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Upload app.py
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app.py
CHANGED
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@@ -20,6 +20,8 @@ translator = pipeline(
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"translation",
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model="Helsinki-NLP/opus-mt-it-en")
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def transcribe(microphone, file_upload):
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warn_output = ""
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if (microphone is not None) and (file_upload is not None):
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@@ -91,13 +93,14 @@ yt_transcribe = gr.Interface(
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outputs=["html", "text", "text", "text"],
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layout="horizontal",
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theme="huggingface",
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title="Whisper Demo: Transcribe YouTube",
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description=(
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"Transcribe, Summarize and Translate long-form YouTube videos with the click of a button! Demo uses the the fine-tuned "
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f" [whispy/whisper_hf](https://huggingface.co/whispy/whisper_hf) and 🤗 Transformers to transcribe audio files of"
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" arbitrary length. It also uses other two models to first summarize and then translate the text input"
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),
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allow_flagging="never",
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)
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with demo:
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"translation",
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model="Helsinki-NLP/opus-mt-it-en")
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inputs_url =
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+
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def transcribe(microphone, file_upload):
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warn_output = ""
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if (microphone is not None) and (file_upload is not None):
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outputs=["html", "text", "text", "text"],
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layout="horizontal",
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theme="huggingface",
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title="Whisper Demo: Transcribe, Summarize and Translate YouTube",
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description=(
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"Transcribe, Summarize and Translate long-form YouTube videos with the click of a button! Demo uses the the fine-tuned "
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f" [whispy/whisper_hf](https://huggingface.co/whispy/whisper_hf) and 🤗 Transformers to transcribe audio files of"
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" arbitrary length. It also uses other two models to first summarize and then translate the text input"
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),
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allow_flagging="never",
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examples = gr.Examples(examples=["https://www.youtube.com/watch?v=xhWhyu8cBTk"],inputs=[inputs])
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)
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with demo:
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