app.py

import gradio as gr
from recognizer import Recognizer,Translator
# from gttsapp import     Translator2
recog=Recognizer('openai/whisper-medium')
trans =Translator("Helsinki-NLP/opus-mt-en-fr")
# speaker =Translator2('fr','fr',False)
def transcribe(audio):
    eng_text = recog.process(audio)
    fr_text =trans.process(eng_text)
    # s.predict(fre_text)
    # s.save('speech.mp3')
    # s.to_wav()

    return [eng_text,fr_text]

demo = gr.Interface(
    fn=transcribe, 
    inputs=gr.Audio(source="microphone", type="filepath"), 
    outputs=['text','text'])


if __name__ =='__main__':
    demo.launch()