51 lines
1.7 KiB
Python
51 lines
1.7 KiB
Python
# python -m streamlit run app.py
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import streamlit as st
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from rag import RAG
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import re
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import logging
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@st.cache_resource
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def init_rag():
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llm_url = 'http://127.0.0.1:8080/completion'
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# embed_model_name = 'intfloat/multilingual-e5-large'
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embed_model_name = 'dangvantuan/sentence-camembert-large'
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collection_name = 'cera'
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chromadb_path = './chromadb'
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rag = RAG(llm_url, embed_model_name, collection_name, chromadb_path, mulitlingual_e5=False)
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return rag
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rag = init_rag()
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st.title("CERA Chat")
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if st.sidebar.button("Nouvelle conversation"):
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st.session_state.messages = []
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rag.reset_history()
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if "messages" not in st.session_state:
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st.session_state.messages = []
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for message in st.session_state.messages:
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with st.chat_message(message["role"]):
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st.markdown(message["content"])
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if prompt := st.chat_input("Comment puis-je vous aider ?"):
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st.session_state.messages.append({"role": "user", "content": prompt})
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with st.chat_message("user"):
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st.markdown(prompt)
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with st.chat_message("assistant"):
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message_placeholder = st.empty()
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full_response = ""
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for response in rag.chat(prompt):
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full_response += response
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message_placeholder.markdown(full_response + "▌")
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message_placeholder.markdown(full_response)
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# url_pattern = r"URL :\n(https?://[^\s]+)"
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# urls = re.findall(url_pattern, rag.chat_history[-1]['assistant'])
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# markdown_urls = "\n".join([f"- {url}" for url in urls])
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# logging.info(f"URLs: \n{markdown_urls}")
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# message_placeholder.markdown(markdown_urls)
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st.session_state.messages.append({"role": "assistant", "content": full_response})
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