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Update app.py
Browse filesApp.py updated to include the model and audio system
app.py
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import gradio as gr
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return "Hello " + name + "!!"
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import gradio as gr
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from transformers import pipeline
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pipe = pipeline("automatic-speech-recognition", model="cportoca/CS224S_Quechua_Project_Bilingual")
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def transcribe(audio):
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text = pipe(audio)["text"]
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return text
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interface = gr.Interface(
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fn=transcribe,
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inputs=gr.Audio(sources="microphone", type="filepath"),
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outputs="text",
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title="Quechua Speech Recognition Demo",
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description="Realtime demo for Yoruba speech recognition using a fine-tuned Wav2Vec-Bert model. NOTE: If you get an error after pressing submit, give the audio some secs to load then try again."
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)
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interface.launch()
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