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import gradio as gr
import base64
import requests
import json
API_KEY = "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"
IMAGE_MODEL = "opengvlab/internvl3-14b:free"
def process_passport(image):
try:
with open(image, "rb") as f:
encoded_image = base64.b64encode(f.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()
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()
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