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app.py
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import gradio as gr
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MODEL_NAME = "leenag/Mal_ASR_Whisper_small_imasc_1000"
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demo = gr.load(
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examples = [["./sample1.wav", "transcribe", False],
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],
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),
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import gradio as gr
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MODEL_NAME = "leenag/Mal_ASR_Whisper_small_imasc_1000"
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demo = gr.load(name = MODEL_NAME,
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examples = [["./sample1.wav", "transcribe", False],
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],
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title = "VRCLC Malayalam Speech Recognition Demo",
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description=("Transcribe microphone or audio inputs with the click of a button!
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This demo uses the "f" checkpoint [{MODEL_NAME}](https://huggingface.co/{MODEL_NAME}) and 🤗 Transformers to transcribe audio files"" of arbitrary length."
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),
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)
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