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import gradio as gr |
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import whisper |
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def convert_to_text(audio_path : str) -> str: |
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model = whisper.load_model("base") |
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result = model.transcribe(audio_path) |
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return result["text"] |
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audio_input = gr.components.Audio(type="filepath") |
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iface = gr.Interface(fn=convert_to_text, inputs=audio_input, outputs="text",title="AUDIO -TEXTO", |
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description="Subir el Audio y Presionar el botón 'SUBMIT'\ |
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", |
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theme = gr.themes.Soft(), |
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css='div {margin-left: auto; margin-right: auto; width: 100%;\ |
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background-image: url("https://drive.google.com/file/d/163uypH4ktgCRoa3ZCWcBrQt_qtz1rcPN/view?usp=drive_link"); repeat 0 0;}')) |
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iface.launch() |
