Update app.py

app.py

@@ -1,30 +1,31 @@
-import streamlit as st
-from rag_retriever import initialize_llm, initialize_pinecone, create_query_engine, get_response
-
-# Initialize LLM and Pinecone
-initialize_llm()
-index = initialize_pinecone()
-query_engine = create_query_engine(index)
-
-# Create a Streamlit app
-st.title("KYC SUD CONSULTING Chatbot")
-st.markdown("### Ask me anything about our company!")
-
-# Create a text input field for the user to enter their query
-query = st.text_area("Your Question:", "", height=100)
-
-# Create a button to trigger the response generation
-if st.button("Get Answer"):
-    # Get the response from the query engine
-    response = get_response(query_engine, query)
-    # Display the response
-    st.write("### Response:")
-    st.write(response)
-
-# Add some whitespace to make the app look more spacious
-st.write("\n\n")
-
-# Add a footer with some text
-st.markdown("### Powered by KYC SUD CONSULTING")
-
-
+import streamlit as st
+from rag_retriever import initialize_llm, initialize_pinecone, create_query_engine, get_response
+
+# Initialize LLM and Pinecone
+initialize_llm()
+index = initialize_pinecone()
+query_engine = create_query_engine(index)
+
+# Create a Streamlit app
+st.title("KYC SUD CONSULTING Chatbot")
+
+# Create a chatbot-like interface
+with st.form("chat_form"):
+    user_input = st.text_area("Your Question:", "", height=100, placeholder="Type your question here...")
+    submit_button = st.form_submit_button("Send")
+
+# Create a container to display the conversation
+conversation_container = st.container()
+
+# Display the conversation
+if submit_button:
+    response = get_response(query_engine, user_input)
+    with conversation_container:
+        st.write("You: " + user_input)
+        st.write("Bot: " + response)
+
+
+        
+st.markdown("### Powered by KYC SUD CONSULTING")
+
+