app.py

from fastapi import FastAPI, File, UploadFile
import face_recognition
import pickle
from fastapi.responses import JSONResponse
import numpy as np

app = FastAPI()

# Load known face encodings and names
with open('encodings.pickle', 'rb') as f:
    data = pickle.load(f)

known_encodings = data["encodings"]
known_names = data["names"]

@app.post("/recognize/")
async def recognize_face(file: UploadFile = File(...)):
    contents = await file.read()
    image = face_recognition.load_image_file(contents)
    encodings = face_recognition.face_encodings(image)

    if not encodings:
        return JSONResponse(content={"error": "No faces found in the image"}, status_code=400)

    # Compare with known encodings
    matches = face_recognition.compare_faces(known_encodings, encodings[0])
    
    matched_names = []
    if True in matches:
        matched_indices = [i for i, match in enumerate(matches) if match]
        matched_names = [known_names[i] for i in matched_indices]

    return {"matched_names": matched_names}