model-metadata/code_python_files
013k
1# /// script2# requires-python = ">=3.12"3# dependencies = [4# "numpy",5# "einops",6# "pandas",7# "matplotlib",8# "protobuf",9# "torch",10# "sentencepiece",11# "torchvision",12# "transformers",13# "timm",14# "diffusers",15# "sentence-transformers",16# "accelerate",17# "peft",18# "slack-sdk",19# ]20# ///21 22try:23 from pyannote.audio import Model, Inference24 25 model = Model.from_pretrained("pyannote/segmentation-3.0")26 inference = Inference(model)27 28 # inference on the whole file29 inference("file.wav")30 31 # inference on an excerpt32 from pyannote.core import Segment33 excerpt = Segment(start=2.0, end=5.0)34 inference.crop("file.wav", excerpt)35 with open('pyannote_segmentation-3.0_1.txt', 'w', encoding='utf-8') as f:36 f.write('Everything was good in pyannote_segmentation-3.0_1.txt')37except Exception as e:38 import os39 from slack_sdk import WebClient40 client = WebClient(token=os.environ['SLACK_TOKEN'])41 client.chat_postMessage(42 channel='#hub-model-metadata-snippets-sprint',43 text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/pyannote_segmentation-3.0_1.txt|pyannote_segmentation-3.0_1.txt>',44 )45 46 with open('pyannote_segmentation-3.0_1.txt', 'a', encoding='utf-8') as f:47 import traceback48 f.write('''```CODE: 49from pyannote.audio import Model, Inference50 51model = Model.from_pretrained("pyannote/segmentation-3.0")52inference = Inference(model)53 54# inference on the whole file55inference("file.wav")56 57# inference on an excerpt58from pyannote.core import Segment59excerpt = Segment(start=2.0, end=5.0)60inference.crop("file.wav", excerpt)61```62 63ERROR: 64''')65 traceback.print_exc(file=f)66 67finally:68 from huggingface_hub import upload_file69 upload_file(70 path_or_fileobj='pyannote_segmentation-3.0_1.txt',71 repo_id='model-metadata/code_execution_files',72 path_in_repo='pyannote_segmentation-3.0_1.txt',73 repo_type='dataset',74 )75 