import gradio as gr from transformers import pipeline import numpy as np model = "openai/whisper-base.en" pipe = pipeline("automatic-speech-recognition", model=model) def transcribe(audio): sr, y = audio # Convert to mono if stereo if y.ndim > 1: y = y.mean(axis=1) y = y.astype(np.float32) y /= np.max(np.abs(y)) return pipe({"sampling_rate": sr, "raw": y})["text"] demo = gr.Interface( transcribe, gr.Audio(sources="microphone"), "text", ) demo.launch()