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Parent(s): 6f9b78a
Delete app.py
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app.py
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# Let's get pipelines from transformers
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from transformers import pipeline
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# Let's import Gradio
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import gradio as gr
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# Let's set up the model
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model = pipeline("automatic-speech-recognition", model="moraxgiga/audio_test")
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title = "Audio2Text"
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description = "Record your audio in English and send it in order to received a transcription"
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# Function
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def transcribe(audio):
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# Let's invoke "model" defined above
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text = model(audio)["text"]
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return text
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# Interface Set-Up
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'''gr.Interface(
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fn=transcribe,
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inputs=[gr.Audio(source="microphone", type="filepath")],
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title="Audio-to-text",
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description="kat enterprises llc demo text-to-speech model",
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outputs=["textbox"]
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).launch()
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'''
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demo = gr.Interface(fn=transcribe ,
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inputs=[gr.Audio(source="microphone", type="filepath")],
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outputs=[gr.Textbox(label="Result", lines=3)],
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title="Audio-to-text",
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description="kat enterprises llc demo text-to-speech model"
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)
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demo.launch()
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