Upload app.py

app.py

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+import streamlit as st
+from dotenv import load_dotenv
+from langchainAI import get_langchain_response
+
+load_dotenv()
+st.set_page_config(page_title="Conversation helper")
+st.header("Let's talk! :)")
+
+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("How can I help?"):
+    
+    st.session_state.messages.append({"role": "user", "content": prompt})
+    
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    
+    with st.chat_message("assistant"):
+        with st.spinner("Thinking..."):
+            response = get_langchain_response(prompt)
+            st.write(response)
+
+    # Update chat history with assistant's response
+    message = {"role": "assistant", "content": response}
+    st.session_state.messages.append(message)