app.py

from transformers import pipeline
import gradio as gr
import time


asr = pipeline("automatic-speech-recognition", "YSU/aspram")

def transcribe(audio, state=""):
    # time.sleep(5)
    text = asr(audio)["text"]
    state += text + " "
    print('chunk!')
    return state, state

gr.Interface(
    fn=transcribe, 
    inputs=[
        gr.inputs.Audio(source="microphone", type="filepath"), 
        "state"
    ],
    outputs=[
        "textbox",
        "state"
    ],
    live=False,
    css='body {background-color: rgba(240, 200, 192)}',
).launch()