app.py

import gradio as gr
import base64
import requests
import json

# Replace with your actual API key and model name
API_KEY = "your_openrouter_api_key"
IMAGE_MODEL = "OpenGVLab/InternVL3-14B"

def process_passport(image):
    try:
        # Encode image to base64
        encoded_image = base64.b64encode(image.read()).decode("utf-8")
        data_url = f"data:image/jpeg;base64,{encoded_image}"

        prompt = "Extract all visible information from the front page of the passport. Output in JSON format."

        payload = {
            "model": IMAGE_MODEL,
            "messages": [
                {
                    "role": "user",
                    "content": [
                        {"type": "text", "text": prompt},
                        {"type": "image_url", "image_url": {"url": data_url}}
                    ]
                }
            ]
        }

        headers = {
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json"
        }

        response = requests.post("https://openrouter.ai/api/v1/chat/completions", headers=headers, json=payload)
        result = response.json()

        print("📡 OpenRouter Response:", result)

        # Return the whole raw JSON result
        return json.dumps(result, indent=2)

    except Exception as e:
        return f"⚠️ Error: {str(e)}"

# Gradio Interface
iface = gr.Interface(
    fn=process_passport,
    inputs=gr.Image(type="file", label="Upload Passport Front"),
    outputs=gr.Code(label="OpenRouter Raw JSON Result", language="json"),
    title="Passport Front Image Extractor",
    description="Upload a front image of a passport. The app will use OpenRouter to extract the visible details and return the result as JSON."
)

if __name__ == "__main__":
    iface.launch()