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Parent(s):
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Create app2.py
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app2.py
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from transformers import pipeline
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import numpy as np
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import gradio as gr
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pipe = pipeline(
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"automatic-speech-recognition", model="openai/whisper-base"
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)
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def transcribe(stream, nuevo_fragmento):
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sr, y = nuevo_fragmento
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y = y.astype(np.float32)
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y /= np.max(np.abs(y))
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if stream is not None:
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stream = np.concatenate([stream, y])
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else:
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stream = y
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return stream, pipe({"sampling_rate": sr, "raw": stream})["text"]
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demo = gr.Interface(
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transcribe,
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["state", gr.Audio(sources=["microphone"], streaming=True)],
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["state", "text"],
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live=True,
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)
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demo.launch()
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