Circhastic commited on
Commit
3e41dea
1 Parent(s): 0921718
Files changed (1) hide show
  1. app.py +5 -5
app.py CHANGED
@@ -87,7 +87,7 @@ def date_format(dataframe):
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  def group_to_three(dataframe):
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  dataframe['Date'] = pd.to_datetime(dataframe['Date'])
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  dataframe = dataframe.groupby([pd.Grouper(key='Date', freq='3D')])['Sales'].mean().round(2)
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- dataframe = dataframe.replace(0, pd.np.nan).dropna()
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  return dataframe
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@@ -157,14 +157,14 @@ def sales_growth(dataframe, fittedValues):
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  # TAPAS Model
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  model_name = "google/tapas-large-finetuned-wtq"
 
 
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- def load_tapas_model(model_name):
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- tokenizer = TapasTokenizer.from_pretrained(model_name)
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- model = TapasForQuestionAnswering.from_pretrained(model_name, local_files_only=False)
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  pipe = pipeline("table-question-answering", model=model, tokenizer=tokenizer)
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  return pipe
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- pipe = load_tapas_model(model_name)
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  def get_answer(table, query):
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  answers = pipe(table=table, query=query)
 
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  def group_to_three(dataframe):
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  dataframe['Date'] = pd.to_datetime(dataframe['Date'])
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  dataframe = dataframe.groupby([pd.Grouper(key='Date', freq='3D')])['Sales'].mean().round(2)
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+ dataframe = dataframe.replace(0, np.nan).dropna()
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  return dataframe
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  # TAPAS Model
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  model_name = "google/tapas-large-finetuned-wtq"
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+ tokenizer = TapasTokenizer.from_pretrained(model_name)
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+ model = TapasForQuestionAnswering.from_pretrained(model_name, local_files_only=False)
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+ def load_tapas_model(model, tokenizer):
 
 
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  pipe = pipeline("table-question-answering", model=model, tokenizer=tokenizer)
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  return pipe
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+ pipe = load_tapas_model(model, tokenizer)
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  def get_answer(table, query):
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  answers = pipe(table=table, query=query)