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Update app.py
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app.py
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import os
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import shutil
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import sys
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from pathlib import Path
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from huggingface_hub import snapshot_download
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# ---------------------------------------------------------------------------
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# Optional: pull checkpoints and auxiliary assets at startup. Set the
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# HF_GESTURELSM_WEIGHTS_REPO environment variable in the Space settings to the
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# dataset or model repo that hosts the pre-trained weights (e.g. "username/gesturelsm-assets").
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# Files will be placed under ckpt/ so the existing config paths keep working.
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# ---------------------------------------------------------------------------
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BASE_DIR = Path(__file__).parent.resolve()
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ROOT_DIR = BASE_DIR.parent.resolve()
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# Ensure project root is on sys.path so intra-repo imports (e.g. `optimizers`) work.
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if str(ROOT_DIR) not in sys.path:
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sys.path.insert(0, str(ROOT_DIR))
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# Quick sanity check in Space logs to confirm the repo root is visible at runtime.
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print("[GestureLSM] sys.path:")
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for entry in sys.path:
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print(" ", entry)
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CKPT_DIR = BASE_DIR / "ckpt"
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CKPT_DIR.mkdir(parents=True, exist_ok=True)
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weights_repo = os.environ.get("HF_GESTURELSM_WEIGHTS_REPO", "").strip()
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if weights_repo:
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snapshot_download(
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repo_id=weights_repo,
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repo_type="dataset",
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local_dir=CKPT_DIR,
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local_dir_use_symlinks=False,
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allow_patterns=["*.pth", "*.bin", "*.npz", "*.npy"],
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)
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# Ensure expected runtime directories exist so the demo can write outputs.
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datasets_hub_dir = BASE_DIR / "datasets" / "hub"
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for relative in ["outputs/audio2pose", "datasets/BEAT_SMPL", "datasets/hub"]:
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(BASE_DIR / relative).mkdir(parents=True, exist_ok=True)
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smplx_dest = datasets_hub_dir / "smplx_models"
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smplx_dest.mkdir(parents=True, exist_ok=True)
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if not any(smplx_dest.iterdir()):
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smplx_sources = list(CKPT_DIR.glob("**/smplx_models"))
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if smplx_sources:
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smplx_source = smplx_sources[0]
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for item in smplx_source.iterdir():
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target = smplx_dest / item.name
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if item.is_dir():
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shutil.copytree(item, target, dirs_exist_ok=True)
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else:
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shutil.copy2(item, target)
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else:
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print("[GestureLSM] WARNING: smplx_models directory missing; ensure the weights repo contains it.")
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# Reuse the existing Gradio interface defined in demo.py.
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from demo import demo as gesture_demo # noqa: E402
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if __name__ == "__main__":
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gesture_demo.queue(concurrency_count=1).launch(server_name="0.0.0.0", share=False)
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