app.py

import gradio as gr
import whisper

def convert_to_text(audio_path : str) -> str:  
    model = whisper.load_model("base")
    result = model.transcribe(audio_path)
    return result["text"]

audio_input = gr.components.Audio(type="filepath")

# Interface for Gradio
iface = gr.Interface(
    fn=convert_to_text,
    inputs=audio_input,
    outputs="text"
    title="Free audio transcription",
    description="Upload an audio here and get a bullet-point summary of its content.",
    theme="Monochrome",
    live=True,
    capture_session=True,
)

iface.launch()