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e486aab
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72284ae
Whisper X implementation
Browse files- app.py +1 -1
- requirements.txt +1 -1
app.py
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@@ -106,7 +106,7 @@ transcribeII = gr.Interface(
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demo = gr.Blocks()
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with demo:
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gr.Markdown("#
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gr.TabbedInterface([transcribeI, transcribeII], ["Transcripci贸n con Whisper", "Transcripci贸n y diarizaci贸n con WhisperX"])
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#demo.queue(concurrency_count=1).launch(enable_queue=True, auth=(os.environ['USER'], os.environ['PASSWORD']))
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demo = gr.Blocks()
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with demo:
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gr.Markdown("# Amanuensis. Transcripci贸n de audios basada en OpenAI Whisper.")
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gr.TabbedInterface([transcribeI, transcribeII], ["Transcripci贸n con Whisper", "Transcripci贸n y diarizaci贸n con WhisperX"])
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#demo.queue(concurrency_count=1).launch(enable_queue=True, auth=(os.environ['USER'], os.environ['PASSWORD']))
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requirements.txt
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@@ -3,7 +3,7 @@ torch
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yt-dlp
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openai
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pydub
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whisperx
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faster-whisper
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scikit-learn
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pandas
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yt-dlp
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openai
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pydub
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git+https://github.com/m-bain/whisperx.git
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faster-whisper
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scikit-learn
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pandas
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