切换语言模型，再输入提示语队列会卡死，不能立即响应，需要重启服务或者等待很久才可以。

[praguepp]

J:\chatbot\20230414\ChuanhuChatGPT-main (1)\ChuanhuChatGPT-main>python ChuanhuChatbot.py
2023-04-15 11:10:59,754 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 11:10:59,754 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 11:11:00,377 [INFO] [utils.py:392] 您的IP区域：United States。
2023-04-15 11:11:00,463 [INFO] [ChuanhuChatbot.py:435]
川虎的温馨提示：访问 http://localhost:7860 查看界面
Reloading javascript...
Running on local URL: http://0.0.0.0:80
Running on public URL: https://afbc472d7a6cf1f8a0.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces
2023-04-15 11:11:03,270 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 11:11:03,278 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 11:11:19,977 [INFO] [base_model.py:274] 输入为：test
2023-04-15 11:11:22,411 [INFO] [base_model.py:338] 回答为：This is a test response from an OpenAI language model. Please provide more information or a specific prompt so that I can better assist you.
2023-04-15 11:11:40,116 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo-0301
2023-04-15 11:11:40,116 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo-0301

[praguepp]

Reloading javascript...
Running on local URL: http://0.0.0.0:80
Running on public URL: https://19a619c4ca2aaeb7b3.gradio.live

This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces
2023-04-15 14:10:55,040 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:10:55,040 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 14:11:21,030 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:11:21,030 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 14:13:42,461 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:13:42,461 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 14:13:44,942 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:13:44,942 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 14:18:13,095 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:54:26,688 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:54:44,787 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:55:44,983 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo
2023-04-15 14:59:28,798 [INFO] [models.py:510] 正在加载OpenAI模型: gpt-3.5-turbo-0301
2023-04-15 15:00:29,519 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 15:00:29,519 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 15:00:29,519 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 15:00:29,519 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo
2023-04-15 15:00:29,519 [INFO] [models.py:542] 模型设置为了： gpt-3.5-turbo-0301
2023-04-15 15:00:31,019 [INFO] [base_model.py:274] 输入为：python 如何遍历dict的key和value
2023-04-15 15:00:38,421 [INFO] [base_model.py:338] 回答为：可以使用for循环来遍历字典的keys和values，示例如下：

my_dict = {"name": "Alice", "age": 20, "city": "New York"}

# 遍历字典的keys
for key in my_dict.keys():
    print(key)

# 遍历字典的values
for value in my_dict.values():
    print(value)

# 遍历字典的keys和values
for key, value in my_dict.items():
    print(key, value)

输出结果：

name
age
city
Alice
20
New York
name Alice
age 20
city New York

[praguepp]

应该是直接用命令行执行python chuanhu.py，不是作为服务运行，所以会卡住?我是这样设置的：
if name == "main":
reload_javascript()
#demo.queue(concurrency_count=CONCURRENT_COUNT).launch(
# server_name="0.0.0.0",
# server_port=80,
# share=share,
# auth=auth_list if authflag else None,
# favicon_path="",
# inbrowser=not dockerflag, # 禁止在docker下开启inbrowser
demo.queue().launch(server_name="0.0.0.0", server_port=80, share=True, favicon_path="J:\chatbot\favicon.ico", inbrowser=True) # 改为 share=True 可以创建公开分享链接

#)
# demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860, share=False) # 可自定义端口
# demo.queue(concurrency_count=CONCURRENT_COUNT).launch(server_name="0.0.0.0", server_port=7860,auth=("在这里填写用户名", "在这里填写密码")) # 可设置用户名与密码
# demo.queue(concurrency_count=CONCURRENT_COUNT).launch(auth=("在这里填写用户名", "在这里填写密码")) # 适合Nginx反向代理

[praguepp]

能否后台服务的方式运行？