app.py

from flask import Flask, render_template, request, jsonify
from deepface import DeepFace
import tempfile
import os

app = Flask(__name__, template_folder="templates", static_folder="static")

# preload emotion model once
models_cache = {
    "emotion": DeepFace.build_model("Emotion")
}

@app.route("/")
def index():
    return render_template("index.html")

@app.route("/detect_live", methods=["POST"])
def detect_live():
    if "frame" not in request.files:
        return jsonify({"error": "no frame uploaded"}), 400

    file = request.files["frame"]
    tmp = tempfile.NamedTemporaryFile(delete=False)
    file.save(tmp.name)

    try:
        result = DeepFace.analyze(
            img_path=tmp.name,
            actions=["emotion"],
            models=models_cache,
            detector_backend="mediapipe",
            enforce_detection=False
        )
    except Exception as e:
        os.remove(tmp.name)
        return jsonify({"error": str(e)}), 500

    os.remove(tmp.name)

    dominant = result[0]["dominant_emotion"]
    scores = result[0]["emotion"]

    return jsonify({
        "emotion": dominant,
        "scores": scores
    })

if __name__ == "__main__":
    app.run(host="0.0.0.0", port=7860)