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	| import os | |
| import gradio as gr | |
| api_key = os.getenv("HF_TOKEN") | |
| def start_training(): | |
| os.system("python quickstart.py --model_name_or_path Qwen/Qwen3-0.6B --train_data_dir trl-lib/Capybara --api_key HF_TOKEN" ) | |
| return "Evaluation completed!" | |
| iface = gr.Interface( | |
| fn=start_training, | |
| inputs=[], | |
| outputs="text", | |
| live=True, | |
| allow_flagging='never' | |
| ) | |
| iface.launch() |