Update Demo.py

Demo.py

@@ -63,7 +63,7 @@ def create_pipeline(model):
     .setOutputCol("ner_chunk")
 
     nlpPipeline = Pipeline(stages=[documentAssembler, sentenceDetector, tokenizer, tokenClassifier, ner_converter])
-    return pipeline
+    return nlpPipeline
 
 def fit_data(pipeline, data):
   empty_df = spark.createDataFrame([['']]).toDF('text')