app.py

import gradio as gr
from gradio_client import Client


DEBUG_MODE = True

'''
    Function to get the speech from the text
    @params: text: str, voice: audio
    @returns: result: speech audio
'''
def get_speech(text, voice):
    
    '''
        For now we are using external space to get the result.
        In future we will use our own model to get be more independent
    '''
    client = Client("https://collabora-whisperspeech.hf.space/")
    result = client.predict(
            # str  in 'Enter multilingual text📝💬' Textbox component
    		text,
      	    # filepath  in 'Upload or Record Speaker Audio (optional)🌬️💬' Audio component
    		voice,	
    		"",	# str  in 'alternatively, you can paste in an audio file URL:' Textbox component
    		14,	# float (numeric value between 10 and 15) in 'Tempo (in characters per second)' Slider component
    		api_name="/whisper_speech_demo"
    )
    if DEBUG_MODE:
        print(result)
    return result