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Update app.py
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app.py
CHANGED
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@@ -13,6 +13,8 @@ from langchain.prompts import ChatPromptTemplate, MessagesPlaceholder
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from langchain_core.chat_history import BaseChatMessageHistory
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from langchain.memory import ConversationBufferMemory, PostgresChatMessageHistory
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@@ -29,18 +31,40 @@ def get_llm_chain():
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@st.cache_resource
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def
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if 'memory' not in st.session_state:
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# st.session_state.memory = PostgresChatMessageHistory(connection_string=POSTGRE_URL, session_id=str(datetime.timestamp(datetime.now())))
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st.
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st.session_state.memory.add_ai_message("Hello, My name is Jonathan Jordan. You can call me Jojo. How can I help you today?")
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if 'chain' not in st.session_state:
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# st.session_state['chain'] = custom_chain_with_history(
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@@ -55,7 +79,7 @@ if 'chain' not in st.session_state:
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st.title("Chat With Me")
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st.subheader("by Jonathan Jordan")
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st.markdown("Note :
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# Initialize chat history
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if "messages" not in st.session_state:
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@@ -78,10 +102,20 @@ if prompt := st.chat_input("Ask me anything.."):
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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st.markdown(response)
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st.session_state.memory.
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# st.session_state.memory.
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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from langchain_core.chat_history import BaseChatMessageHistory
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from langchain.memory import ConversationBufferMemory, PostgresChatMessageHistory
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import psycopg2
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import urllib.parse as up
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@st.cache_resource
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def get_db_connection(conn_url, password=None):
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url = up.urlparse(conn_url)
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conn = psycopg2.connect(
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database=url.path[1:],
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user=url.username,
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password=password if password is not None else url.password,
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host=url.hostname,
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port=url.port
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)
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print("Connection to database succesfull!")
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return conn
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# @st.cache_resource
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# def get_memory():
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# return PostgresChatMessageHistory(connection_string=POSTGRE_URL, session_id=str(datetime.timestamp(datetime.now())))
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if 'conn' not in st.session_state:
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st.session_state.conn = get_db_connection(POSTGRE_URL)
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if 'cursor' not in st.session_state:
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st.session_state.cursor = st.session_state.conn.cursor()
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if 'memory' not in st.session_state:
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st.session_state['memory'] = ConversationBufferMemory(return_messages=True)
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# st.session_state.memory = PostgresChatMessageHistory(connection_string=POSTGRE_URL, session_id=str(datetime.timestamp(datetime.now())))
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# st.session_state.memory = get_memory()
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st.session_state.memory.chat_memory.add_ai_message("Hello, My name is Jonathan Jordan. You can call me Jojo. How can I help you today?")
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# st.session_state.memory.add_ai_message("Hello, My name is Jonathan Jordan. You can call me Jojo. How can I help you today?")
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if 'chain' not in st.session_state:
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# st.session_state['chain'] = custom_chain_with_history(
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st.title("Chat With Me")
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st.subheader("by Jonathan Jordan")
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st.markdown("Note : This conversation will be recorded in our private Database, thank you :)")
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# Initialize chat history
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if "messages" not in st.session_state:
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# Display assistant response in chat message container
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with st.chat_message("assistant"):
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st.markdown(response)
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# st.session_state.memory.add_user_message(prompt)
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# st.session_state.memory.add_ai_message(response)
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st.session_state.memory.save_context({"question":prompt}, {"output":response})
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st.session_state.memory.chat_memory.messages = st.session_state.memory.chat_memory.messages[-15:]
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# Add assistant response to chat history
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st.session_state.messages.append({"role": "assistant", "content": response})
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# Insert data into the table
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st.session_state.cursor.execute(
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"INSERT INTO chat_history (input_text, response_text, created_at) VALUES (%s, %s, %s)",
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(prompt, response, datetime.now())
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)
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# Commit the transaction
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st.session_state.conn.commit()
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