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")
iface = gr.Interface(fn=convert_to_text, inputs=audio_input, outputs="text",title="AUDIO -TEXTO",
                         description="Subir el Audio y Presionar el botón 'SUBMIT'\
                             ",
                              #theme='freddyaboulton/dracula_revamped'
                              
                              theme = gr.themes.Soft(),
css='div {margin-left: auto; margin-right: auto; width: 100%;\
            background-image: url("https://drive.google.com/file/d/163uypH4ktgCRoa3ZCWcBrQt_qtz1rcPN/view?usp=drive_link"); repeat 0 0;}'))
 
iface.launch()