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Update app.py (#2)
Browse files- Update app.py (7d9c01d724a370a36baea1f3c376ad18a5eba39a)
Co-authored-by: Zineb Senane <ZinebSN@users.noreply.huggingface.co>
app.py
CHANGED
@@ -3,13 +3,16 @@ import gradio as gr
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pipe = pipeline(model="Yilin98/whisper-small-hi") # change to "your-username/the-name-you-picked"
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def transcribe(audio=None, file=None):
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if (audio is None) and (file is None):
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return "No audio provided!"
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elif audio is not None:
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input=audio
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elif file is not None:
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input=file
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text = pipe(input)["text"]
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return text
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@@ -17,7 +20,8 @@ iface = gr.Interface(
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fn=transcribe,
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inputs=[
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gr.Audio(source="microphone", type="filepath", interactive=True),
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gr.Audio(source="upload", type="filepath", interactive=True)
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outputs="text",
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title="Whisper Small Swedish",
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description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
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pipe = pipeline(model="Yilin98/whisper-small-hi") # change to "your-username/the-name-you-picked"
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def transcribe(audio=None, file=None, youtube=None):
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if (audio is None) and (file is None) and (youtube is None):
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return "No audio provided!"
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elif audio is not None:
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input=audio
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elif file is not None:
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input=file
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elif youtube is not None:
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yt=pt.YouTube("https://www.youtube.com/watch?v=4KI9BBW_aP8")
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input=yt.streams.filter(only_audio=True)[0]
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text = pipe(input)["text"]
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return text
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fn=transcribe,
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inputs=[
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gr.Audio(source="microphone", type="filepath", interactive=True),
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gr.Audio(source="upload", type="filepath", interactive=True),
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gr.Text(label="URL (YouTube, etc.)")],
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outputs="text",
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title="Whisper Small Swedish",
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description="Realtime demo for Swedish speech recognition using a fine-tuned Whisper small model.",
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