Update app.py

app.py

@@ -62,35 +62,18 @@ for message in st.session_state.messages:
 
 prompt = st.chat_input("What kind of class are you looking for?")
 
-if st.button("Submit"):
-    with st.chat_message("user"):
-        st.markdown(prompt)
-    st.session_state.message.append({"role": "user", "content": prompt})
-
-    response = filter_agent(prompt, OPENAI_API)
-    query = response
-
-    response = index.query(
-        vector= embeddings.embed_query(query),
-        # filter= build_filter(json),
-        top_k=5,
-        include_metadata=True
-    )
-    response = reranker(query, response)
-    result_query = 'Original Query:' + query + 'Query Results:' + str(response)
-    final_response = result_agent(result_query, OPENAI_API)
-
-    ### GPT Response
-    # Display assistant response in chat message container
-    with st.chat_message("assistant"):
-        message_placeholder = st.empty()
-        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(final_response)
-    # Add assistant response to chat history
-    st.session_state.messages.append({"role": "assistant", "content": final_response})
+
+### GPT Response
+# Display assistant response in chat message container
+with st.chat_message("assistant"):
+    message_placeholder = st.empty()
+    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(final_response)
+# Add assistant response to chat history
+st.session_state.messages.append({"role": "assistant", "content": final_response})