reaplce tesseract with easyocr

because tesseract assumed not working in gradio

app.py

@@ -2,7 +2,7 @@ import gradio as gr
 from huggingface_hub import hf_hub_download
 from PIL import Image
 import torch
-import pytesseract
+import easyocr
 from transformers import AutoImageProcessor, AutoModelForObjectDetection
 
 # Load the processor and model for table structure recognition
@@ -13,6 +13,9 @@ model = AutoModelForObjectDetection.from_pretrained("microsoft/table-transformer
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 model.to(device)
 
+# Initialize EasyOCR Reader
+reader = easyocr.Reader(['en'])  # You can specify the language (e.g., 'en' for English)
+
 # Define the inference and OCR function
 def predict(image):
     # Preprocess the input image
@@ -53,8 +56,8 @@ def predict(image):
         # Crop the image to the bounding box area
         cropped_image = image.crop((left, top, right, bottom))
 
-        # Perform OCR on the cropped image
-        ocr_text = pytesseract.image_to_string(cropped_image)
+        # Perform OCR using EasyOCR
+        ocr_text = reader.readtext(cropped_image, detail=0)  # detail=0 returns just the text
 
         # Append OCR result for this box
         ocr_results.append({
@@ -74,4 +77,3 @@ interface = gr.Interface(
 
 # Launch the Gradio app
 interface.launch()
-#recheck gradio bugging