# Pyannotate pipeline() not working **URL:** \ **Category:** Intermediate\ **Created:** [January 6, 2025, 4:04pm UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508 "2025-01-06T16:04:01Z")\ **Posts on this page:** 7\ **Page:** 1
**Author:** ![shantanu2698](https://avatars.discourse-cdn.com/v4/letter/s/41988e/32.png) [@shantanu2698](https://discuss.huggingface.co/u/shantanu2698)\ **Post date:** [January 6, 2025, 4:04pm UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/1 "2025-01-06T16:04:01Z")
I am using pyannotate for speaker diarization on top of Whisper. However, even though I have provided the token credential, the code consistently gets stuck at the `pipeline()` call. This eventually leads to the Colab session disconnecting. The video in question is relatively short, only 11:46 minutes. I have attached the code for your reference. from pyannote.audio import Pipeline wav\_file=“download1.wav” # Load the pretrained diarization pipeline pipeline = Pipeline.from\_pretrained(“pyannote/speaker-diarization”, use\_auth\_token=“hf\_xxxxxxxxxxxxxxxxxxx” ) # Apply the pipeline to the audio fie diarization = pipeline(wav\_file) ######this is where code is getting stuck # Save the diarization output to a file with open(“diarization.txt”, “w”) as f: for turn, \_, speaker in diarization.itertracks(yield\_label=True): f.write(f"{turn.start:.2f} - {turn.end:.2f}: Speaker {speaker}\n") print(“Speaker diarization completed.”) ---
**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\ **Post date:** [January 6, 2025, 6:02pm UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/2 "2025-01-06T18:02:22Z")
I wonder if the Pyannotate settings are wrong… > [@Issue with Using pyannote/speaker-diarization Gated Model in Colab and API](https://discuss.huggingface.co/t/issue-with-using-pyannote-speaker-diarization-gated-model-in-colab-and-api/134386): > > Hi everyone, I’m currently working on my engineering thesis, which involves analyzing speaker diarization for Polish audio files. I’m trying to use the pyannote/speaker-diarization model to perform this task, but I’ve encountered several issues that I haven’t been able to resolve, even after trying various approaches. Here’s a summary of my problem: Access Granted but Model Not Running: I’ve been granted access to the gated model on Hugging Face. However, when I try to use the model through… ---
**Author:** ![shantanu2698](https://avatars.discourse-cdn.com/v4/letter/s/41988e/32.png) [@shantanu2698](https://discuss.huggingface.co/u/shantanu2698)\ **Post date:** [January 8, 2025, 10:20am UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/3 "2025-01-08T10:20:46Z")
I am still stuck at this point. Even though I have been granted model permission, it’s not running and keeps on getting stuck at pipeline(“download1.wav”). I have accepted the user conditions as well. I need urgent help ---
**Author:** ![shantanu2698](https://avatars.discourse-cdn.com/v4/letter/s/41988e/32.png) [@shantanu2698](https://discuss.huggingface.co/u/shantanu2698)\ **Post date:** [January 8, 2025, 10:21am UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/4 "2025-01-08T10:21:59Z")
Thanks for the reply @John6666 . But the issue remains the same, Even though I have followed all the steps mentioned on the shared post. ---
**Author:** ![John6666](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/john6666/32/27664_2.png) [@John6666](https://discuss.huggingface.co/u/John6666)\ **Post date:** [January 8, 2025, 12:51pm UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/5 "2025-01-08T12:51:15Z")
I thought it was possible that your GPU wasn’t being used. How about this? ```py # https://github.com/pyannote/pyannote-audio from pyannote.audio import Pipeline import torch hf_token = "hf_xxxxxxxxxxxxxxxxxxx" device = "cuda" if torch.cuda.is_available() else "cpu" wav_file="download1.wav" #Load the pretrained diarization pipeline pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization", use_auth_token=hf_token).to(device) # send pipeline to GPU (when available) # pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization", device_map="auto", use_auth_token=hf_token) # if your GPU is weak... ensure "pip install -U accelerate" before use it # Apply the pipeline to the audio fie diarization = pipeline(wav_file) ######this is where code is getting stuck #Save the diarization output to a file with open("diarization.txt", "w") as f: for turn, _, speaker in diarization.itertracks(yield_label=True): f.write(f"{turn.start:.2f} - {turn.end:.2f}: Speaker {speaker}\n") print("Speaker diarization completed.") ``` ---
**Author:** ![Navanit-AI](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/navanit-ai/32/30195_2.png) [@Navanit-AI](https://discuss.huggingface.co/u/Navanit-AI)\ **Post date:** [January 9, 2025, 8:50am UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/6 "2025-01-09T08:50:56Z")
The pyannote doesn’t ever starts with 0 is there any reason ? ---
**Author:** ![Alanturner2](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/alanturner2/32/37542_2.png) [@Alanturner2](https://discuss.huggingface.co/u/Alanturner2)\ **Post date:** [January 9, 2025, 8:58am UTC](https://discuss.huggingface.co/t/pyannotate-pipeline-not-working/134508/7 "2025-01-09T08:58:29Z")
**It looks like your `pipeline()` call is hanging. Here are a few things to check:** 1. **Check Token** : Make sure your Hugging Face token is valid and has the right permissions. 2. **Audio File** : Double-check that the audio file path (`download1.wav`) is correct and accessible. Try with a smaller file to see if that helps. 3. **Colab Resources** : Colab has limited resources. You can check the GPU memory usage with: ```bash !nvidia-smi ``` If it’s too high, Colab might disconnect. 4. **Debugging** : Add print statements to check where the code is stopping: ```python print("Loading model...") pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization", use_auth_token="hf_xxxxxxxxxxxxxxxxxxx") print("Model loaded, applying pipeline...") diarization = pipeline(wav_file) print("Diarization completed.") ``` 5. **Run Locally** : If it still doesn’t work, try running the code locally or on a different platform (AWS, GCP). If these steps don’t help, you might want to try a different diarization library like `SpeechBrain` or `pyAudioAnalysis`. Good luck!