Update app.py

app.py

@@ -120,9 +120,38 @@ def main():
             loading_message = st.empty()
             loading_message.text('Bot is thinking...')
             
-            # ... (the rest of your existing code for processing the query and displaying the answer)
+            VectorStore = load_pdf(pdf)
+            max_tokens = 120
+            chain = load_chatbot(max_tokens=max_tokens)
+            docs = VectorStore.similarity_search(query=query, k=2)
             
+            with get_openai_callback() as cb:
+                response = chain.run(input_documents=docs, question=query)
+
+            # Post-processing to remove incomplete sentences and redundant information
+            filtered_response = remove_incomplete_sentences(response)
+            filtered_response = remove_redundant_information(filtered_response)
+            
+            st.session_state['chat_history'].append(("Bot", filtered_response, "new"))
+
+            new_messages = st.session_state['chat_history'][-2:]
+            for chat in new_messages:
+                background_color = "#FFA07A" if chat[2] == "new" else "#acf" if chat[0] == "User" else "#caf"
+                new_messages_placeholder.markdown(f"<div style='background-color: {background_color}; padding: 10px; border-radius: 10px; margin: 10px;'>{chat[0]}: {chat[1]}</div>", unsafe_allow_html=True)
+
+            st.write("<script>document.getElementById('response').scrollIntoView();</script>", unsafe_allow_html=True)
+
+            loading_message.empty()
+
+            query = ""
+        else:
+            st.warning("Please upload a PDF file before asking questions.")
+
+        st.session_state['chat_history'] = [(sender, msg, "old") for sender, msg, _ in st.session_state['chat_history']]
+    
+    
     my_component()
 
+
 if __name__ == "__main__":
     main()