {
-                margin-top: 1em;
-            }
-        }
-
-        p.desc {
-            font-size: 10px;
-            font-family: 'Poppins';
-            font-weight: 200;
-            margin: 0;
-            padding: 0;
-            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;
-        }
-
-        ::-webkit-scrollbar {
-            display: none;
-        }
-
-        .image-container:hover .tooltiptext {
-            visibility: visible;
-            opacity: 1;
-        }
-
-        .tooltiptext {
-            font-size: 12px;
-            visibility: hidden;
-            width: 160px;
-            background-color: #333;
-            color: #fff;
-            text-align: center;
-            border-radius: 8px;
-            padding: 5px;
-            position: absolute;
-            z-index: 99;
-            bottom: 105%;
-            left: 50%;
-            margin-left: -80px;
-            opacity: 0;
-            transition: opacity 0.3s;
-        }
-
-        .tooltiptext::after {
-            content: "";
-            position: absolute;
-            top: 100%;
-            left: 50%;
-            margin-left: -5px;
-            border-width: 5px;
-            border-style: solid;
-            border-color: #333 transparent transparent transparent;
-        }
-
-        .zoomed-image-container {
-            position: fixed;
-            top: 0;
-            left: 0;
-            width: 50%;
-            height: 100%;
-            background-color: rgba(0, 0, 0, 0.8);
-            display: flex;
-            justify-content: center;
-            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;
-                top: 0;
-                left: 0;
-                width: 100%;
-                height: 45%;
-                background-color: rgba(0, 0, 0, 0.8);
-                display: flex;
-                justify-content: center;
-                align-items: center;
-                z-index: 999;
-                /* Optional: If you want to hide the scrollbar in Firefox */
-                scrollbar-width: none;
-            }
-        }
-    </style>
+
     <script src="https://cdn.lordicon.com/lordicon.js"></script>
 </head>
 
@@ -830,7 +150,8 @@
 
             <div style="text-align: center; display: none; justify-content: center;" id="downloadbutton">
                 <a href="{{ url_for('download_csv') }}">
-                    <button class="exportbutton" type="submit"><i class="fa-solid fa-download"></i>Download CSV</button>
+                    <button id="downloadButton" class="exportbutton" type="submit"><i
+                            class="fa-solid fa-download"></i>Download CSV</button>
                 </a>
                 <button class="exportbutton" onclick="window.location.href='{{ index_url }}'">
                     <span id="uploadIcon"><i class="fas fa-upload"></i></span>
@@ -843,6 +164,8 @@
         </div>
         <a href="https://lordicon.com/" hidden>Icons by Lordicon.com</a>
         <script>
+            const index_url = '{{ index_url }}';  // Replace with the actual value if it's not supposed to be a template variable
+
             document.addEventListener('DOMContentLoaded', function () {
                 const dataTable = document.getElementById('receiptdiv');
                 const loadingSpinner = document.getElementById('loadingIcon');
@@ -937,7 +260,44 @@
                 }
 
             });
+
+            document.querySelector('#downloadButton').addEventListener('click', function (event) {
+                event.preventDefault();  // Prevent the default action
+
+                const tbody = document.querySelector('#dataTable tbody');
+                const rows = Array.from(tbody.querySelectorAll('tr'));
+
+                // Define your headers
+                const headers = ['RECEIPTNUMBER', 'MERCHANTNAME', 'MERCHANTADDRESS', 'TRANSACTIONDATE', 'TRANSACTIONTIME', 'ITEMS', 'PRICE', 'TOTAL', 'VATTAX'];
+
+                // Convert the content to CSV format
+                const csvData = [headers.join(',')].concat(rows.map(row => {
+                    const cells = Array.from(row.querySelectorAll('td'));
+                    return cells.map(cell => cell.textContent.replace(/,/g, '.')).join(',');
+                })).join('\n');
+
+                // Send a POST request to the server with the CSV data
+                fetch(index_url + 'download_csv', {
+                    method: 'POST',
+                    headers: {
+                        'Content-Type': 'text/csv'
+                    },
+                    body: csvData
+                })
+                    .then(response => response.blob())
+                    .then(blob => {
+                        // Create a Blob URL and initiate the download
+                        const url = URL.createObjectURL(blob);
+                        const a = document.createElement('a');
+                        a.href = url;
+                        a.download = 'data.csv';
+                        a.click();
+                    });
+            });
         </script>
+
+
+
         <!-- Include JavaScript resources -->
         <script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.3.0/papaparse.min.js"></script>
         <script src="/static/js/jquery.1.8.3.min.js"></script>