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Create tapas.py
Browse files- app/tapas.py +33 -0
app/tapas.py
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from transformers import TapasTokenizer, TFTapasForQuestionAnswering, TapexTokenizer, BartForConditionalGeneration
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import pandas as pd
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import datetime
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def execute_query(query, csv_file):
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a = datetime.datetime.now()
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table = pd.read_csv(csv_file.name, delimiter=",")
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table.fillna(0, inplace=True)
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table = table.astype(str)
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model_name = "microsoft/tapex-large-finetuned-wtq"
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model = BartForConditionalGeneration.from_pretrained(model_name)
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tokenizer = TapexTokenizer.from_pretrained(model_name)
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queries = [query]
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encoding = tokenizer(table=table, queries=queries, padding=True, return_tensors="tf",truncated=True)
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outputs = model.generate(**encoding)
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ans = tokenizer.batch_decode(outputs, skip_special_tokens=True)
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query_result = {
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"query": query,
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"answer": ans[0]
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}
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b = datetime.datetime.now()
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print(b - a)
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return query_result, table
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