app.py

import gradio as gr
import whisper
def translatetotext(audio):
    model = whisper.load_model("base")
  
    audio = whisper.load_audio(audio)
    result1= model.transcribe(audio)
    #print (result1["text"])
    return result1["text"]

demo = gr.Interface(
    fn=translatetotext,
    inputs=gr.Audio(source="upload",type="filepath"),
    examples=[["Example.mp3"]],
    outputs="text"
)
demo.launch()