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b353f68
Update app.py (#4)
Browse files- Update app.py (e33d283da797895c07d398fa972efd701112db12)
app.py
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@@ -3,7 +3,7 @@ import torch
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import gradio as gr
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import pytube as pt
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from transformers import pipeline
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-
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MODEL_NAME = "openai/whisper-small"
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@@ -16,6 +16,9 @@ pipe = pipeline(
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device=device,
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)
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def transcribe(microphone, file_upload):
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warn_output = ""
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@@ -72,6 +75,7 @@ mf_transcribe = gr.Interface(
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f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
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" of arbitrary length."
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),
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allow_flagging="never",
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)
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@@ -87,6 +91,7 @@ yt_transcribe = gr.Interface(
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f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
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" arbitrary length."
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),
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allow_flagging="never",
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)
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import gradio as gr
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import pytube as pt
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from transformers import pipeline
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from huggingface_hub import model_info
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MODEL_NAME = "openai/whisper-small"
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device=device,
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)
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langs = model_info(MODEL_NAME).cardData["language"]
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article = f"<details><summary>This model supports {len(langs)} languages! (Click to expand)</summary>> {langs}</details>"
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def transcribe(microphone, file_upload):
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warn_output = ""
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f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"
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" of arbitrary length."
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),
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article=article,
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allow_flagging="never",
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)
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f" [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files of"
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" arbitrary length."
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),
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article=article,
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allow_flagging="never",
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)
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