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Download app.py from aiqtech/SoulX-Singer: direct link, hf CLI and curl.
- Browser
- Download file 735 Bytes
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https://huggingface.co/spaces/aiqtech/SoulX-Singer/resolve/5907c416b9cec16dfe593bd90e8d41f1a2de3645/app.py
- Command line
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hf download hf://spaces/aiqtech/SoulX-Singer@5907c416b9cec16dfe593bd90e8d41f1a2de3645/app.py
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curl -L -o app.py https://huggingface.co/spaces/aiqtech/SoulX-Singer/resolve/5907c416b9cec16dfe593bd90e8d41f1a2de3645/app.py
735 Bytes
| """ | |
| Hugging Face Space entry point for SoulX-Singer. | |
| Downloads pretrained models from the Hub if needed, then launches the Gradio app. | |
| """ | |
| import os | |
| from pathlib import Path | |
| # Set matplotlib backend before any imports that might use it (required for headless environments) | |
| import matplotlib | |
| matplotlib.use('Agg') # Use non-interactive backend | |
| from ensure_models import ensure_pretrained_models | |
| ROOT = Path(__file__).resolve().parent | |
| if __name__ == "__main__": | |
| os.chdir(ROOT) | |
| ensure_pretrained_models() | |
| from webui import render_interface | |
| page = render_interface() | |
| page.queue() | |
| page.launch( | |
| server_name="0.0.0.0", | |
| server_port=int(os.environ.get("PORT", "7860")), | |
| share=True, | |
| ) | |