# /// script # requires-python = ">=3.12" # dependencies = [ # "torch", # "torchvision", # "transformers", # "accelerate", # "peft", # "slack-sdk", # ] # /// try: import os from openai import OpenAI client = OpenAI( base_url="https://router.huggingface.co/v1", api_key=os.environ["HF_TOKEN"], ) completion = client.chat.completions.create( model="Qwen/Qwen3-Coder-30B-A3B-Instruct", messages=[ { "role": "user", "content": "What is the capital of France?" } ], ) print(completion.choices[0].message) with open('Qwen_Qwen3-Coder-30B-A3B-Instruct_3.txt', 'w', encoding='utf-8') as f: f.write('Everything was good in Qwen_Qwen3-Coder-30B-A3B-Instruct_3.txt') except Exception as e: import os from slack_sdk import WebClient client = WebClient(token=os.environ['SLACK_TOKEN']) client.chat_postMessage( channel='#exp-slack-alerts', text='Problem in ', ) with open('Qwen_Qwen3-Coder-30B-A3B-Instruct_3.txt', 'a', encoding='utf-8') as f: import traceback f.write('''```CODE: import os from openai import OpenAI client = OpenAI( base_url="https://router.huggingface.co/v1", api_key=os.environ["HF_TOKEN"], ) completion = client.chat.completions.create( model="Qwen/Qwen3-Coder-30B-A3B-Instruct", messages=[ { "role": "user", "content": "What is the capital of France?" } ], ) print(completion.choices[0].message) ``` ERROR: ''') traceback.print_exc(file=f) finally: from huggingface_hub import upload_file upload_file( path_or_fileobj='Qwen_Qwen3-Coder-30B-A3B-Instruct_3.txt', repo_id='model-metadata/code_execution_files', path_in_repo='Qwen_Qwen3-Coder-30B-A3B-Instruct_3.txt', repo_type='dataset', )