streamlit app

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Pierre-Edouard Portier 2024-01-03 16:25:44 +01:00
parent f8f94b947e
commit cdbbc0e8a5
1 changed files with 36 additions and 0 deletions

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app.py Normal file
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import streamlit as st
from rag import RAG
llm_model_path = '/Users/peportier/llm/a/a/zephyr-7b-beta.Q5_K_M.gguf'
embed_model_name = 'intfloat/multilingual-e5-large'
collection_name = 'cera'
chromadb_path = './chromadb'
rag = RAG(llm_model_path, embed_model_name, collection_name, chromadb_path)
st.title("CERA Chat")
if st.sidebar.button("Nouvelle conversation"):
st.session_state.messages = []
rag.reset_history()
if "messages" not in st.session_state:
st.session_state.messages = []
for message in st.session_state.messages:
with st.chat_message(message["role"]):
st.markdown(message["content"])
if prompt := st.chat_input("Comment puis-je vous aider ?"):
st.session_state.messages.append({"role": "user", "content": prompt})
with st.chat_message("user"):
st.markdown(prompt)
with st.chat_message("assistant"):
message_placeholder = st.empty()
full_response = ""
for response in rag.chat(prompt):
full_response += response
message_placeholder.markdown(full_response + "")
message_placeholder.markdown(full_response)
st.session_state.messages.append({"role": "assistant", "content": full_response})