Update app.py

app.py

@@ -1,9 +1,10 @@
 import numpy as np
 import cv2
 import imutils
-import easyocr
+import pytesseract
 import pandas as pd
 import time
+import os
 
 from PIL import Image
 import streamlit as st
@@ -46,14 +47,12 @@ if img_file_buffer is not None:
     # Display the image with contours
     st.image(image_with_contours, caption="Image with detected license plate")
 
-    # Initialize the OCR reader
-    reader = easyocr.Reader(['en'])
-
-    # Run OCR on the cropped image
-    results = reader.readtext(new_img, detail=0)
-
-    # Concatenate the recognized text as a single string
-    text = ' '.join(results)
+    # Configuration for tesseract
+    tesseract_path = os.path.abspath("tessract/tesseract.exe")
+    pytesseract.pytesseract.tesseract_cmd = tesseract_path
+    
+    # Run tesseract OCR on the cropped image
+    text = pytesseract.image_to_string(new_img, lang="eng")
 
     # Data is stored in CSV file
     raw_data = {'date': [time.asctime(time.localtime(time.time()))], 'v_number': [text]}
@@ -67,5 +66,4 @@ if img_file_buffer is not None:
     st.write(text)
 
 if bytes_data is None:
-    st.stop()
-    
+    st.stop()