import os import sys import subprocess import time MODEL_REPO = "tencent/HunyuanVideo-Avatar" BASE_DIR = os.getcwd() # current working directory, absolute path WEIGHTS_DIR = os.path.join(BASE_DIR, "weights") # This path assumes the checkpoint is inside weights/transformers/... CHECKPOINT_FILE = os.path.join(WEIGHTS_DIR, "transformers", "mp_rank_00_model_states.pt") def download_model(): print("⬇️ Model not found. Downloading with huggingface-cli inside weights directory...") os.makedirs(WEIGHTS_DIR, exist_ok=True) # Use --local-dir as absolute path (important!) cmd = [ "huggingface-cli", "download", MODEL_REPO, "--local-dir", WEIGHTS_DIR ] proc = subprocess.run(cmd) if proc.returncode != 0: print("❌ huggingface-cli download failed.") sys.exit(1) 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 a bit for flask_audio.py to start gradio_proc = run_gradio_ui() if __name__ == "__main__": main()