model-metadata/code_python_files

1# /// script2# requires-python = ">=3.12"3# dependencies = [4#     "numpy",5#     "einops",6#     "pandas",7#     "protobuf",8#     "torch",9#     "torchvision",10#     "transformers",11#     "timm",12#     "diffusers",13#     "sentence-transformers",14#     "accelerate",15#     "peft",16#     "slack-sdk",17# ]18# ///19 20try:21    # Use a pipeline as a high-level helper22    from transformers import pipeline23    24    pipe = pipeline("text-to-speech", model="nineninesix/kani-tts-400m-en")25    with open('nineninesix_kani-tts-400m-en_0.txt', 'w', encoding='utf-8') as f:26        f.write('Everything was good in nineninesix_kani-tts-400m-en_0.txt')27except Exception as e:28    import os29    from slack_sdk import WebClient30    client = WebClient(token=os.environ['SLACK_TOKEN'])31    client.chat_postMessage(32        channel='#hub-model-metadata-snippets-sprint',33        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/nineninesix_kani-tts-400m-en_0.txt|nineninesix_kani-tts-400m-en_0.txt>',34    )35 36    with open('nineninesix_kani-tts-400m-en_0.txt', 'a', encoding='utf-8') as f:37        import traceback38        f.write('''```CODE: 39# Use a pipeline as a high-level helper40from transformers import pipeline41 42pipe = pipeline("text-to-speech", model="nineninesix/kani-tts-400m-en")43```44 45ERROR: 46''')47        traceback.print_exc(file=f)48    49finally:50    from huggingface_hub import upload_file51    upload_file(52        path_or_fileobj='nineninesix_kani-tts-400m-en_0.txt',53        repo_id='model-metadata/code_execution_files',54        path_in_repo='nineninesix_kani-tts-400m-en_0.txt',55        repo_type='dataset',56    )57