Commit ·
20a7298
1
Parent(s): 3fc00f2
ejemplo con ajuste 2
Browse files
app.py
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fn=transcribe,
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inputs=gr.Audio(type="filepath"),
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outputs=["textbox"]
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from transformers import pipeline
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import gradio as gr
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modelo = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-large-xlsr-53-spanish")
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def transcribe(audio):
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text = modelo(audio)["text"]
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return text
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gr.Interface(
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fn=transcribe,
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inputs=gr.Audio(type="filepath"),
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outputs=["textbox"]
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