Update Demo.py

Demo.py

@@ -66,13 +66,6 @@ def create_pipeline(model):
     pipeline = Pipeline(stages=[document_assembler, sentence_detector, table_assembler, tapas_wtq, tapas_sqa])
     return pipeline
 
-def fit_data(pipeline, data):
-  empty_df = spark.createDataFrame([['']]).toDF('text')
-  pipeline_model = pipeline.fit(empty_df)
-  model = LightPipeline(pipeline_model)
-  result = model.fullAnnotate(data)
-  return result
-
 def fit_data(pipeline, json_data, question):
     spark_df = spark.createDataFrame([[json_data, question]]).toDF("table_json", "questions")
     model = pipeline.fit(spark_df)