sanchit-gandhi HF staff commited on
Commit
95736ea
1 Parent(s): c60d983

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -5,7 +5,7 @@ import gradio as gr
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  import pytube as pt
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  from speechbox import ASRDiarizationPipeline
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- MODEL_NAME = "openai/whisper-small"
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  device = 0 if torch.cuda.is_available() else "cpu"
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  HF_TOKEN = os.environ.get("HF_TOKEN")
@@ -67,7 +67,7 @@ mf_transcribe = gr.Interface(
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  title="Whisper Speaker Diarization: Transcribe Audio",
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  description=(
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  "Transcribe audio files with speaker diarization using [🤗 Speechbox](https://github.com/huggingface/speechbox/). "
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- "Demo uses the pre-trained checkpoint [Whisper Small](https://huggingface.co/openai/whisper-small) for the ASR "
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  "transcriptions and [pyannote.audio](https://huggingface.co/pyannote/speaker-diarization) to label the speakers."
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  "\n\n"
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  "Check out the repo here: https://github.com/huggingface/speechbox/"
 
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  import pytube as pt
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  from speechbox import ASRDiarizationPipeline
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+ MODEL_NAME = "openai/whisper-small.en"
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  device = 0 if torch.cuda.is_available() else "cpu"
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  HF_TOKEN = os.environ.get("HF_TOKEN")
 
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  title="Whisper Speaker Diarization: Transcribe Audio",
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  description=(
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  "Transcribe audio files with speaker diarization using [🤗 Speechbox](https://github.com/huggingface/speechbox/). "
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+ "Demo uses the pre-trained checkpoint [Whisper Small.en](https://huggingface.co/openai/whisper-small.en) for the ASR "
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  "transcriptions and [pyannote.audio](https://huggingface.co/pyannote/speaker-diarization) to label the speakers."
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  "\n\n"
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  "Check out the repo here: https://github.com/huggingface/speechbox/"