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kavyamanohar
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97d5aeb
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Parent(s):
d5e19db
Add Description
Browse files
app.py
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import gradio as gr
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demo = gr.load(
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demo.launch()
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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(model = MODEL_NAME,
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examples = [["./sample1.wav", "transcribe", False],
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],
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description=("Transcribe microphone or audio inputs with the click of a button! 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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demo.launch()
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