Update app.py

app.py

@@ -1,24 +1,27 @@
 import gradio as gr
 from transformers import pipeline
-import pytesseract
+import easyocr
 from PIL import Image
 
 # Load the NLP model for text simplification
 simplify_model = pipeline("summarization", model="t5-small")
 
+# Initialize EasyOCR reader
+reader = easyocr.Reader(["en"])
+
 def process_image(image):
     """
-    Extract text from an uploaded image and simplify it.
+    Extract text from an uploaded image using EasyOCR and simplify it.
     """
-    # Extract text using Tesseract OCR
-    text = pytesseract.image_to_string(Image.open(image))
+    # Convert image to text using EasyOCR
+    results = reader.readtext(image, detail=0)
+    text = " ".join(results)
     
-    # Check if text is empty
     if not text.strip():
         return "No text detected in the image. Please upload a clear image of the text."
 
     # Simplify the extracted text
-    simplified_text = simplify_model(text, max_length=50, min_length=10, do_sample=False)[0]['summary_text']
+    simplified_text = simplify_model(text, max_length=50, min_length=10, do_sample=False)[0]["summary_text"]
     return simplified_text
 
 # Create a Gradio interface
@@ -27,7 +30,7 @@ interface = gr.Interface(
     inputs="image",
     outputs="text",
     title="Simplify Book Content",
-    description="Upload a photo of a book page to get a simplified explanation in simple English."
+    description="Upload a photo of a book page to get a simplified explanation in simple English.",
 )
 
 # Launch the app