app.py

from transformers import pipeline
import gradio as gr

model = pipeline("automatic-speech-recognition")

def transcribe_audio(mic=None, file=None):
  if mic is not None:
    audio = mic
  elif file is not None:
    audio = file
  else:
    return("You must either provide a mic recording or a file")
  transcription = model(audio)["text"]
  return transcription

gr.Interface(
  fn=transcribe_audio,
  inputs=[gr.Audio(source="microphone", type="filepath", optional=True),
          gr.Audio(source ="upload", type="filepath", optional=True)],
  outputs="text",
  css=".footer{display:none !important}"
).launch()