indent

app.py

@@ -47,7 +47,7 @@ def model_prediction(path):
     plt.show()
     resize = tf.image.resize(img, (256,256))
     with st.spinner('Model is being loaded..'):
-    model=load_model()
+        model=load_model()
     yhat = model.predict(np.expand_dims(resize/255, 0))
     if(yhat>0.5):
         print("Prediction is loose")