Update app.py

app.py

@@ -6,10 +6,13 @@ learn = load_learner("model.pkl")
 
 def predict(inp:str):
     preds = learn.blurr_predict([inp])[0]
+    
     preds_dict = dict(zip(preds['class_labels'], preds['probs']))
     preds_dict = sorted(preds_dict.items(), key=operator.itemgetter(1), reverse=True)[:5]
+    
     preds_df = pd.DataFrame(preds_dict, columns=['Specialty', 'Probability'])
-
+    preds_df['Probability'] = preds_df['Probability'].apply(lambda x: f"{x*100:.4f}%")
+    
     return preds_df
     
 text = gr.inputs.Textbox()