Create tapas_utils.py

tapas_utils.py

@@ -0,0 +1,14 @@
+from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering
+import pandas as pd
+from io import StringIO
+
+def initialize_tapas():
+    tokenizer = AutoTokenizer.from_pretrained("google/tapas-large-finetuned-wtq")
+    model = AutoModelForTableQuestionAnswering.from_pretrained("google/tapas-large-finetuned-wtq")
+    return tokenizer, model
+
+def ask_llm_chunk(tokenizer, model, chunk, questions):
+    # ... [same as in your code]
+
+def summarize_map_reduce(tokenizer, model, data, questions):
+    # ... [same as in your code]