Update app.py

app.py

@@ -77,7 +77,7 @@ def predict(ash_image, model=model):
     im_mean = round(im.mean(),4)
     print(im_mean)
     if im_mean in images_means:
-        im = np.load('images/' + images_means[im_mean])
+        im = np.load('numpy_files/' + images_means[im_mean])
 
     y_pred = model.predict(im.reshape(1,256, 256, 3))
     prediction = np.argmax(y_pred[0], axis=2).reshape(256,256)