path

app.py

@@ -42,7 +42,7 @@ file = st.file_uploader("Upload an X-ray image", type= ['png', 'jpg'])
 #     return result
 
 def model_prediction(path):
-    resize = tf.image.resize(img, (256,256))
+    resize = tf.image.resize(path, (256,256))
     with st.spinner('Model is being loaded..'):
         model=load_model()
     yhat = model.predict(np.expand_dims(resize/255, 0))