Update app.py

app.py

@@ -116,18 +116,14 @@ vectordb = Chroma.from_documents(
     persist_directory=persist_directory
 )
 # define retriever
-
 retriever = vectordb.as_retriever(search_kwargs={"k": 2}, search_type="mmr")
 
 class FinalAnswer(BaseModel):
     question: str = Field(description="the original question")
     answer: str = Field(description="the extracted answer")
 
-# Crear una instancia de FinalAnswer
-final_answer_instance = FinalAnswer(question="What is your name?", answer="My name is GPT.")
-
-# Crear una instancia de PydanticOutputParser con final_answer_instance como argumento
-parser = PydanticOutputParser(pydantic_object=final_answer_instance)
+# Assuming you have a parser for the FinalAnswer class
+parser = PydanticOutputParser(pydantic_object=FinalAnswer)
 
 template = """
 Your name is Greta and you are a recycling chatbot with the objective to anwer questions from user in English or Spanish /