Update app.py

app.py

@@ -11,7 +11,7 @@ def jaccard_coef(y_true, y_pred):
   final_coef_value = (intersection + 1.0) / (K.sum(y_true_flatten) + K.sum(y_pred_flatten) - intersection + 1.0)
   return final_coef_value
     
-model = load_model('/content/drive/MyDrive/S_model.h5',custom_objects=({"jaccard_coef":jaccard_coef}))
+model = load_model('S_model.h5',custom_objects=({"jaccard_coef":jaccard_coef}))
 image = gr.inputs.Image(shape = (256,256))
 def  predict_image(image):
     test_image_input = np.expand_dims(image, 0)