Two column layout

app.py

@@ -1,33 +1,64 @@
 from openai import OpenAI
 import streamlit as st
 
-st.title("ChatGPT-like clone")
+st.title("HiddenLayer Chat")
 
 client = OpenAI(api_key=st.secrets["OPENAI_API_KEY"])
 
+col1, col2 = st.columns(2)
+
 if "openai_model" not in st.session_state:
     st.session_state["openai_model"] = "gpt-3.5-turbo"
 
-if "messages" not in st.session_state:
-    st.session_state.messages = []
+if "messages_col_1" not in st.session_state:
+    st.session_state.messages_col_1 = []
+
+if "messages_col_2" not in st.session_state:
+    st.session_state.messages_col_2 = []
+
+for message in st.session_state.messages_col_1:
+    with col1:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
+
+for message in st.session_state.messages_col_2:
+    with col2:
+        with st.chat_message(message["role"]):
+            st.markdown(message["content"])
 
-for message in st.session_state.messages:
-    with st.chat_message(message["role"]):
-        st.markdown(message["content"])
 
 if prompt := st.chat_input("What is up?"):
-    st.session_state.messages.append({"role": "user", "content": prompt})
-    with st.chat_message("user"):
-        st.markdown(prompt)
+    st.session_state.messages_col_1.append({"role": "user", "content": prompt})
+    st.session_state.messages_col_2.append({"role": "user", "content": prompt})
+    with col1:
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+    with col2:
+        with st.chat_message("user"):
+            st.markdown(prompt)
+
+
+    with st.chat_message("assistant"):
+        stream = client.chat.completions.create(
+            model=st.session_state["openai_model"],
+            messages=[
+                {"role": m["role"], "content": m["content"]}
+                for m in st.session_state.messages_col_1
+            ],
+            stream=True,
+        )
+        response = st.write_stream(stream)
+    st.session_state.messages_col_1.append({"role": "assistant", "content": response})
 
     with st.chat_message("assistant"):
         stream = client.chat.completions.create(
             model=st.session_state["openai_model"],
             messages=[
                 {"role": m["role"], "content": m["content"]}
-                for m in st.session_state.messages
+                for m in st.session_state.messages_col_2
             ],
             stream=True,
         )
         response = st.write_stream(stream)
-    st.session_state.messages.append({"role": "assistant", "content": response})
+    st.session_state.messages_col_2.append({"role": "assistant", "content": response})