import gradio as gr
import os
import shlex
import gdown
import uuid
import torch

cpu_param = "--cpu" if not torch.cuda.is_available() else ""

if (not os.path.exists("synpretrained.pt")):
    gdown.download("https://drive.google.com/u/0/uc?id=1EqFMIbvxffxtjiVrtykroF6_mUh-5Z3s&export=download&confirm=t",
                   "synpretrained.pt", quiet=False)
    gdown.download("https://drive.google.com/uc?export=download&id=1q8mEGwCkFy23KZsinbuvdKAQLqNKbYf1",
                   "encpretrained.pt", quiet=False)
    gdown.download("https://drive.google.com/uc?export=download&id=1cf2NO6FtI0jDuy8AV3Xgn6leO6dHjIgu",
                   "vocpretrained.pt", quiet=False)


def inference(audio_path, text, mic_path=None):
    if mic_path:
        audio_path = mic_path
    output_path = f"/tmp/output_{uuid.uuid4()}.wav"
    os.system(
        f"python demo_cli.py --no_sound {cpu_param} --audio_path {audio_path} --text {shlex.quote(text.strip())} --output_path {output_path}")
    return output_path


title = "Real-Time-Voice-Cloning"
description = "Gradio demo for Real-Time-Voice-Cloning: Clone a voice in 5 seconds to generate arbitrary speech in real-time. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
article = "<p style='text-align: center'><a href='https://matheo.uliege.be/handle/2268.2/6801' target='_blank'>Real-Time Voice Cloning</a> | <a href='https://github.com/CorentinJ/Real-Time-Voice-Cloning' target='_blank'>Github Repo</a></p>"

examples = [['test.wav', "This is real time voice cloning on huggingface spaces"]]


def toggle(choice):
    if choice == "mic":
        return gr.update(visible=True, value=None), gr.update(visible=False, value=None)
    else:
        return gr.update(visible=False, value=None), gr.update(visible=True, value=None)


with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            radio = gr.Radio(["mic", "file"], value="mic",
                             label="How would you like to upload your audio?")
            mic_input = gr.Mic(label="Input", type="filepath", visible=False)
            audio_file = gr.Audio(
                type="filepath", label="Input", visible=True)
            text_input = gr.Textbox(label="Text")
        with gr.Column():
            audio_output = gr.Audio(label="Output")

    gr.Examples(examples, fn=inference, inputs=[audio_file, text_input],
                      outputs=audio_output, cache_examples=True)
    btn = gr.Button("Generate")
    btn.click(inference, inputs=[audio_file,
              text_input, mic_input], outputs=audio_output)
    radio.change(toggle, radio, [mic_input, audio_file])

demo.launch(enable_queue=True)