镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
update experimental media agent
这个提交包含在:
116
crazy_functions/VideoResource_GPT.py
普通文件
116
crazy_functions/VideoResource_GPT.py
普通文件
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import requests
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import random
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import time
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import re
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import json
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from bs4 import BeautifulSoup
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from functools import lru_cache
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from itertools import zip_longest
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from check_proxy import check_proxy
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from toolbox import CatchException, update_ui, get_conf, promote_file_to_downloadzone, update_ui_lastest_msg, generate_file_link
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from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive, input_clipping
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from request_llms.bridge_all import model_info
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from request_llms.bridge_all import predict_no_ui_long_connection
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from crazy_functions.prompts.internet import SearchOptimizerPrompt, SearchAcademicOptimizerPrompt
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from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError
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from textwrap import dedent
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from pydantic import BaseModel, Field
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class Query(BaseModel):
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search_keyword: str = Field(description="search query for video resource")
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# {'title': '【麦笛奈Martine】天文馆的猫 | Diffsinger Lynxnet版本中文试听【Cover 泠鸢·折纸信笺】', 'author': '灰条纹的灰猫君', 'author_id': 2083633, 'bvid': 'BV1LSSHYXEtv', '播放量': 75, '弹幕': 0, '评论': 7, '点赞': 5, '发布时间': '2024-10-31 22:10:08', '视频时长': '4:40', 'tag': '虚拟歌姬,鸟蛋,冷鸟,女声翻唱,泠鸢yousa,虚拟主播,虚拟UP主,VTuber,Diffsinger,虚拟歌手分享官,虚拟之声创作计划·2024第三期', 'description': '翻唱:麦笛奈Martine\n调混:灰条纹的灰猫君\nQ版曲绘:西柚Kanno\n原曲:Av847726911\n原唱:泠鸢\n\n滑铲——月更!\n万圣节快乐!今天是和喵星发电报的可爱猫猫~'}
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class VideoResource(BaseModel):
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title: str = Field(description="title of the video")
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author: str = Field(description="author/uploader of the video")
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bvid: str = Field(description="unique ID of the video")
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def get_video_resource(search_keyword):
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from experimental_mods.get_search_kw_api_stop import search_videos
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# Default parameters for video search
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csrf_token = '40a227fcf12c380d7d3c81af2cd8c5e8' # Using default from main()
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search_type = 'default'
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max_pages = 1
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output_path = 'search_results'
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config_path = 'experimental_mods/config.json'
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# Search for videos and return the first result
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videos = search_videos(
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keyword=search_keyword,
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csrf_token=csrf_token,
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search_type=search_type,
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max_pages=max_pages,
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output_path=output_path,
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config_path=config_path,
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early_stop=True
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)
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# Return the first video if results exist, otherwise return None
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return videos
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def download_video(bvid, user_name, chatbot, history):
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from experimental_mods.get_bilibili_resource import download_bilibili
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# download audio
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chatbot.append((None, "下载音频, 请稍等...")); yield from update_ui(chatbot=chatbot, history=history)
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downloaded_files = download_bilibili(bvid, only_audio=True, user_name=user_name)
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# preview
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preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files]
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file_links = generate_file_link(preview_list)
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yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
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# download video
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chatbot.append((None, "下载视频, 请稍等...")); yield from update_ui(chatbot=chatbot, history=history)
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downloaded_files_part2 = download_bilibili(bvid, only_audio=False, user_name=user_name)
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# preview
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preview_list = [promote_file_to_downloadzone(fp) for fp in downloaded_files_part2]
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file_links = generate_file_link(preview_list)
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yield from update_ui_lastest_msg(f"已完成的文件: <br/>" + file_links, chatbot=chatbot, history=history, delay=0)
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# return
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return downloaded_files + downloaded_files_part2
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@CatchException
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def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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user_wish: str = txt
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# 搜索
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chatbot.append((txt, "检索中, 请稍等..."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# 结构化生成
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rf_req = dedent(f"""
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The user wish to get the following resource:
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{user_wish}
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Generate reseach keywords accordingly.
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""")
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gpt_json_io = GptJsonIO(Query)
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inputs = rf_req + gpt_json_io.format_instructions
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run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
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analyze_res = run_gpt_fn(inputs, "")
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query: Query = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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candadate_dictionary: dict = get_video_resource(query.search_keyword)
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candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4)
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# 筛选
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chatbot.append((None, f"检索关键词已确认: {query.search_keyword}。筛选中, 请稍等..."))
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
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# 结构化生成
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rf_req_2 = dedent(f"""
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Select the most relevant and suitable video resource from the following search results:
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{candadate_dictionary_as_str}
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""")
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gpt_json_io = GptJsonIO(VideoResource)
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inputs = rf_req_2 + gpt_json_io.format_instructions
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run_gpt_fn = lambda inputs, sys_prompt: predict_no_ui_long_connection(inputs=inputs, llm_kwargs=llm_kwargs, history=[], sys_prompt=sys_prompt, observe_window=[])
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analyze_res = run_gpt_fn(inputs, "")
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video_resource: VideoResource = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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if video_resource and video_resource.bvid:
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print(video_resource)
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yield from download_video(video_resource.bvid, chatbot.get_user(), chatbot, history)
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