media plugin update
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@@ -78,18 +78,36 @@ def download_video(bvid, user_name, chatbot, history):
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# return
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return downloaded_files + downloaded_files_part2
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class Strategy(BaseModel):
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thought: str = Field(description="analysis of the user's wish, for example, can you recall the name of the resource?")
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which_methods: str = Field(description="Which method to use to find the necessary information? choose from 'method_1' and 'method_2'.")
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method_1_search_keywords: str = Field(description="Generate keywords to search the internet if you choose method 1, otherwise empty.")
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method_2_generate_keywords: str = Field(description="Generate keywords for video download engine if you choose method 2, otherwise empty.")
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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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# query demos:
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# - "我想找一首歌,里面有句歌词是“turn your face towards the sun”"
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# - "一首歌,第一句是红豆生南国"
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# - "一首音乐,中国航天任务专用的那首"
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# - "戴森球计划在熔岩星球的音乐"
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# - "hanser的百变什么精"
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# - "打大圣残躯时的bgm"
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# - "渊下宫战斗音乐"
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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 (less than 5 keywords) accordingly.
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You task is to help the user to search it on google.
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Generate search keywords (less than 7 keywords).
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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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@@ -97,12 +115,39 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
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analyze_res = run_gpt_fn(inputs, "")
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logger.info(analyze_res)
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query: Query = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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internet_search_keyword = query.search_keyword
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yield from update_ui_lastest_msg(lastmsg=f"发起互联网检索: {internet_search_keyword} ...", chatbot=chatbot, history=[], delay=1)
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from crazy_functions.Internet_GPT import internet_search_with_analysis_prompt
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result = yield from internet_search_with_analysis_prompt(
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prompt=internet_search_keyword,
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analysis_prompt="请根据搜索结果分析,获取用户需要找的资源的名称、作者、出处等信息。",
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llm_kwargs=llm_kwargs,
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chatbot=chatbot
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)
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yield from update_ui_lastest_msg(lastmsg=f"互联网检索结论: {result} \n\n 正在生成进一步检索方案 ...", chatbot=chatbot, history=[], delay=1)
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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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Meanwhile, you can access another expert's opinion on the user's wish:
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{result}
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Generate search keywords (less than 5 keywords) for video download engine 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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logger.info(analyze_res)
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query: Query = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn)
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video_engine_keywords = query.search_keyword
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# 关键词展示
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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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chatbot.append((None, f"检索关键词已确认: {video_engine_keywords}。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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# 获取候选资源
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candadate_dictionary: dict = get_video_resource(query.search_keyword)
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candadate_dictionary: dict = get_video_resource(video_engine_keywords)
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candadate_dictionary_as_str = json.dumps(candadate_dictionary, ensure_ascii=False, indent=4)
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# 展示候选资源
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@@ -144,4 +189,12 @@ def 多媒体任务(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_pro
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if video_resource and video_resource.bvid:
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logger.info(video_resource)
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yield from download_video(video_resource.bvid, chatbot.get_user(), chatbot, history)
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yield from download_video(video_resource.bvid, chatbot.get_user(), chatbot, history)
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@CatchException
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def debug(bvid, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
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yield from download_video(bvid, chatbot.get_user(), chatbot, history)
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