app.py

import gradio as gr

from transformers import pipeline

p = pipeline(model="Distay/whisper-tiny")

def transcribe(audio):
    text = p(audio)["text"]
    return text

gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(source="microphone", type="filepath"), 
    outputs="text",live=True,auto_submit=True,
    auto_submit_duration=5).launch()