app.py

import logging
import os
import sys

import gradio as gr

# Set up logging
logging.getLogger("uvicorn").setLevel(logging.WARNING)
logging.getLogger("httpx").setLevel(logging.WARNING)

# Add current directory to sys.path
now_dir = os.getcwd()
sys.path.append(now_dir)

# Zluda hijack
import rvc.lib.zluda

# Run prerequisites
from core import run_prerequisites_script
from tabs.api.api import api_tab
from tabs.download.download import download_tab
from tabs.extra.extra import extra_tab

# Import Tabs
from tabs.inference.inference import inference_tab
from tabs.plugins.plugins import plugins_tab
from tabs.report.report import report_tab
from tabs.settings.settings import settings_tab
from tabs.train.train import train_tab
from tabs.tts.tts import tts_tab
from tabs.voice_blender.voice_blender import voice_blender_tab

run_prerequisites_script(
    pretraineds_hifigan=True,
    models=True,
    exe=True,
)

# Initialize i18n
from assets.i18n.i18n import I18nAuto

i18n = I18nAuto()

# Check installation
import assets.installation_checker as installation_checker

installation_checker.check_installation()

# Load theme
import assets.themes.loadThemes as loadThemes

my_applio = loadThemes.load_theme() or "ParityError/Interstellar"

# Define Gradio interface
with gr.Blocks(
    theme=my_applio,
    title="Applio",
) as Applio:
    gr.Markdown("# Applio")
    gr.Markdown(
        i18n(
            "A simple, high-quality voice conversion tool focused on ease of use and performance."
        )
    )
    gr.Markdown(
        i18n(
            "[Support](https://discord.gg/urxFjYmYYh) — [GitHub](https://github.com/IAHispano/Applio)"
        )
    )
    with gr.Tab(i18n("Inference")):
        inference_tab()

    with gr.Tab(i18n("Training")):
        train_tab()

    with gr.Tab(i18n("TTS")):
        tts_tab()

    with gr.Tab(i18n("Voice Blender")):
        voice_blender_tab()

    with gr.Tab(i18n("API")):
        api_tab()

    with gr.Tab(i18n("Plugins")):
        plugins_tab()

    with gr.Tab(i18n("Download")):
        download_tab()

    with gr.Tab(i18n("Report a Bug")):
        report_tab()

    with gr.Tab(i18n("Extra")):
        extra_tab()

    with gr.Tab(i18n("Settings")):
        settings_tab()

    with gr.Tab("Realtime API"):
        from tabs.api.realtime_api import (
            get_available_models,
            process_audio_stream,
        )

        gr.Markdown("### Realtime Voice Conversion (Streaming)")
        rt_model_zip = gr.Textbox(
            label="Model ZIP URL (optional)",
            placeholder="https://example.com/model.zip",
        )
        with gr.Row():
            rt_model = gr.Dropdown(
                label="Model",
                choices=get_available_models(),
                value=None,
                allow_custom_value=True,
            )
            rt_pitch = gr.Slider(-12, 12, value=0, step=1, label="Pitch")
            rt_index_rate = gr.Slider(0, 1, value=0.75, step=0.05, label="Index Rate")

        rt_state = gr.State(None)
        rt_input = gr.Audio(
            sources=["microphone"],
            streaming=True,
            label="Input (Microphone)",
        )
        rt_output = gr.Audio(
            streaming=True,
            label="Output",
            autoplay=True,
        )

        rt_input.stream(
            fn=process_audio_stream,
            inputs=[rt_state, rt_input, rt_model_zip, rt_model, rt_pitch, rt_index_rate],
            outputs=[rt_state, rt_output],
            api_name="realtime_convert",
        )

    gr.Markdown(
        """
    <div style="text-align: center; font-size: 0.9em; text-color: a3a3a3;">
    By using Applio, you agree to comply with ethical and legal standards, respect intellectual property and privacy rights, avoid harmful or prohibited uses, and accept full responsibility for any outcomes, while Applio disclaims liability and reserves the right to amend these terms.
    </div>
    """
    )


if __name__ == "__main__":
    Applio.launch(
        server_name="0.0.0.0",
        allowed_paths=["/app/assets/audios/", "/home/user/app/assets/audios/"],
    )