saved the image so that it wouldnt be needed to downloaded repeatedly

load_model.py

@@ -29,6 +29,7 @@ def load_image(image_path):
     img = tf.io.read_file(image_path)
     img = tf.io.decode_jpeg(img, channels=3)
     img = tf.image.resize(img, IMAGE_SHAPE[:-1])
+    pickle.dump(img, open("test_run_img", wb))
     return img
 
 def load_image_obj(img):
@@ -348,7 +349,6 @@ def build():
     
     path = "model/captioner_weights"
     load_model.load_weights(path)
-    print(load_model.simple_gen(image))
     return load_model
 
 # loaded_model = build()