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Update chat.py
Browse files
chat.py
CHANGED
@@ -43,9 +43,6 @@ def login():
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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) π\n")
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st.write("Built purely with streamlit π , LangChain π¦π and love for AI!")
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st.write("Follow us on [Twitter](https://x.com/myscaledb) and [Discord](https://discord.gg/D2qpkqc4Jq)!")
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st.warning("To use chat, please jump to [https://myscale-chatdata.hf.space](https://myscale-chatdata.hf.space)")
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st.info("We used [Auth0](https://auth0.com) as our identity provider. "
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"We will **NOT** collect any of your conversation in any form for any purpose.")
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st.divider()
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col1, col2 = st.columns(2, gap='large')
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with col1.container():
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@@ -55,6 +52,9 @@ def login():
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st.write("It is a step-by-step tour to understand RAG pipeline.")
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st.session_state["jump_query_ask"] = st.button("Query / Ask")
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with col2.container():
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st.write("Now with the power of LangChain's Conversantional Agents, we are able to build "
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"conversational chatbot with RAG! The agent will decide when and what to retrieve "
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"based on your question!")
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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) π\n")
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st.write("Built purely with streamlit π , LangChain π¦π and love for AI!")
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st.write("Follow us on [Twitter](https://x.com/myscaledb) and [Discord](https://discord.gg/D2qpkqc4Jq)!")
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st.divider()
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col1, col2 = st.columns(2, gap='large')
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with col1.container():
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st.write("It is a step-by-step tour to understand RAG pipeline.")
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st.session_state["jump_query_ask"] = st.button("Query / Ask")
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with col2.container():
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st.warning("To use chat, please jump to [https://myscale-chatdata.hf.space](https://myscale-chatdata.hf.space)")
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st.info("We used [Auth0](https://auth0.com) as our identity provider. "
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"We will **NOT** collect any of your conversation in any form for any purpose.")
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st.write("Now with the power of LangChain's Conversantional Agents, we are able to build "
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"conversational chatbot with RAG! The agent will decide when and what to retrieve "
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"based on your question!")
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