Update tapas_utils.py

tapas_utils.py

@@ -7,11 +7,6 @@ def initialize_tapas():
     model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-large-finetuned-wtq")
     return tokenizer, model
 
-
-    # ... [same as in your code]
-
-
-    # ... [same as in your code]
 def ask_llm_chunk(tokenizer, model, chunk, questions):
     chunk = chunk.astype(str)
     try:
@@ -66,6 +61,6 @@ def summarize_map_reduce(tokenizer, model, data, questions):
     dataframe_chunks = [deepcopy(chunk) for chunk in np.array_split(dataframe, num_chunks)]
     all_answers = []
     for chunk in dataframe_chunks:
-        chunk_answers = ask_llm_chunk(chunk, questions)
+        chunk_answers = ask_llm_chunk(tokenizer, model, chunk, questions)
         all_answers.extend(chunk_answers)
     return all_answers