app.py

import tempfile
from fastapi import FastAPI, File, UploadFile
from gradio_client import Client, handle_file

app = FastAPI()
client = Client("kevansoon/FaceRecognition-LivenessDetection-Demo")

@app.post("/face-recognition")
async def face_recognition_post(image: UploadFile = File(...)):
    # Save uploaded image to temp file
    with tempfile.NamedTemporaryFile(delete=False, suffix=".png") as temp_file:
        content = await image.read()
        temp_file.write(content)
        temp_filepath = temp_file.name

    # Hardcoded second image URL
    image2_url = "https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg"

    # Call Gradio client with temp file path and URL wrapped in handle_file
    result = client.predict(
        frame1=handle_file(temp_filepath),  # Pass local file path wrapped with handle_file
        frame2=handle_file(image2_url),    # Pass URL wrapped with handle_file
        api_name="/face_compare"
    )

    # Optional: remove temp file after use if desired
    # import os
    # os.unlink(temp_filepath)

    # Parse the result string as before
    str_ = result
    start_index = str_.find("Similarity")
    sliced_str = str_[start_index:] if start_index != -1 else ""
    import re
    decimal_match = re.search(r"<td>(0?\.\d+)<\/td>", sliced_str)
    decimal_number = float(decimal_match.group(1)) if decimal_match else None
    print("Similarity decimal:", decimal_number)

    return {"result":str(decimal_number)}