NarratoAI/webui.py
linyqh 52180d49c9 feat(merge): 合并视频字幕
- 新增 merge_settings 组件用于视频字幕合并设置
- 实现视频和字幕文件的上传、匹配和排序功能
- 添加合并视频和字幕的逻辑,支持多文件合并- 优化用户界面,增加预览和错误处理功能
2024-12-05 00:56:09 +08:00

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import streamlit as st
import os
import sys
from uuid import uuid4
from app.config import config
from webui.components import basic_settings, video_settings, audio_settings, subtitle_settings, script_settings, review_settings, merge_settings
from webui.utils import cache, file_utils
from app.utils import utils
from app.models.schema import VideoClipParams, VideoAspect
from webui.utils.performance import PerformanceMonitor
# 初始化配置 - 必须是第一个 Streamlit 命令
st.set_page_config(
page_title="NarratoAI",
page_icon="📽️",
layout="wide",
initial_sidebar_state="auto",
menu_items={
"Report a bug": "https://github.com/linyqh/NarratoAI/issues",
'About': f"# NarratoAI:sunglasses: 📽️ \n #### Version: v{config.project_version} \n "
f"自动化影视解说视频详情请移步https://github.com/linyqh/NarratoAI"
},
)
# 设置页面样式
hide_streamlit_style = """
<style>#root > div:nth-child(1) > div > div > div > div > section > div {padding-top: 6px; padding-bottom: 10px; padding-left: 20px; padding-right: 20px;}</style>
"""
st.markdown(hide_streamlit_style, unsafe_allow_html=True)
def init_log():
"""初始化日志配置"""
from loguru import logger
logger.remove()
_lvl = "DEBUG"
def format_record(record):
# 增加更多需要过滤的警告消息
ignore_messages = [
"Examining the path of torch.classes raised",
"torch.cuda.is_available()",
"CUDA initialization"
]
for msg in ignore_messages:
if msg in record["message"]:
return ""
file_path = record["file"].path
relative_path = os.path.relpath(file_path, config.root_dir)
record["file"].path = f"./{relative_path}"
record['message'] = record['message'].replace(config.root_dir, ".")
_format = '<green>{time:%Y-%m-%d %H:%M:%S}</> | ' + \
'<level>{level}</> | ' + \
'"{file.path}:{line}":<blue> {function}</> ' + \
'- <level>{message}</>' + "\n"
return _format
# 优化日志过滤器
def log_filter(record):
ignore_messages = [
"Examining the path of torch.classes raised",
"torch.cuda.is_available()",
"CUDA initialization"
]
return not any(msg in record["message"] for msg in ignore_messages)
logger.add(
sys.stdout,
level=_lvl,
format=format_record,
colorize=True,
filter=log_filter
)
def init_global_state():
"""初始化全局状态"""
if 'video_clip_json' not in st.session_state:
st.session_state['video_clip_json'] = []
if 'video_plot' not in st.session_state:
st.session_state['video_plot'] = ''
if 'ui_language' not in st.session_state:
st.session_state['ui_language'] = config.ui.get("language", utils.get_system_locale())
if 'subclip_videos' not in st.session_state:
st.session_state['subclip_videos'] = {}
def tr(key):
"""翻译函数"""
i18n_dir = os.path.join(os.path.dirname(__file__), "webui", "i18n")
locales = utils.load_locales(i18n_dir)
loc = locales.get(st.session_state['ui_language'], {})
return loc.get("Translation", {}).get(key, key)
def render_generate_button():
"""渲染生成按钮和处理逻辑"""
if st.button(tr("Generate Video"), use_container_width=True, type="primary"):
try:
from app.services import task as tm
import torch
# 重置日志容器和记录
log_container = st.empty()
log_records = []
def log_received(msg):
with log_container:
log_records.append(msg)
st.code("\n".join(log_records))
from loguru import logger
logger.add(log_received)
config.save_config()
task_id = st.session_state.get('task_id')
if not task_id:
st.error(tr("请先裁剪视频"))
return
if not st.session_state.get('video_clip_json_path'):
st.error(tr("脚本文件不能为空"))
return
if not st.session_state.get('video_origin_path'):
st.error(tr("视频文件不能为空"))
return
st.toast(tr("生成视频"))
logger.info(tr("开始生成视频"))
# 获取所有参数
script_params = script_settings.get_script_params()
video_params = video_settings.get_video_params()
audio_params = audio_settings.get_audio_params()
subtitle_params = subtitle_settings.get_subtitle_params()
# 合并所有参数
all_params = {
**script_params,
**video_params,
**audio_params,
**subtitle_params
}
# 创建参数对象
params = VideoClipParams(**all_params)
result = tm.start_subclip(
task_id=task_id,
params=params,
subclip_path_videos=st.session_state['subclip_videos']
)
video_files = result.get("videos", [])
st.success(tr("视生成完成"))
try:
if video_files:
player_cols = st.columns(len(video_files) * 2 + 1)
for i, url in enumerate(video_files):
player_cols[i * 2 + 1].video(url)
except Exception as e:
logger.error(f"播放视频失败: {e}")
file_utils.open_task_folder(config.root_dir, task_id)
logger.info(tr("视频生成完成"))
finally:
PerformanceMonitor.cleanup_resources()
def main():
"""主函数"""
init_log()
init_global_state()
utils.init_resources()
st.title(f"NarratoAI :sunglasses:📽️")
st.write(tr("Get Help"))
# 渲染基础设置面板
basic_settings.render_basic_settings(tr)
# 渲染合并设置
merge_settings.render_merge_settings(tr)
# 渲染主面板
panel = st.columns(3)
with panel[0]:
script_settings.render_script_panel(tr)
with panel[1]:
video_settings.render_video_panel(tr)
audio_settings.render_audio_panel(tr)
with panel[2]:
subtitle_settings.render_subtitle_panel(tr)
# 渲染视频审查面板
review_settings.render_review_panel(tr)
# 渲染生成按钮和处理逻辑
render_generate_button()
if __name__ == "__main__":
main()