镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-09 07:56:48 +00:00
试试联网检索
这个提交包含在:
@@ -36,8 +36,15 @@ def scrape_text(url, proxies) -> str:
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Returns:
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str: The scraped text
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"""
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headers = {'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36'}
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response = requests.get(url, headers=headers, proxies=proxies)
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headers = {
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'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/94.0.4606.61 Safari/537.36',
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'Content-Type': 'text/plain',
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}
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try:
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response = requests.get(url, headers=headers, proxies=proxies, timeout=8)
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if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
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except:
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return "无法连接到该网页"
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soup = BeautifulSoup(response.text, "html.parser")
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for script in soup(["script", "style"]):
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script.extract()
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@@ -70,20 +77,24 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
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history = []
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# ------------- < 第2步:依次访问网页 > -------------
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max_search_result = 4 # 最多收纳多少个网页的结果
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max_search_result = 5 # 最多收纳多少个网页的结果
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for index, url in enumerate(urls[:max_search_result]):
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res = scrape_text(url['link'], proxies)
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history.extend([f"第{index}份搜索结果:", res])
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chatbot.append([f"第{index}份搜索结果:", res[:500]])
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chatbot.append([f"第{index}份搜索结果:", res[:500]+"......"])
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yield from update_ui(chatbot=chatbot, history=history) # 刷新界面 # 由于请求gpt需要一段时间,我们先及时地做一次界面更新
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# ------------- < 第3步:ChatGPT综合 > -------------
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i_say = f"从以上搜索结果中抽取信息,然后回答问题:{txt}"
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i_say, history = input_clipping(inputs=i_say, history=history, max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']//2)
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i_say, history = input_clipping( # 裁剪输入,从最长的条目开始裁剪,防止爆token
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inputs=i_say,
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history=history,
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max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']*3//4
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)
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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=history,
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sys_prompt="请从给定文本中抽取信息"
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sys_prompt="请从给定的若干条搜索结果中抽取信息,对最相关的两个搜索结果进行总结,然后回答问题。"
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)
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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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