Update rag.py

rag.py

@@ -59,7 +59,7 @@ class Rag:
 
         prompt_template = """Your task is to create news to a newspaper based on pieces of texts delimited by <> and a question delimited by <>.
                     Do not make up any information, create the news just based on the given information on the pieces of texts delimited by <>.
-                    If the information is not enough to create the news, you can use your knowledge to complete the news.
+                    If the information is not enough to create the news, just say that you need more texts to create the news.
                     The news should have a tittle.
                     The news should be written in a formal language.
                     The news should have between {min_words} and {max_words} words and it should be in portuguese language.
@@ -71,7 +71,7 @@ class Rag:
                                      partial_variables={"min_words": min_words, "max_words": max_words})
 
         self.qa = ConversationalRetrievalChain.from_llm(
-                    llm=ChatOpenAI(model_name="gpt-3.5-turbo",
+                    llm=ChatOpenAI(model_name="gpt-3.5-turbo-1106",
                                    temperature=1,
                                    openai_api_key=os.environ['OPENAI_KEY'],
                                    max_tokens=int(int(max_words) + (int(max_words) / 2))), #número máximo de tokens para a resposta