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Running on Zero
Running on Zero
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https://huggingface.co/spaces/FanLR/GroundingPI/resolve/main/space_app.py
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hf download hf://spaces/FanLR/GroundingPI/space_app.py
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curl -L -o space_app.py https://huggingface.co/spaces/FanLR/GroundingPI/resolve/main/space_app.py
1.31 kB
| """Chinese GroundingPI Studio with a pinned public checkpoint.""" | |
| import os | |
| from grounding_demo.client import zerogpu_configured | |
| from grounding_demo.model_spec import MODEL_REPO, MODEL_REVISION, MODEL_NAME | |
| os.environ.setdefault("GROUNDING_BACKEND", "zerogpu") | |
| if not os.getenv("GROUNDING_MODEL_PATH"): | |
| # This release deliberately replaces the older Space's model variables. | |
| os.environ["GROUNDING_MODEL_REPO"] = MODEL_REPO | |
| os.environ["GROUNDING_MODEL_REVISION"] = MODEL_REVISION | |
| os.environ["GROUNDING_MODEL"] = MODEL_NAME | |
| os.environ["GROUNDING_BACKEND"] = os.environ["GROUNDING_BACKEND"].strip().lower() | |
| os.environ.setdefault("GRADIO_ANALYTICS_ENABLED", "False") | |
| if os.environ["GROUNDING_BACKEND"] == "zerogpu" and zerogpu_configured(): | |
| from grounding_demo import zerogpu_backend # noqa: F401 - install hooks and load model | |
| # Unconfigured CPU preview needs no spaces/torch import. Configured serving still | |
| # places the model at startup, before Gradio, never lazily inside a GPU request. | |
| from app import demo | |
| if __name__ == "__main__": | |
| demo.queue(default_concurrency_limit=1, max_size=8).launch( | |
| server_name="0.0.0.0", server_port=int(os.getenv("DEMO_PORT", "7860")), | |
| root_path=os.getenv("DEMO_ROOT_PATH") or None, | |
| max_file_size="30mb", show_error=True, | |
| ) | |