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from transformers import pipeline
import gradio as gr
import time
p = pipeline("automatic-speech-recognition", model="openai/whisper-base", generate_kwargs={"language": "|en|", "task": "transcribe"})
def transcribe(audio, state=""):
time.sleep(2)
text = p(audio)["text"]
state += text + " "
return state, state
gr.Interface(
fn=transcribe,
inputs=[
gr.inputs.Audio(source="microphone", type="filepath"),
"state"
],
outputs=[
"textbox",
"state"
],
live=True).launch() |