reach-vb HF staff commited on
Commit
17f14b2
1 Parent(s): 4ecd171

Update app.py (#3)

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- Update app.py (344b523c008566b0a00997d0b98d4dfde07ee6b0)

Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -9,7 +9,7 @@ from transformers.pipelines.audio_utils import ffmpeg_read
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  import tempfile
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  import os
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- MODEL_NAME = "ylacombe/tmp_whs"
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  BATCH_SIZE = 8
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  FILE_LIMIT_MB = 1000
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  YT_LENGTH_LIMIT_S = 3600 # limit to 1 hour YouTube files
@@ -99,7 +99,7 @@ mf_transcribe = gr.Interface(
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  gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
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  ],
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  outputs="text",
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- title="Whisper Large V3: Transcribe Audio",
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  description=(
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  "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
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  f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
 
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  import tempfile
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  import os
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+ MODEL_NAME = "ylacombe/whisper-large-v3-turbo"
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  BATCH_SIZE = 8
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  FILE_LIMIT_MB = 1000
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  YT_LENGTH_LIMIT_S = 3600 # limit to 1 hour YouTube files
 
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  gr.Radio(["transcribe", "translate"], label="Task", value="transcribe"),
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  ],
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  outputs="text",
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+ title="Whisper Large V3 Turbo: Transcribe Audio",
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  description=(
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  "Transcribe long-form microphone or audio inputs with the click of a button! Demo uses the"
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  f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"