app.py

import gradio as gr

# Load the model without launching the interface
loaded_model = gr.Interface.load("models/openai/whisper-large-v2", allow_launch=False)

def transcribe_audio(audio_file):
    # Use the loaded model to transcribe the audio
    return loaded_model(audio_file)

audio_input = gr.inputs.Audio(type="filepath")
text_output = gr.outputs.Textbox()

# Setup the custom Gradio interface with your configurations
iface = gr.Interface(
    fn=transcribe_audio,
    inputs=audio_input,
    outputs=text_output,
    title="Speech-to-Text using Whisper v2",
    description="Upload an audio file to transcribe it to text.",
    theme="Monochrome",
    live=True,
    capture_session=True,
)

iface.launch()