Update app.py

app.py

@@ -4,7 +4,7 @@ import torch
 import numpy as np
 import cv2
 from PIL import Image
-import pytesseract
+import pytesseract as tess
 from sentence_transformers import SentenceTransformer, util
 import io
 
@@ -27,7 +27,7 @@ model = AutoModelForCausalLM.from_pretrained(
 
 # Move model to the appropriate device (CPU or CUDA)
 model.to(device)
-
+tess.pytesseract.tesseract_cmd = r"/app/tesseract.exe"
 # Load a smaller version of Sentence-BERT model
 model1 = SentenceTransformer('all-MiniLM-L6-v2')
 
@@ -56,7 +56,7 @@ def extract_text_from_image(image):
     # Convert PIL image to RGB format
     image = image.convert('RGB')
     # Use pytesseract to extract text from the image
-    text = pytesseract.image_to_string(image)
+    text = tess.image_to_string(image)
     return text.strip()
 
 def evaluate_answer(image):