Update app.py

app.py

@@ -1,6 +1,7 @@
 import numpy as np
 import gradio as gr
 
+
 def homework01_solution1(K, X1, X2):
 
   K = int(K)
@@ -26,19 +27,23 @@ def homework01_solution1(K, X1, X2):
 
   for i in range(K):
     idx = nb_indice[0][i]
-    fea = X[idx]
+    fea = X[idx].tolist()
+    fea = '({})'.format(', '.join(map(str, fea)))
+
     dist = nb_dist[0][i]
     label = y[idx]
 
     #print(idx, fea, dist, label)
 
     # Dictionary to append
-    new_data = {'Rank of closest neighbor': idx, 'Features (X_1,X_2)':fea, 	'Label (Y)':label , 	'Distance to query data': dist}
-    #print(new_data)
+    new_data = {'Rank of closest neighbor': idx, 'Features (X_1,X_2)': fea, 	'Label (Y)':label , 	'Distance to query data': dist}
+    tmp = pd.DataFrame(new_data, index=[0])
     # Append dictionary to DataFrame
-    results = results.append(new_data, ignore_index=True)
+    #data = data.append(new_data, ignore_index=True)
+    results = pd.concat([results, tmp], ignore_index=True)
 
   results = results.sort_values(by='Rank of closest neighbor')
+  results
   
   return results, predicted_label