Update app.py

app.py

@@ -103,7 +103,7 @@ def decompose_cavity(pred, th2=0.7, amin=10):
     data = np.array([X,Y]).reshape(2, -1)
 
     # DBSCAN CLUSTERING ALGORITHM
-    try: clusters = DBSCAN(eps=1.5, min_samples=3).fit(data.T).labels_
+    try: clusters = DBSCAN(eps=1.0, min_samples=3).fit(data.T).labels_
     except: clusters = []
 
     N = len(set(clusters))
@@ -170,6 +170,7 @@ if uploaded_file is not None:
     col1.subheader("Input image")
     col3.subheader("Prediction")
     col5.subheader("Decomposed")
+    col6.subheader("")
     
     with col1: