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File size: 565 Bytes
e028c57 8835e4e 18aebcc e028c57 488a3ea e028c57 488a3ea e028c57 49e0ed3 e028c57 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | from transformers import pipeline
import gradio as gr
import time
p = pipeline("automatic-speech-recognition")
def transcribe(audio, state=""):
time.sleep(2)
text = p(audio)["text"] # type: ignore
state += text + " " # type: ignore
return state, state
demo = gr.Interface(
fn=transcribe,
inputs=[
gr.Audio(sources=["microphone"], type="filepath", streaming=True),
"state"
],
outputs=[
"textbox",
"state"
],
live=True,
api_name="predict"
)
if __name__ == "__main__":
demo.launch()
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