app19

app.py

@@ -72,7 +72,7 @@ vectordb = Chroma.from_documents(
 retriever = vectordb.as_retriever(search_kwargs={"k": 1}, search_type="mmr")
 
 class FinalAnswer(BaseModel):
-    question: str = Field(description="the original question")
+    query: str = Field(description="the original query")
     answer: str = Field(description="the extracted answer")
 
 # Assuming you have a parser for the FinalAnswer class
@@ -80,8 +80,8 @@ parser = PydanticOutputParser(pydantic_object=FinalAnswer)
 
 template = """
 Your name is AngryGreta and you are a recycling chatbot with the objective to anwer querys from user in English or Spanish /
-Use the following pieces of context to answer the question /
-Answer in the same language of the question /
+Use the following pieces of context to answer the query /
+Answer in the same language of the query /
 Context: {context}
 Chat history: {chat_history}
 User: {query}
@@ -94,7 +94,7 @@ qa_prompt = ChatPromptTemplate(
     messages=[
         sys_prompt,
         MessagesPlaceholder(variable_name="chat_history"),
-        HumanMessagePromptTemplate.from_template("{question}")],
+        HumanMessagePromptTemplate.from_template("{query}")],
     partial_variables={"format_instructions": parser.get_format_instructions()}
 )
 llm = HuggingFaceHub(