修复插件demo的图像显示的问题
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				@ -1,6 +1,7 @@
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from toolbox import CatchException, update_ui
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from .crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
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import datetime
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import datetime, re
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@CatchException
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def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, web_port):
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    """
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@ -18,12 +19,34 @@ def 高阶功能模板函数(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
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    for i in range(5):
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        currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
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        currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
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        i_say = f'历史中哪些事件发生在{currentMonth}月{currentDay}日?列举两条并发送相关图片。发送图片时,请使用Markdown,将Unsplash API中的PUT_YOUR_QUERY_HERE替换成描述该事件的一个最重要的单词。'
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        i_say = f'历史中哪些事件发生在{currentMonth}月{currentDay}日?用中文列举两条,然后分别给出描述事件的两个英文单词。' + '当你给出关键词时,使用以下json格式:{"KeyWords":[EnglishKeyWord1,EnglishKeyWord2]}。'
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        gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
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            inputs=i_say, inputs_show_user=i_say, 
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            llm_kwargs=llm_kwargs, chatbot=chatbot, history=[], 
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            sys_prompt="当你想发送一张照片时,请使用Markdown, 并且不要有反斜线, 不要用代码块。使用 Unsplash API (https://source.unsplash.com/1280x720/? < PUT_YOUR_QUERY_HERE >)。"
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            sys_prompt='输出格式示例:1908年,美国消防救援事业发展的“美国消防协会”成立。关键词:{"KeyWords":["Fire","American"]}。'
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        )
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        gpt_say = get_images(gpt_say)
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        chatbot[-1] = (i_say, gpt_say)
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        history.append(i_say);history.append(gpt_say)
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        yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 界面更新
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def get_images(gpt_say):
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    def get_image_by_keyword(keyword):
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        import requests
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        from bs4 import BeautifulSoup
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        response = requests.get(f'https://wallhaven.cc/search?q={keyword}', timeout=2)
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        for image_element in BeautifulSoup(response.content, 'html.parser').findAll("img"):
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            if "data-src" in image_element: break
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        return image_element["data-src"]
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    for keywords in re.findall('{"KeyWords":\[(.*?)\]}', gpt_say):
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        keywords = [n.strip('"') for n in keywords.split(',')]
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        try:
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            description = keywords[0]
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            url = get_image_by_keyword(keywords[0])
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            img_tag = f"\n\n"
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            gpt_say += img_tag
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        except:
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            continue
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    return gpt_say
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