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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 + " "
return state, state
demo = gr.Interface(
fn=transcribe,
inputs=[
gr.Audio(sources=["microphone"], type="filepath", streaming=True),
"state"
],
outputs=[
"textbox",
"state"
],
live=True
)
if __name__ == "__main__":
demo.launch()
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