mirror of
https://github.com/linyqh/NarratoAI.git
synced 2025-12-10 18:02:51 +00:00
93 lines
3.6 KiB
Python
93 lines
3.6 KiB
Python
import os
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import json
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import time
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import asyncio
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import traceback
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import requests
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import streamlit as st
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from loguru import logger
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from app.config import config
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from webui.tools.base import chekc_video_config
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def generate_script_short(tr, params, custom_clips=5):
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"""
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生成短视频脚本
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Args:
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tr: 翻译函数
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params: 视频参数对象
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custom_clips: 自定义片段数量，默认为5
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"""
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progress_bar = st.progress(0)
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status_text = st.empty()
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def update_progress(progress: float, message: str = ""):
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progress_bar.progress(progress)
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if message:
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status_text.text(f"{progress}% - {message}")
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else:
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status_text.text(f"进度: {progress}%")
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try:
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with st.spinner("正在生成脚本..."):
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text_provider = config.app.get('text_llm_provider', 'gemini').lower()
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text_api_key = config.app.get(f'text_{text_provider}_api_key')
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text_model = config.app.get(f'text_{text_provider}_model_name')
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text_base_url = config.app.get(f'text_{text_provider}_base_url')
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vision_llm_provider = st.session_state.get('vision_llm_providers').lower()
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vision_api_key = st.session_state.get(f'vision_{vision_llm_provider}_api_key', "")
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vision_model = st.session_state.get(f'vision_{vision_llm_provider}_model_name', "")
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vision_base_url = st.session_state.get(f'vision_{vision_llm_provider}_base_url', "")
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update_progress(20, "开始准备生成脚本")
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srt_path = params.video_origin_path.replace(".mp4", ".srt").replace("videos", "srt").replace("video", "subtitle")
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if not os.path.exists(srt_path):
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logger.error(f"{srt_path} 文件不存在请检查或重新转录")
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st.error(f"{srt_path} 文件不存在请检查或重新转录")
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st.stop()
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api_params = {
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"vision_provider": vision_llm_provider,
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"vision_api_key": vision_api_key,
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"vision_model_name": vision_model,
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"vision_base_url": vision_base_url or "",
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"text_provider": text_provider,
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"text_api_key": text_api_key,
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"text_model_name": text_model,
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"text_base_url": text_base_url or ""
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}
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chekc_video_config(api_params)
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from app.services.SDP.generate_script_short import generate_script
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script = generate_script(
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srt_path=srt_path,
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output_path="resource/scripts/merged_subtitle.json",
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api_key=text_api_key,
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model_name=text_model,
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base_url=text_base_url,
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custom_clips=custom_clips,
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provider=text_provider
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)
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if script is None:
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st.error("生成脚本失败，请检查日志")
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st.stop()
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logger.info(f"脚本生成完成 {json.dumps(script, ensure_ascii=False, indent=4)}")
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if isinstance(script, list):
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st.session_state['video_clip_json'] = script
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elif isinstance(script, str):
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st.session_state['video_clip_json'] = json.loads(script)
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update_progress(80, "脚本生成完成")
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time.sleep(0.1)
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progress_bar.progress(100)
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status_text.text("脚本生成完成！")
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st.success("视频脚本生成成功！")
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except Exception as err:
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progress_bar.progress(100)
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st.error(f"生成过程中发生错误: {str(err)}")
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logger.exception(f"生成脚本时发生错误\n{traceback.format_exc()}")
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