Update app.py

app.py

@@ -281,8 +281,8 @@ def get_example():
   np.random.seed(seed = 42)
 
   N=100
-  pd_class1 = pd.DataFrame({'Sample Index': [i for i in range(1,int(N/4)+1)],'Predicted Prob': np.random.uniform(0.6,1,int(N/4)), 'Label (Y)': np.repeat(1,int(N/4))})
-  pd_class2 = pd.DataFrame({'Sample Index': [i for i in range(int(N/4)+1,N+1)],'Predicted Prob': np.random.uniform(0,0.8,int(3*N/4)), 'Label (Y)': np.repeat(0,int(3*N/4))})
+  pd_class1 = pd.DataFrame({'Sample Index': [i for i in range(1,int(N/4)+1)],'Predicted Prob': np.random.uniform(0.8,1,int(N/4)), 'Label (Y)': np.repeat(1,int(N/4))})
+  pd_class2 = pd.DataFrame({'Sample Index': [i for i in range(int(N/4)+1,N+1)],'Predicted Prob': np.random.uniform(0,0.7,int(3*N/4)), 'Label (Y)': np.repeat(0,int(3*N/4))})
 
    
   pd_all = pd.concat([pd_class1, pd_class2]).reset_index(drop=True)