Create app.py

app.py

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+import gradio as gr
+import pytesseract
+from PIL import Image
+
+# Function to extract text from the uploaded image
+def extract_text(image):
+    text = pytesseract.image_to_string(image, lang='eng+hin')  # Extract text using Tesseract
+    return text
+
+# Function to extract text and perform keyword search
+def ocr_and_search(image, keyword):
+    extracted_text = extract_text(image)  # Get the extracted text
+    if keyword:
+        # Search for the keyword in the extracted text
+        matching_lines = [line for line in extracted_text.splitlines() if keyword.lower() in line.lower()]
+        return extracted_text, matching_lines  # Return both extracted text and matching lines
+    else:
+        return extracted_text, []  # If no keyword, return empty list for matches
+
+# Create a Gradio interface
+interface = gr.Interface(
+    fn=ocr_and_search,
+    inputs=[
+        gr.Image(type="pil", label="Upload Image"),  # Input for image upload
+        gr.Textbox(label="Enter Keyword")  # Input for keyword search
+    ],
+    outputs=[
+        gr.Textbox(label="Extracted Text"),  # Output for extracted text
+        gr.Textbox(label="Matching Lines")  # Output for matching lines based on keyword search
+    ],
+    title="OCR with Keyword Search",
+    description="Upload an image and enter a keyword to search within the extracted text."
+)
+
+# Launch the app with share=True to create a public link
+if __name__ == "__main__":
+    interface.launch(share=True)  # Set share=True to generate a public URL