app.py

import whisper
from transformers import pipeline
import gradio as gr

model = whisper.load_model("base")

def transcribe(audio):
    result = model.transcribe(audio)
    return result["text"]

gr.Interface(
    fn=transcribe,
    inputs=gr.Audio(source="microphone", type="filepath"),
    outputs="text"
).launch()