ArturG9 commited on
Commit
36b9a37
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1 Parent(s): eb4cfc8

Update app.py

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Files changed (1) hide show
  1. app.py +4 -2
app.py CHANGED
@@ -95,6 +95,7 @@ def main():
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  st.header("Chat with multiple Lithuanian Law Documents:" ":books:")
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  st.markdown("Available Documents: LR_Civil_Code_2022, LR_Constitution_2022, LR_Criminal_Code_2018, LR_Criminal_Procedure_code_2022,LR_Labour_code_2010. P.S it's a shame that there are no newest documents translations... ")
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  if "messages" not in st.session_state:
@@ -102,7 +103,7 @@ def main():
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  {"role": "assistant", "content": "Hi, I'm a chatbot who is based on respublic of Lithuania law documents. How can I help you?"}
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  ]
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- st.markdown("Hi, I am Birute, chat assistant, based on republic of Lithuania law documents. You can choose below information retrieval type and how many documents you want to be retrieved.")
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  search_type = st.selectbox(
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  "Choose search type. Options are [Max marginal relevance search (similarity) , Similarity search (similarity). Default value (mmr)]",
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  options=["mmr", "similarity"],
@@ -176,8 +177,9 @@ def create_conversational_rag_chain(retriever):
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  verbose=False,
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  )
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- template = """Answer the question in a natural language, based only on context:
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  {context}. Be consise.
 
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  Question: {question}
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  st.header("Chat with multiple Lithuanian Law Documents:" ":books:")
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+ st.markdown("Hi, I am Birute (Powered by qwen2-1_5b model), chat assistant, based on republic of Lithuania law documents. You can choose below information retrieval type and how many documents you want to be retrieved.")
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  st.markdown("Available Documents: LR_Civil_Code_2022, LR_Constitution_2022, LR_Criminal_Code_2018, LR_Criminal_Procedure_code_2022,LR_Labour_code_2010. P.S it's a shame that there are no newest documents translations... ")
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  if "messages" not in st.session_state:
 
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  {"role": "assistant", "content": "Hi, I'm a chatbot who is based on respublic of Lithuania law documents. How can I help you?"}
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  ]
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+
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  search_type = st.selectbox(
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  "Choose search type. Options are [Max marginal relevance search (similarity) , Similarity search (similarity). Default value (mmr)]",
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  options=["mmr", "similarity"],
 
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  verbose=False,
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  )
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+ template = """Answer the question in a natural English language, based only on context:
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  {context}. Be consise.
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+ If you dont know the answer say: "Sorry, but i dont know the answer".
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  Question: {question}
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