jawadrashid commited on
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c03c9d3
1 Parent(s): 5c14dcf

Create app.py

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  1. app.py +21 -0
app.py ADDED
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+ import gradio as gr
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+ from transformers import pipeline
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+ import numpy as np
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+
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+ transcriber = pipeline("automatic-speech-recognition", model="openai/whisper-base.en")
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+
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+ def transcribe(audio):
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+ sr, y = audio
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+ y = y.astype(np.float32)
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+ y /= np.max(np.abs(y))
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+
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+ return transcriber({"sampling_rate": sr, "raw": y})["text"]
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+
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+
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+ demo = gr.Interface(
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+ transcribe,
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+ gr.Audio(sources=["microphone"]),
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+ "text",
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+ )
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+
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+ demo.launch()