Update app.py

app.py

@@ -54,42 +54,41 @@ units = st.slider(
 )
 
 
-# for message in st.session_state.messages:
-#     with st.chat_message(message["role"]):
-#         st.markdown(message["content"])
-
-
-
 assistant = st.chat_message("assistant")
 initial_message = "How can I help you today?"
 
-def assistant_response(response):
-    message_placeholder = assistant.empty()
-    full_response = ""
-    assistant_response = response
-    # 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})
-
 if "messages" not in st.session_state:
     st.session_state.messages = []
-    assistant_response(initial_message)
-
-
+    with st.chat_message("assistant"):
+        st.markdown(initial_message)
+    st.session_state.messages.append({"role": "assistant", "content": initial_message})
+    
 
 if prompt := st.chat_input("What kind of class are you looking for?"):
     st.session_state.messages.append({"role": "user", "content": prompt})
-    assistant_response("Yah I'm tired af right now boi")
-    
-    for message in st.session_state.messages:
-        with st.chat_message(message["role"]):
+    with st.chat_message("user"):
             st.markdown(message["content"])
+
+    with st.chat_message("assistant"):
+        message_placeholder = st.empty()
+        full_response = ""
+        response = filter_agent(prompt, OPENAI_API)
+        query = response
+        response = index.query(
+            vector = embeddings.embed_query(query),
+            top_k = 25,
+            include_metadata = True
+        )
+        response = reranker(query, response)
+        result_query = 'Original Query:' + query + 'Query Results:' + str(response)
+        assistant_response = results_agent(result_query, OPENAI_API)
+        
+        for chunk in assistant_response.split():
+            full_response += chunk + " "
+            time.sleep(0.05)
+            message_placeholder.markdown(full_response + "▌")
+        message_placeholder.markdown(full_response)
+        st.session_state.messages.append({"role": "assistant", "content": full_response})