deepseek_project
A small collection of DeepSeek-related utilities, including a WeChat chatbot built on the DeepSeek API, a local file-upload workaround, one-click DeepSeek model deployment scripts, and a web-search plugin for local LLMs.
deepseek_project is a matrix of small, separate utilities built around DeepSeek. we_chat_project is a WeChat chatbot that connects to the DeepSeek API for automated, context-aware, multi-turn replies with a rate-limit safeguard. Document_upload_assistant is a local file-processing workaround for DeepSeek's platform, which does not expose a file-upload API.
deepseek_r1_deploy deploys DeepSeek's distilled R1 models through ModelScope, runnable on a server or locally with a bundled front end. The web-search plugin gives a locally deployed LLM the ability to search Google, Bing, or Baidu, fetch and summarize page content, and format the results as a prompt for the model, with support tuned for Chinese-language search through Baidu.
Each utility is installed separately by entering its folder and running pip install with its own requirements file.