jskinner215 commited on
Commit
b53a860
·
1 Parent(s): bda63f0

Update ui_utils.py

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  1. ui_utils.py +5 -3
ui_utils.py CHANGED
@@ -72,16 +72,18 @@ def display_query_input(client, selected_class, tokenizer, model): # Added para
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  def query_tapas_with_weaviate_data(client, selected_class, question, tokenizer, model):
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  # Embed the question
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- question_embedding = tapas_utils.embed_table(pd.DataFrame([question], columns=["Question"]))
 
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  # Retrieve the most relevant table
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  table = weaviate_utils.retrieve_relevant_table(client, selected_class, question_embedding)
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- # Convert the table to TAPAS format
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- table = weaviate_utils.convert_to_tapas_format(table)
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  # Call TAPAS with the table and the question
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  answers = tapas_utils.ask_llm_chunk(tokenizer, model, table, [question])
 
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  # Display the answers
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  for answer in answers:
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  st.write(f"Answer: {answer}")
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  def query_tapas_with_weaviate_data(client, selected_class, question, tokenizer, model):
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  # Embed the question
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+ question_embedding = tapas_utils.embed_question(question)
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+
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  # Retrieve the most relevant table
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  table = weaviate_utils.retrieve_relevant_table(client, selected_class, question_embedding)
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+
 
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  # Call TAPAS with the table and the question
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  answers = tapas_utils.ask_llm_chunk(tokenizer, model, table, [question])
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+
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  # Display the answers
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  for answer in answers:
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  st.write(f"Answer: {answer}")
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+