app.py

# app_gradio.py
# ──────────────────────────────────────────────────────────
# Webcam → geometric detector → static WAV alert (with cooldown)
# Live console logs of per-frame latency + status.
# ──────────────────────────────────────────────────────────
import time, os, yaml, logging, numpy as np, gradio as gr, soundfile as sf
from dotenv import load_dotenv

from src.detection.factory import get_detector    # your existing factory

# ───────────────────────────── logging
logging.basicConfig(
    level=logging.INFO,
    format="%(asctime)s │ %(message)s",
    datefmt="%H:%M:%S",
)

# ───────────────────────────── config / detector
load_dotenv()
with open("config.yaml") as f:
    CFG = yaml.safe_load(f)

detector = get_detector(CFG)

# ───────────────────────────── alert sound (read once)
wav_path = CFG["alerting"]["alert_sound_path"]
try:
    ALERT_SR, ALERT_DATA = sf.read(wav_path, dtype="float32")  #  (sr, np.ndarray)
    logging.info(f"Loaded alert sound: {wav_path}  ({len(ALERT_DATA)/ALERT_SR:.2f}s)")
except Exception as e:
    ALERT_SR, ALERT_DATA = None, None
    logging.warning(f"Failed to load alert sound: {e}")

# ───────────────────────────── simple cooldown
ALERT_COOLDOWN = CFG["alerting"].get("alert_cooldown_seconds", 7)
_last_alert_ts = 0.0

# ───────────────────────────── frame callback
def process_live_frame(frame):
    global _last_alert_ts

    if frame is None:
        return np.zeros((480, 640, 3), np.uint8), "Status: Inactive", None

    t0 = time.perf_counter()

    processed, indic, _ = detector.process_frame(frame)
    level    = indic.get("drowsiness_level", "Awake")
    lighting = indic.get("lighting", "Good")
    score    = indic.get("details", {}).get("Score", 0.0)

    dt_ms = (time.perf_counter() - t0) * 1000.0
    logging.info(f"{dt_ms:6.1f} ms │ {lighting:<4} │ {level:<14} │ score={score:.2f}")

    status_txt = (
        f"Lighting: {lighting}\n"
        + ("Detection paused – low light." if lighting == "Low"
           else f"Status: {level}\nScore: {score:.2f}")
    )

    # decide whether to play the alert
    audio_out = None
    if (
        ALERT_DATA is not None
        and level != "Awake"
        and lighting != "Low"
        and (time.time() - _last_alert_ts) > ALERT_COOLDOWN
    ):
        _last_alert_ts = time.time()
        audio_out = (ALERT_SR, ALERT_DATA.copy())     # hand a fresh copy to Gradio

    return processed, status_txt, audio_out

# ───────────────────────────── UI
with gr.Blocks(title="Drive Paddy – Drowsiness Detection") as app:
    gr.Markdown("# 🚗 **Drive Paddy** – Static-file Alert Demo")
    gr.Markdown("Webcam-based drowsiness detection · console shows real-time logs.")

    with gr.Row():
        with gr.Column(scale=2):
            cam = gr.Image(sources=["webcam"], streaming=True, label="Live Camera Feed")
        with gr.Column(scale=1):
            out_img  = gr.Image(label="Processed Feed")
            out_text = gr.Textbox(label="Live Status", lines=3, interactive=False)
            out_audio = gr.Audio(
                label="Alert",
                autoplay=True,
                type="numpy",        # expects (sr, np.ndarray)
                visible=True,
            )

    cam.stream(fn=process_live_frame,
               inputs=cam,
               outputs=[out_img, out_text, out_audio])

if __name__ == "__main__":
    logging.info("Launching Gradio app …")
    app.launch(debug=True)