Buckets:
| """ | |
| Movimento: Text-driven multi-character motion generation with Qwen LLM planning and Kimodo synthesis. | |
| Launches the Kimodo demo application with proper environment configuration for HuggingFace Spaces. | |
| """ | |
| import os | |
| import sys | |
| # Configure environment for HF Spaces | |
| os.environ.setdefault("HF_MODE", "1") | |
| os.environ.setdefault("SERVER_NAME", "0.0.0.0") | |
| os.environ.setdefault("SERVER_PORT", "7860") | |
| os.environ.setdefault("MAX_ACTIVE_USERS", "5") | |
| os.environ.setdefault("MAX_SESSION_MINUTES", "5.0") | |
| # Launch the Kimodo demo application | |
| if __name__ == "__main__": | |
| from kimodo.demo.app import main | |
| main() | |
| import gradio as gr | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| demo = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| demo.launch() | |
Xet Storage Details
- Size:
- 761 Bytes
- Xet hash:
- 831eb81361bb7126333cedd8a5a290e98c6224fa08b50810e4fbbd68d24fbfca
·
Xet efficiently stores files, intelligently splitting them into unique chunks and accelerating uploads and downloads. More info.