works

app.py

@@ -1,14 +1,11 @@
-import io
 import urllib
 import pandas as pd
 import numpy as np
-# import fitz
 from pdf2image import convert_from_path
 import cv2
 import pytesseract
 import requests
 import json
-from PIL import Image
 import re
 from roboflow import Roboflow
 import gradio as gr
@@ -166,20 +163,6 @@ shops = {
     # Add more shops and their respective information here
 }
 
-# def pdf_to_images(pdf_path):
-#     doc = fitz.open(pdf_path)
-#     images = []
-#     for page in doc:
-#         for img in page.get_images(full=True):
-#             xref = img[0]
-#             base_image = doc.extract_image(xref)
-#             image_bytes = base_image["image"]
-#             # You can use PIL to do many things with this image data.
-#             # If you need it as an array for OpenCV, you can do that as follows:
-#             image = Image.open(io.BytesIO(image_bytes))
-#             images.append(np.array(image))
-#     return images
-
 def pdf_to_images(pdf_path):
     images = convert_from_path(pdf_path)
     return [cv2.cvtColor(np.array(img), cv2.COLOR_RGB2BGR) for img in images]