Update app.py

app.py

@@ -27,12 +27,12 @@ def load_pdf_and_generate_embeddings(pdf_doc, open_ai_key):
         #Finally, we create the bot using the RetrievalQAChain class
         global pdf_qa
 
-        prompt_template = """Use the following pieces of context to answer the question at the end. If you do not know the answer, just return the question followed by N/A. If you encounter a date, return it in mm/dd/yyyy format.
+        prompt_template = """Use the following pieces of context to answer the question at the end. If you do not know the answer, just return N/A. If you encounter a date, return it in mm/dd/yyyy format.
 
         {context}
 
         Question: {question}
-        Return the key fields from the question followed by : and the answer :"""
+        Return just the answer :"""
         PROMPT = PromptTemplate(template=prompt_template, input_variables=["context", "question"])
         chain_type_kwargs = {"prompt": PROMPT}
         pdf_qa = RetrievalQA.from_chain_type(llm=ChatOpenAI(temperature=0, model_name="gpt-4"),chain_type="stuff", retriever=vectordb.as_retriever(search_kwargs={"k": 5}), chain_type_kwargs=chain_type_kwargs, return_source_documents=False)