app.py

import transformers
from transformers import pipeline
import gradio as gr
import os 
import sys 
os.system("pip install evaluate")
os.system("pip install datasets")
from evaluate import evaluator
from datasets import load_dataset

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

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

gr.Interface(
    fn=transcribe, 
    inputs=[
        gr.Audio(source="microphone", type="filepath", streaming=True), 
        "state"
    ],
    outputs=[
        "textbox",
        "state"
    ],
    live=True).launch()