app.py

import gradio as gr
from transformers import pipeline
import torch

device = "cuda:0" if torch.cuda.is_available() else "cpu"

pipeline = pipeline("automatic-speech-recognition",
  model="openai/whisper-medium",
  chunk_length_s=30,
  device=device,
  batch_size=8,
  )

iface = gr.Interface.from_pipeline(pipeline, inputs= gr.inputs.Audio(source="upload", type="filepath"), title="Audio Transcription App")
iface.launch(debug=True)