试试联网检索

这个提交包含在:
505030475
2023-04-20 23:58:26 +08:00
父节点 325406a650
当前提交 90e1eef61f
共有 3 个文件被更改,包括 58 次插入27 次删除

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@@ -36,8 +36,15 @@ def scrape_text(url, proxies) -> str:
Returns:
str: The scraped text
"""
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'}
response = requests.get(url, headers=headers, proxies=proxies)
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',
'Content-Type': 'text/plain',
}
try:
response = requests.get(url, headers=headers, proxies=proxies, timeout=8)
if response.encoding == "ISO-8859-1": response.encoding = response.apparent_encoding
except:
return "无法连接到该网页"
soup = BeautifulSoup(response.text, "html.parser")
for script in soup(["script", "style"]):
script.extract()
@@ -70,20 +77,24 @@ def 连接网络回答问题(txt, llm_kwargs, plugin_kwargs, chatbot, history, s
history = []
# ------------- < 第2步依次访问网页 > -------------
max_search_result = 4 # 最多收纳多少个网页的结果
max_search_result = 5 # 最多收纳多少个网页的结果
for index, url in enumerate(urls[:max_search_result]):
res = scrape_text(url['link'], proxies)
history.extend([f"{index}份搜索结果:", res])
chatbot.append([f"{index}份搜索结果:", res[:500]])
chatbot.append([f"{index}份搜索结果:", res[:500]+"......"])
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
# ------------- < 第3步ChatGPT综合 > -------------
i_say = f"从以上搜索结果中抽取信息,然后回答问题:{txt}"
i_say, history = input_clipping(inputs=i_say, history=history, max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']//2)
i_say, history = input_clipping( # 裁剪输入,从最长的条目开始裁剪,防止爆token
inputs=i_say,
history=history,
max_token_limit=model_info[llm_kwargs['llm_model']]['max_token']*3//4
)
gpt_say = yield from request_gpt_model_in_new_thread_with_ui_alive(
inputs=i_say, inputs_show_user=i_say,
llm_kwargs=llm_kwargs, chatbot=chatbot, history=history,
sys_prompt="请从给定文本中抽取信息"
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。"
)
chatbot[-1] = (i_say, gpt_say)
history.append(i_say);history.append(gpt_say)