Update app.py

app.py

@@ -15,7 +15,7 @@ explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
 # Create the main function for server
 def main_func(RewardsBenefit2,JobSatisfaction,RecommendToWork,Tenure,Generation,LearningDevelopment1):
     new_row = pd.DataFrame.from_dict({'RewardsBenefit2':RewardsBenefit2,'JobSatisfaction':JobSatisfaction,
-              'RecommendToWork':RecommentToWork,'Tenure':Tenure,'Generation':Generation,
+              'RecommendToWork':RecommendToWork,'Tenure':Tenure,'Generation':Generation,
               'LearningDevelopment1':LearningDevelopment1}, orient = 'index').transpose()
     
     prob = loaded_model.predict_proba(new_row)
@@ -64,13 +64,15 @@ with gr.Blocks(title=title) as demo:
         
             submit_btn.click(
                 main_func,
-                [RewardsBenefit2,JobSatisfcation,RecommendToWork,Tenure,Generation,LearningDevelopment1],
+                [RewardsBenefit2,JobSatisfaction,RecommendToWork,Tenure,Generation,LearningDevelopment1],
                 [label,local_plot], api_name="Employee_Turnover"
             )
     
     gr.Markdown("### Click on any of the examples below to see how it works:")
     gr.Examples([[4,4,4,4,5,5], [5,4,5,4,4,4]], 
-                [RewardsBenefit2,JobSatisfcation,RecommendToWork,Tenure,Generation,LearningDevelopment1], 
+                [RewardsBenefit2,JobSatisfaction,RecommendToWork,Tenure,Generation,LearningDevelopment1], 
                 [label,local_plot], main_func, cache_examples=True)
 
+demo.launch(share=True)
+
 demo.launch(share=True)