Update app.py

app.py

@@ -3,6 +3,9 @@ from transformers import pipeline
 from PIL import Image
 from datetime import time
 
+if "messages" not in st.session_state:
+    st.session_state.messages = []
+
 
 st.title("USC GPT - Find the perfect class")
 
@@ -16,4 +19,35 @@ units = st.slider(
     "Number of units",
     1, 4,
     value = (1, 4)
-)
+)
+
+
+for message in st.session_state.messages:
+    with st.chat_message(message["role"]):
+        st.markdown(message["content"])
+
+if prompt := st.chat_input("What kind of class are you looking for?"):
+    # Display user message in chat message container
+    with st.chat_message("user"):
+        st.markdown(prompt)
+    # Add user message to chat history
+    st.session_state.messages.append({"role": "user", "content": prompt})
+
+
+
+### GPT Response
+# Display assistant response in chat message container
+with st.chat_message("assistant"):
+    message_placeholder = st.empty()
+    full_response = ""
+    assistant_response = "Hello there! How can I assist you today?"
+    )
+    # Simulate stream of response with milliseconds delay
+    for chunk in assistant_response.split():
+        full_response += chunk + " "
+        time.sleep(0.05)
+        # Add a blinking cursor to simulate typing
+        message_placeholder.markdown(full_response + "▌")
+    message_placeholder.markdown(full_response)
+# Add assistant response to chat history
+st.session_state.messages.append({"role": "assistant", "content": full_response})