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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
28 lines
526 B
Python
28 lines
526 B
Python
from transformers import pipeline
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import gradio as gr
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import time
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p = pipeline("automatic-speech-recognition")
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def transcribe(audio, state=""):
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time.sleep(2)
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text = p(audio)["text"] # type: ignore
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state += text + " "
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return state, state
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demo = gr.Interface(
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fn=transcribe,
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inputs=[
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gr.Audio(sources=["microphone"], type="filepath", streaming=True),
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"state"
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],
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outputs=[
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"textbox",
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"state"
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],
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live=True
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)
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if __name__ == "__main__":
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demo.launch()
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