Comments (3)
Are you sure that it takes up a lot of I/O? It may be slow, and sometimes even fail to connect to the openai api, but not because there is problem on the server side; it is slow usually due to the Internet connection issue.
If you are still worried about the sources it consumes, you can try using Docker to deploy it (see the updated README: https://github.com/Xueheng-Li/SynologyChatbotGPT), and limit the sources (cpu, memery, etc.) the docker container can use.
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Indeed. The problem is in the chat app. It takes a lot of time to start up and process the requests. I guess my NAS is slow in general.
from synologychatbotgpt.
Indeed. The problem is in the chat app. It takes a lot of time to start up and process the requests. I guess my NAS is slow in general.
I don’t see a reason why this might be the case given that you are using the basicBot. What the basicBot does is simply sending a request to the openai and get the response…
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Related Issues (20)
- 输出代码的时候无法显示 HOT 10
- 请求加个Proxy代理字段 走自己的代理 HOT 3
- 求大佬指导群晖docker怎么走旁路由网络 HOT 1
- 容器一直提示意外停止是因为什么问题 HOT 1
- 无法向机器人服务器发送请求。请联系机器人拥有者 HOT 13
- 关于system_prompt聊天机器人身份的问题
- 能不能为api2d这类第三方接入支持 HOT 1
- 能不能使用上GPT plus
- 在 docker 的仓库里面找不到这个 chatbot呢, HOT 2
- 这个docker是必须在群辉上运行么? HOT 2
- 不使用docker部署的时候当收到来自chat的信息时候提示错误 HOT 1
- 使用serpapi的时候一直会报错 HOT 2
- 是否可以添加自定义 ChatGPT 的 API 地址的接口呢 HOT 1
- 非stream模式时,依然存在很多Code无法返回的问题
- stream模式下返回信息异常 HOT 1
- 有个疑问open-ai api不是被墙了吗? HOT 1
- 当输入dd使用搜索引擎时报错
- docker终端提示 IndexError HOT 3
- 请问下为什么机器人回复的是gpt-3模型,是我api的问题吗
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