Update Demo.py

Demo.py

@@ -70,9 +70,9 @@ def fit_data(pipeline, json_data, question):
     spark_df = spark.createDataFrame([[json_data, question]]).toDF("table_json", "questions")
     model = pipeline.fit(spark_df)
     lightPipelineModel = LightPipeline(model)
-    question
-    json_data
-    result = lightPipelineModel.fullAnnotate([question, json_data])
+    data = f""" table_json:{json_data} questions:{question} """
+    data
+    result = lightPipelineModel.fullAnnotate(data)
     st.write(result)
     return result