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Create app.py
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app.py
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import gradio as gr
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import librosa
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from asr import transcribe, ASR_EXAMPLES, ASR_NOTE
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# Define only English and Swahili languages
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ASR_LANGUAGES = {
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"eng": "English",
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"swh": "Swahili",
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}
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# Speech-to-Text Interface
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mms_transcribe = gr.Interface(
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fn=transcribe,
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inputs=[
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gr.Audio(),
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gr.Dropdown(
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[f"{k} ({v})" for k, v in ASR_LANGUAGES.items()],
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label="Language",
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value="eng English",
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),
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],
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outputs="text",
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examples=ASR_EXAMPLES,
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title="Speech-to-Text",
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description="Transcribe audio in either English or Swahili.",
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article=ASR_NOTE,
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allow_flagging="never",
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)
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# Main Gradio App
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with gr.Blocks() as demo:
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gr.Markdown("<p align='center' style='font-size: 20px;'>MMS Speech-to-Text</p>")
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gr.HTML("<center>Convert speech to text in English and Swahili.</center>")
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mms_transcribe.render()
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if __name__ == "__main__":
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demo.queue()
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demo.launch()
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