Update app.py

app.py

@@ -58,8 +58,8 @@ model.compile(metrics=metrics)
 def predict(ash_image, model=model):
     #label = np.load(label_image)
     print(ash_image)
-    ash_image = np.load('images/552609781892851211.npy')
-    #ash_image = np.asarray(ash_image)
+    # ash_image = np.load('images/552609781892851211.npy')
+    ash_image = ash_image
     y_pred = model.predict(ash_image.reshape(1,256, 256, 3))
     prediction = np.argmax(y_pred[0], axis=2).reshape(256,256)
     #intersection = label & prediction