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NadiaHolmlund
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17b5456
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Parent(s):
6ba19c4
Create app.py
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app.py
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from transformers import pipeline
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import gradio as gr
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pipe = pipeline(model="NadiaHolmlund/Japanese_Fine_Tuned_Whisper_Model")
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def transcribe(audio):
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text = pipe(audio)["text"]
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return text
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iface = gr.Interface(
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fn=transcribe,
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inputs=gr.Audio(source="microphone", type="filepath"),
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outputs="text",
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title="Tiny Whisper Model Fine-Tuned on Japanese",
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description="Real-time demo for Japanese speech recognition. Using a fine-tuned tiny Whisper model, trained on the Common Voice dataset.",
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)
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iface.launch()
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