Ross ROSS = Recommend OSS · open-source software intelligence for agents

zhaoyingjun/chatbot

Chatbot继续沿着LLM前进,近期更新小参数量SLM的和训练脚本,支持本地训练。新增ChatAgent,实现各种有实际场景价值的Agent实现。 observed · 2026-08-28

github.com/zhaoyingjun/chatbot · Python observed · 2026-08-28

Health v2 · maintenance only

53/100

  • Activity 46
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3159
  • days_rel: n/a
  • days_push: 328
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

3581 stars · 1010 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Chinese chatbot project that trains conversational models (Seq2Seq and GPT-style, including small SLM variants) on custom corpora with local training scripts, plus a ChatAgent/Shopping Agent component. The Shopping Agent uses browser automation, screenshots, and LLM analysis to extract order data from web backends and export it to Excel via a FastAPI backend and Streamlit frontend.

Use cases

  • train a chatbot on my own chinese conversation corpus
  • build a shopping agent that extracts orders from a web dashboard
  • scrape order pages with screenshots and export to excel
  • fine-tune a small language model locally
  • automate order data extraction from a backend that has no export
  • learn seq2seq and GPT chatbot implementations
  • build an AI agent that controls a browser via natural language

When to choose

  • you want a trainable Chinese chatbot with Seq2Seq and GPT variants
  • you need to extract order data from web pages that cannot be exported directly
  • you want example agent implementations with real business scenarios
  • you want to experiment with small language model training scripts locally

When to avoid

  • you need a production-grade enterprise chatbot platform
  • you require a licensed, commercially supported product (no license is provided)
  • you need a non-Chinese-language chatbot out of the box
  • you want a no-code solution without Python setup

Facets

application · maturity active

chatbot agent-framework machine-learning llm-training web-scraping ocr data-science artificial-intelligence chatbots large-language-models machine-learning e-commerce python cross-platform shopping-agent seq2seq gpt mindspore pytorch browser-automation selenium streamlit fastapi chinese-chatbot slm order-extraction excel-export ai-agents automation web-server docker

1 source

Member repositories

RepositoryRoleHealth v2
zhaoyingjun/chatbotmain53

For agents

markdown · JSON · MCP: product_card(name="zhaoyingjun/chatbot")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem