app.py

import gradio as gr
import time
from transformers import pipeline

p = pipeline("automatic-speech-recognition", 
             model = 'carlosdanielhernandezmena/whisper-large-faroese-8k-steps-100h-ct2')

def transcribe(audio, state=""):
    time.sleep(3)
    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()