Update app.py

app.py

@@ -5,11 +5,11 @@ from sklearn.cluster import KMeans
 
 def cluster_plot(data_text, n_clusters):
     try:
-        # Parse user input
+        # Parse user input[[1,30],[2,32],[3,35]]
         # Expect input like: [[1,30],[2,32],[1.5,31],[5,60]]
         X = np.array(eval(data_text))
         if X.ndim != 2 or X.shape[1] != 2:
-            return " Please enter a 2D list with two columns (e.g. [[1,30],[2,32],[3,35]])", None
+            return " Please enter a 2D list with two columns (e.g. )", None
 
         # KMeans clustering
         kmeans = KMeans(n_clusters=n_clusters, random_state=0)