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cef63ff
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Create app.py

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  1. app.py +17 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+
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+ pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/wav2vec2-large-xlsr-53-english")
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+
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+ pipe2 = pipeline("summarization", model="facebook/bart-large-cnn")
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+
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+ def launch(input):
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+ out = pipe(input)
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+ out2 = pipe2(input)
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+ return out[0]['audio']
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+
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+ iface = gr.Interface(launch,
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+ inputs=gr.Image(type='pil'),
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+ outputs="text")
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+
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+ iface.launch()