Update app.py

app.py

@@ -1,21 +1,41 @@
 import gradio as gr
+from sparknlp.base import *
+from sparknlp.annotator import *
+from sparknlp.pretrained import PretrainedPipeline
 import sparknlp
 
 print("Sparknlp Version: " + sparknlp.version())
 
-
+# Start SparkSession with Spark NLP
+# start() functions has 4 parameters: gpu, spark23, spark24, and memory
+# sparknlp.start(gpu=True) will start the session with GPU support
+# sparknlp.start(spark23=True) is when you have Apache Spark 2.3.x installed
+# sparknlp.start(spark24=True) is when you have Apache Spark 2.4.x installed
+# sparknlp.start(memory="16G") to change the default driver memory in SparkSession
 spark = sparknlp.start()
 
+# Download a pre-trained pipeline
+pipeline = PretrainedPipeline('explain_document_dl', lang='en')
+
+# Your testing dataset
+placeholder = """
+The Mona Lisa is a 16th century oil painting created by Leonardo.
+It's held at the Louvre in Paris.
+"""
+
 print(spark)
 
-def greet(name):
-  return "Hello " + name + "!!"
+def fn(text: str):
+  result = pipeline.annotate(text)
+  return result
 
 iface = gr.Interface(
-  fn=greet,
+  fn=fn,
   inputs="text",
-  outputs="text",
+  outputs="json",
+  title="Spark NLP explain_document_dl pipeline"
   description=f"Spark object: {spark}",
+  examples=[placeholder],
 )
 
 if __name__ == "__main__":