app.py

from transformers import pipeline
import gradio as gr
import time
import torch

p = pipeline("automatic-speech-recognition", model="ibm-granite/granite-speech-3.2-8b", torch_dtype=torch.bfloat16, trust_remote_code=True)

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()