import spaces
import gradio as gr
import torch
from TTS.api import TTS
import os
os.environ["COQUI_TOS_AGREED"] = "1"

device = "cuda"

tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)

@spaces.GPU(enable_queue=True)
def clone(text, audio):
    tts.tts_to_file(text=text, speaker_wav=audio, language="en", file_path="./output.wav")
    return "./output.wav"

iface = gr.Interface(fn=clone, 
                     inputs=[gr.Textbox(label='Text'),gr.Audio(type='filepath', label='Voice reference audio file')], 
                     outputs=gr.Audio(type='filepath'),
                     title='Voice Clone',
                     description="""
                     Duplicated from https://huggingface.co/spaces/tonyassi/voice-clone
                     """,
                     theme = gr.themes.Base(primary_hue="teal",secondary_hue="teal",neutral_hue="slate"),
                     examples=[["Hey, it's me Messmer the Impaler. Type in whatever you'd like me to say.","./audio/Messmer_sample.mp3"],
                               ["Hey! It's me Jolán, from the Elden Ring Shadow of the Erdtree. Type in whatever you'd like me to say.","./audio/20240728_171001.mp3"],
                               ["It's me Vito Corleone, from the Godfather. Type in whatever you'd like me to say.","./audio/Godfather.wav"],
                               ["Hey, it's me Megan Fox from Transformers. Type in whatever you'd like me to say.","./audio/Megan-Fox.mp3"],
                               ["Hey there, it's me Jeff Goldblum. Type in whatever you'd like me to say.","./audio/Jeff-Goldblum.mp3"],]
                    )
iface.queue(api_open=True)
iface.launch(share=True, debug=True)