Update app.py

app.py

@@ -120,37 +120,9 @@ def main():
             loading_message = st.empty()
             loading_message.text('Bot is thinking...')
             
-            VectorStore = load_pdf(pdf)
-            max_tokens = 120
-            chain = load_chatbot(max_tokens=max_tokens)
-            docs = VectorStore.similarity_search(query=query, k=2)
+            # ... (the rest of your existing code for processing the query and displaying the answer)
             
-            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()
+    main()