app.py

import gradio as gr
from transformers import pipeline
import numpy as np
from ailib import whisper_transcribe

def transcribe(audio):
    filename = 'audio.wav'
    open(filename, 'wb').write(audio)
    return whisper_transcribe(filename)


gr.Label("Demo CORFO")
demo = gr.Interface(
    transcribe,
    gr.Audio(sources=["microphone"]),
    "text",
)

demo.launch()