Update app.py

app.py

@@ -125,7 +125,7 @@ def load_pdf_text(file_path):
 
 def load_chatbot():
     #return load_qa_chain(llm=OpenAI(), chain_type="stuff")
-    return load_qa_chain(llm=OpenAI(model_name="gpt-3.5-turbo-instruct"), chain_type="stuff")
+    return load_qa_chain(llm=OpenAI(model_name="gpt-3.5-turbo-1106"), chain_type="stuff")
 
 
 def display_chat_history(chat_history):
@@ -311,7 +311,7 @@ def page1():
             # Include the spinner around all processing and display operations
             with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
-                docs = VectorStore.similarity_search(query=query, k=10)
+                docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
                     response = chain.run(input_documents=docs, question=full_query)
                     response = handle_no_answer(response)
@@ -431,7 +431,7 @@ def page2():
             
             with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
-                docs = VectorStore.similarity_search(query=query, k=10)
+                docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
                     response = chain.run(input_documents=docs, question=full_query)
                     response = handle_no_answer(response)  # Process the response through the new function
@@ -554,7 +554,7 @@ def page3():
             
             with st.spinner('Eve denkt über Ihre Frage nach...'):
                 chain = load_chatbot()
-                docs = VectorStore.similarity_search(query=query, k=10)
+                docs = VectorStore.similarity_search(query=query, k=5)
                 with get_openai_callback() as cb:
                     response = chain.run(input_documents=docs, question=full_query)
                     response = handle_no_answer(response)  # Process the response through the new function