mpsk commited on
Commit
505abaf
β€’
1 Parent(s): 17c6622

Update chat.py

Browse files
Files changed (1) hide show
  1. chat.py +3 -3
chat.py CHANGED
@@ -43,9 +43,6 @@ def login():
43
  st.write("You can now chat with ArXiv and Wikipedia! You can also try to build your RAG system with those knowledge base via [our public read-only credentials!](https://github.com/myscale/ChatData#data-schema) 🌟\n")
44
  st.write("Built purely with streamlit πŸ‘‘ , LangChain πŸ¦œπŸ”— and love for AI!")
45
  st.write("Follow us on [Twitter](https://x.com/myscaledb) and [Discord](https://discord.gg/D2qpkqc4Jq)!")
46
- st.warning("To use chat, please jump to [https://myscale-chatdata.hf.space](https://myscale-chatdata.hf.space)")
47
- st.info("We used [Auth0](https://auth0.com) as our identity provider. "
48
- "We will **NOT** collect any of your conversation in any form for any purpose.")
49
  st.divider()
50
  col1, col2 = st.columns(2, gap='large')
51
  with col1.container():
@@ -55,6 +52,9 @@ def login():
55
  st.write("It is a step-by-step tour to understand RAG pipeline.")
56
  st.session_state["jump_query_ask"] = st.button("Query / Ask")
57
  with col2.container():
 
 
 
58
  st.write("Now with the power of LangChain's Conversantional Agents, we are able to build "
59
  "conversational chatbot with RAG! The agent will decide when and what to retrieve "
60
  "based on your question!")
 
43
  st.write("You can now chat with ArXiv and Wikipedia! You can also try to build your RAG system with those knowledge base via [our public read-only credentials!](https://github.com/myscale/ChatData#data-schema) 🌟\n")
44
  st.write("Built purely with streamlit πŸ‘‘ , LangChain πŸ¦œπŸ”— and love for AI!")
45
  st.write("Follow us on [Twitter](https://x.com/myscaledb) and [Discord](https://discord.gg/D2qpkqc4Jq)!")
 
 
 
46
  st.divider()
47
  col1, col2 = st.columns(2, gap='large')
48
  with col1.container():
 
52
  st.write("It is a step-by-step tour to understand RAG pipeline.")
53
  st.session_state["jump_query_ask"] = st.button("Query / Ask")
54
  with col2.container():
55
+ st.warning("To use chat, please jump to [https://myscale-chatdata.hf.space](https://myscale-chatdata.hf.space)")
56
+ st.info("We used [Auth0](https://auth0.com) as our identity provider. "
57
+ "We will **NOT** collect any of your conversation in any form for any purpose.")
58
  st.write("Now with the power of LangChain's Conversantional Agents, we are able to build "
59
  "conversational chatbot with RAG! The agent will decide when and what to retrieve "
60
  "based on your question!")