app.py

import gradio as gr
import requests
from PIL import Image
import io

# Your n8n webhook URL
WEBHOOK_URL = "https://sanjay192005.app.n8n.cloud/webhook/a3acb431-0656-43cb-91f9-4d09827c4226"

def redact_pii(image):
    """
    Takes an uploaded image and sends it to the n8n webhook for PII redaction.
    Returns the redacted image.
    """
    if image is None:
        return None, "Please upload an image first."
    
    try:
        # Convert the image to bytes
        img = Image.fromarray(image)
        img_byte_arr = io.BytesIO()
        img.save(img_byte_arr, format='JPEG')
        img_byte_arr.seek(0)
        
        # Prepare the file for upload
        files = {
            'file': ('image.jpg', img_byte_arr, 'image/jpeg')
        }
        
        # Send POST request to n8n webhook
        response = requests.post(WEBHOOK_URL, files=files, timeout=120)
        
        # Check if request was successful
        if response.status_code == 200:
            # Convert response bytes to image
            redacted_image = Image.open(io.BytesIO(response.content))
            return redacted_image, "✅ Redaction completed successfully!"
        else:
            return None, f"❌ Error: Server returned status code {response.status_code}"
            
    except requests.exceptions.Timeout:
        return None, "❌ Error: Request timed out. Please try again."
    except requests.exceptions.RequestException as e:
        return None, f"❌ Error: {str(e)}"
    except Exception as e:
        return None, f"❌ Error processing image: {str(e)}"

# Create the Gradio interface
with gr.Blocks(title="PII Redaction Tool", theme=gr.themes.Soft()) as demo:
    
    gr.Markdown(
        """
        # 🔒 PII Redaction Tool
        Upload a document image containing Personally Identifiable Information (PII). 
        The system will automatically detect and redact:
        - **Names**
        - **Dates of Birth**
        - **ID Numbers** (Aadhaar, etc.)
        - **Addresses**
        - **Faces**
        """
    )
    
    with gr.Row():
        with gr.Column():
            gr.Markdown("### 📤 Upload Document")
            input_image = gr.Image(
                label="Upload Image",
                type="numpy",
                height=400
            )
            redact_btn = gr.Button("🔒 Redact PII", variant="primary", size="lg")
            
        with gr.Column():
            gr.Markdown("### ✅ Redacted Document")
            output_image = gr.Image(
                label="Redacted Image",
                height=400
            )
            status_text = gr.Textbox(
                label="Status",
                interactive=False,
                lines=2
            )
    
    gr.Markdown(
        """
        ---
        ### ⚠️ Privacy Notice
        - Your documents are processed securely
        - No data is stored permanently
        - Images are transmitted over secure connections
        
        ### 📝 Supported Documents
        - Aadhaar Cards
        - Passports
        - Driver's Licenses
        - Any document with text and faces
        """
    )
    
    # Connect the button to the function
    redact_btn.click(
        fn=redact_pii,
        inputs=input_image,
        outputs=[output_image, status_text]
    )
    
    # Also allow pressing Enter to submit
    input_image.change(
        fn=lambda: "Image loaded. Click 'Redact PII' to process.",
        inputs=None,
        outputs=status_text
    )

# Launch the app
if __name__ == "__main__":
    demo.launch()