Create app.py

app.py

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+import os
+os.environ["GRADIO_ANALYTICS_ENABLED"] = "False"
+from PIL import Image
+import pytesseract
+import gradio as gr
+
+# Function to extract text and search for a keyword
+def ocr_with_search(image, keyword):
+    # Extract text using OCR (supports Hindi and English)
+   
+    text = pytesseract.image_to_string(image, lang='hin+eng')
+    
+    # Split text into lines and search for keyword
+    matched_lines = [line for line in text.split('\n') if keyword.lower() in line.lower()]
+    
+    # Return extracted text and matching lines
+    return text, '\n'.join(matched_lines)
+
+# Gradio interface to upload image and search for keywords
+def create_interface():
+    # Create Gradio interface
+    iface = gr.Interface(
+        fn=ocr_with_search,  # Function for OCR and search
+        inputs=[
+            gr.Image(type="pil", label="Upload Image"),  # Image upload
+            gr.Textbox(placeholder="Enter keyword to search", label="Keyword Search")  # Keyword search input
+        ],
+        outputs=[
+            gr.Textbox(label="Extracted Text"),  # Full extracted text
+            gr.Textbox(label="Search Results")   # Matching keyword results
+        ],
+        title="Hindi and English OCR with Keyword Search",
+        description="Upload an image containing Hindi and English text. Extract the text and search for keywords."
+    )
+
+    # Launch the interface
+    iface.launch(share=True)
+
+# Run the Gradio interface
+if __name__ == "__main__":
+    create_interface()