app20

app.py

@@ -83,7 +83,6 @@ Your name is AngryGreta and you are a recycling chatbot with the objective to an
 Use the following pieces of context to answer the question /
 Answer in the same language of the question /
 Context: {context}
-Chat history: {chat_history}
 User: {question}
 {format_instructions}
 """
@@ -93,7 +92,6 @@ sys_prompt = SystemMessagePromptTemplate.from_template(template)
 qa_prompt = ChatPromptTemplate(
     messages=[
         sys_prompt,
-        MessagesPlaceholder(variable_name="chat_history"),
         HumanMessagePromptTemplate.from_template("{question}")],
     partial_variables={"format_instructions": parser.get_format_instructions()}
 )
@@ -108,17 +106,14 @@ llm = HuggingFaceHub(
     },
 )
 
-memory = ConversationBufferMemory(llm=llm, memory_key="chat_history", input_key='question', output_key='output', return_messages=True)
-
 qa_chain = ConversationalRetrievalChain.from_llm(
     llm = llm,
-    condense_question_prompt = qa_prompt,
-    memory = memory,
+    memory = ConversationBufferMemory(llm=llm, memory_key="chat_history", input_key='question', output_key='output'),
     retriever = retriever,
     verbose = True,
     combine_docs_chain_kwargs={'prompt': qa_prompt},
     get_chat_history = lambda h : h,
-    rephrase_question = True,
+    rephrase_question = False,
     output_key = 'output',
 )