Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -22,7 +22,7 @@ sys.excepthook = _crash_trap
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# ============================================================
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import gradio as gr
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import
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from huggingface_hub import snapshot_download
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from loguru import logger
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import torch, torchaudio
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@@ -291,13 +291,19 @@ def preprocess_video(in_path: str) -> Tuple[str, float]:
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final_dur = min(dur, float(MAX_SECS))
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return str(processed), final_dur
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# ========= Inference (ZeroGPU) =========
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@
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@torch.inference_mode()
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def run_model(video_path: str, prompt_text: str,
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guidance_scale: float = 4.5,
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num_inference_steps: int = 50,
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sample_nums: int = 1)
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"""
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Native inference (no shell). Returns ([wav_paths], sample_rate).
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"""
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# ============================================================
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import gradio as gr
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from spaces import GPU # <-- explicit import so startup checker can see it
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from huggingface_hub import snapshot_download
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from loguru import logger
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import torch, torchaudio
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final_dur = min(dur, float(MAX_SECS))
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return str(processed), final_dur
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# ========= ZeroGPU marker (so startup checker is happy) =========
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@GPU(duration=5)
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def _zgpu_marker(_: int = 0) -> int:
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"""No-op; only to advertise that this Space has GPU-decorated functions."""
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return _
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# ========= Inference (ZeroGPU) =========
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@GPU(duration=ZEROGPU_DURATION)
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@torch.inference_mode()
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def run_model(video_path: str, prompt_text: str,
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guidance_scale: float = 4.5,
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num_inference_steps: int = 50,
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sample_nums: int = 1):
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"""
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Native inference (no shell). Returns ([wav_paths], sample_rate).
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"""
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