Applio / app.py
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import gradio as gr
import sys
import os
import logging
now_dir = os.getcwd()
sys.path.append(now_dir)
# Tabs
from tabs.inference.inference import inference_tab
from tabs.train.train import train_tab
from tabs.extra.extra import extra_tab
from tabs.report.report import report_tab
from tabs.download.download import download_tab
from tabs.tts.tts import tts_tab
from tabs.voice_blender.voice_blender import voice_blender_tab
from tabs.settings.presence import presence_tab, load_config_presence
from tabs.settings.flask_server import flask_server_tab
from tabs.settings.fake_gpu import fake_gpu_tab, gpu_available, load_fake_gpu
from tabs.settings.themes import theme_tab
from tabs.plugins.plugins import plugins_tab
from tabs.settings.version import version_tab
from tabs.settings.lang import lang_tab
from tabs.settings.restart import restart_tab
# Assets
import assets.themes.loadThemes as loadThemes
from assets.i18n.i18n import I18nAuto
import assets.installation_checker as installation_checker
from assets.discord_presence import RPCManager
from assets.flask.server import start_flask, load_config_flask
from core import run_prerequisites_script
run_prerequisites_script("False", "True", "True", "True")
i18n = I18nAuto()
if load_config_presence() == True:
RPCManager.start_presence()
installation_checker.check_installation()
logging.getLogger("uvicorn").disabled = True
logging.getLogger("fairseq").disabled = True
if load_config_flask() == True:
print("Starting Flask server")
start_flask()
my_applio = loadThemes.load_json()
if my_applio:
pass
else:
my_applio = "ParityError/Interstellar"
with gr.Blocks(theme=my_applio, title="Applio") as Applio:
gr.Markdown("# Applio")
gr.Markdown(
i18n(
"Ultimate voice cloning tool, meticulously optimized for unrivaled power, modularity, and user-friendly experience."
)
)
gr.Markdown(
i18n(
"[Support](https://discord.gg/IAHispano) β€” [Discord Bot](https://discord.com/oauth2/authorize?client_id=1144714449563955302&permissions=1376674695271&scope=bot%20applications.commands) β€” [Find Voices](https://applio.org/models) β€” [GitHub](https://github.com/IAHispano/Applio)"
)
)
with gr.Tab(i18n("Inference")):
inference_tab()
with gr.Tab(i18n("Train")):
if gpu_available() or load_fake_gpu():
train_tab()
else:
gr.Markdown(
i18n(
"Currently, training is unsupported due to the absence of a GPU. If you have a PC with a GPU and wish to train a model, please refer to our installation guide here: [Applio Installation Guide](https://docs.applio.org/get-started/installation/). For those without a GPU-enabled PC, explore alternative options here: [Applio Alternatives](https://docs.applio.org/get-started/alternatives/)."
)
)
with gr.Tab(i18n("TTS")):
tts_tab()
# with gr.Tab(i18n("Voice Blender")):
# voice_blender_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")):
# presence_tab()
# flask_server_tab()
# if not gpu_available():
# fake_gpu_tab()
# theme_tab()
# version_tab()
# lang_tab()
# restart_tab()
def launch_gradio(port):
Applio.launch(
favicon_path="assets/ICON.ico",
share="--share" in sys.argv,
inbrowser="--open" in sys.argv,
server_port=port,
)
if __name__ == "__main__":
port = 6969
if "--port" in sys.argv:
port_index = sys.argv.index("--port") + 1
if port_index < len(sys.argv):
port = int(sys.argv[port_index])
launch_gradio(port)
else:
# if launch fails, decrement port number and try again (up to 10 times)
for i in range(10):
try:
launch_gradio(port)
break
except OSError:
print("Failed to launch on port", port, "- trying again...")
port -= 1
except Exception as e:
print(f"Unexpected error during launch: {e}")
break