app.py

import os
import sys
import subprocess
import time

MODEL_REPO = "tencent/HunyuanVideo-Avatar"
BASE_DIR = "HunyuanVideo-Avatar"
WEIGHTS_DIR = os.path.join(BASE_DIR, "weights")
CHECKPOINT_FILE = os.path.join(WEIGHTS_DIR, "transformers/mp_rank_00_model_states.pt")  # Adjust if needed

def download_model():
    print("⬇️  Model not found. Downloading with huggingface-cli inside HunyuanVideo-Avatar/weights...")
    os.makedirs(WEIGHTS_DIR, exist_ok=True)
    
    # Run huggingface-cli download inside WEIGHTS_DIR
    cmd = ["huggingface-cli", "download", MODEL_REPO, "--local-dir", "./"]
    proc = subprocess.run(cmd, cwd=WEIGHTS_DIR)
    if proc.returncode != 0:
        print("❌ huggingface-cli download failed.")
        sys.exit(1)
    
    # Check if checkpoint file exists now
    if not os.path.isfile(CHECKPOINT_FILE):
        print(f"❌ Checkpoint file not found at {CHECKPOINT_FILE} after download.")
        sys.exit(1)
    print("✅ Model downloaded successfully.")

def run_flask_audio():
    print("🚀 Starting flask_audio.py...")
    cmd = [
        "torchrun",
        "--nnodes=1",
        "--nproc_per_node=8",
        "--master_port=29605",
        "hymm_gradio/flask_audio.py",
        "--input", "assets/test.csv",
        "--ckpt", CHECKPOINT_FILE,
        "--sample-n-frames", "129",
        "--seed", "128",
        "--image-size", "704",
        "--cfg-scale", "7.5",
        "--infer-steps", "50",
        "--use-deepcache", "1",
        "--flow-shift-eval-video", "5.0"
    ]
    proc = subprocess.Popen(cmd)
    return proc

def run_gradio_ui():
    print("🟢 Starting gradio_audio.py UI...")
    cmd = ["python3", "hymm_gradio/gradio_audio.py"]
    proc = subprocess.Popen(cmd)
    return proc

def main():
    if os.path.isfile(CHECKPOINT_FILE):
        print("✅ Model checkpoint already exists. Skipping download.")
    else:
        download_model()

    flask_proc = run_flask_audio()
    time.sleep(5)  # Wait for flask_audio.py to spin up
    gradio_proc = run_gradio_ui()

if __name__ == "__main__":
    main()