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import gradio as gr |
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from transformers import pipeline |
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s2t=gr.Interface.load('huggingface/facebook/s2t-medium-librispeech-asr') |
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grammar = gr.Interface.load('huggingface/prithivida/grammar_error_correcter_v1') |
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def out(audio1,audio2): |
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if (audio1==None) and (audio2==None): |
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return "no audio","no audio" |
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elif audio2==None: |
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x=s2t(audio1) |
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return s2t(audio1), grammar(x) |
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else: |
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x=s2t(audio2) |
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return s2t(audio2), grammar(x) |
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iface = gr.Interface( |
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fn=out, |
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inputs=[gr.inputs.Audio(source="upload", type="filepath", label=None, optional=True), |
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gr.inputs.Audio(source="microphone", type="filepath", label=None, optional=True)], |
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outputs=['text','text'] |
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) |
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iface.launch(debug=True) |
