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Home.py
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Home.py
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# First
from io import BytesIO
import os
from pathlib import Path
import platform
from pytube import YouTube
import streamlit as st
from webui import MENU_ITEMS
from lib import i18n, SONG_DIR, BASE_MODELS_DIR, get_cwd
st.set_page_config("RVC Studio",layout="centered",menu_items=MENU_ITEMS)
from lib.audio import SUPPORTED_AUDIO
from lib.utils import get_index
from webui.components import file_downloader, file_uploader_form
from webui.downloader import BASE_MODELS, KARAFAN_MODELS, MDX_MODELS, PRETRAINED_MODELS, RVC_DOWNLOAD_LINK, RVC_MODELS, VITS_MODELS, VR_MODELS, download_link_generator, save_file, slugify_filepath
from webui.contexts import ProgressBarContext, SessionStateContext
@st.cache_data
def download_audio_to_buffer(url,subtype="mp4"):
buffer = BytesIO()
youtube_video = YouTube(url)
audio = youtube_video.streams.get_audio_only(subtype=subtype)
default_filename = slugify_filepath(audio.default_filename)
audio.stream_to_buffer(buffer)
return default_filename, buffer
def render_download_ffmpeg(lib_name="ffmpeg.exe"):
col1, col2 = st.columns(2)
is_downloaded = os.path.exists(lib_name)
col1.checkbox(os.path.basename(lib_name),value=is_downloaded,disabled=True)
if col2.button("Download",disabled=is_downloaded,key=lib_name):
link = f"{RVC_DOWNLOAD_LINK}ffmpeg.exe"
with st.spinner(f"Downloading from {link} to {lib_name}"):
file_downloader((lib_name,link))
st.experimental_rerun()
def render_model_checkboxes(generator):
not_downloaded = []
for model_path,link in generator:
col1, col2, col3 = st.columns(3)
is_downloaded = os.path.exists(model_path)
col1.checkbox(os.path.basename(model_path),value=is_downloaded,disabled=True)
if not is_downloaded: not_downloaded.append((model_path,link))
col2.markdown(f"[Download Link]({link})")
if col3.button("Download",disabled=is_downloaded,key=model_path):
with st.spinner(f"Downloading from {link} to {model_path}"):
file_downloader((model_path,link))
st.experimental_rerun()
return not_downloaded
def rvc_index_path_mapper(params):
(data_path, data) = params
if "index" not in data_path.split(".")[-1]:
return params
else: return (os.path.join(BASE_MODELS_DIR,"RVC",".index",os.path.basename(data_path)), data) # index file
if __name__=="__main__":
CWD = get_cwd()
st.write(f"Current Location: {CWD}")
model_tab, audio_tab = st.tabs(["Model Download","Audio Download"])
with model_tab:
st.title("Download required models")
with st.expander("Base Models"):
generator = download_link_generator(RVC_DOWNLOAD_LINK, BASE_MODELS)
to_download = render_model_checkboxes(generator)
if st.button("Download All",key="download-all-base-models",disabled=len(to_download)==0):
with ProgressBarContext(to_download,file_downloader,"Downloading models") as pb:
pb.run()
st.subheader("Required Models for training")
with st.expander("Pretrained Models"):
generator = download_link_generator(RVC_DOWNLOAD_LINK, PRETRAINED_MODELS)
to_download = render_model_checkboxes(generator)
if st.button("Download All",key="download-all-pretrained-models",disabled=len(to_download)==0):
with ProgressBarContext(to_download,file_downloader,"Downloading models") as pb:
pb.run()
with st.container():
if platform.system() == "Windows":
render_download_ffmpeg()
elif platform.system() == "Linux":
st.markdown("run `apt update && apt install -y -qq ffmpeg espeak` in your terminal")
st.subheader("Required Models for inference")
with st.expander("RVC Models"):
file_uploader_form(
os.path.join(BASE_MODELS_DIR,"RVC"),"Upload your RVC model",
types=["pth","index","zip"],
accept_multiple_files=True,
params_mapper=rvc_index_path_mapper)
generator = download_link_generator(RVC_DOWNLOAD_LINK, RVC_MODELS)
to_download = render_model_checkboxes(generator)
if st.button("Download All",key="download-all-rvc-models",disabled=len(to_download)==0):
with ProgressBarContext(to_download,file_downloader,"Downloading models") as pb:
pb.run()
with st.expander("Vocal Separation Models"):
generator = download_link_generator(RVC_DOWNLOAD_LINK, VR_MODELS+MDX_MODELS+KARAFAN_MODELS)
to_download = render_model_checkboxes(generator)
if st.button("Download All",key="download-all-vr-models",disabled=len(to_download)==0):
with ProgressBarContext(to_download,file_downloader,"Downloading models") as pb:
pb.run()
with st.expander("VITS Models"):
generator = download_link_generator(RVC_DOWNLOAD_LINK, VITS_MODELS)
to_download = render_model_checkboxes(generator)
with ProgressBarContext(to_download,file_downloader,"Downloading models") as pb:
st.button("Download All",key="download-all-vits-models",disabled=len(to_download)==0,on_click=pb.run)
with audio_tab, SessionStateContext("youtube_downloader") as state:
st.title("Download Audio from Youtube")
state.url = st.text_input("Insert Youtube URL:",value=state.url if state.url else "")
if st.button("Fetch",disabled=not state.url):
with st.spinner("Downloading Audio Stream from Youtube..."):
state.downloaded_audio = download_audio_to_buffer(state.url)
if state.downloaded_audio:
title, data = state.downloaded_audio
st.subheader(title)
state.format = st.radio(
i18n("inference.format"),
options=SUPPORTED_AUDIO,horizontal=True,
index=get_index(SUPPORTED_AUDIO,state.format))
fname = Path(title).with_suffix(f".{state.format}").name
fname = st.text_input("Save Filename",fname)
st.subheader("Listen to Audio")
st.audio(data, format='audio/mpeg')
st.subheader("Download Audio File")
if st.button("Download Song"):
data.seek(0)
params = (os.path.join(SONG_DIR,fname),data.read())
st.toast(save_file(params))