Update app.py

app.py

@@ -6,11 +6,11 @@ from tf_bodypix.api import download_model, load_model, BodyPixModelPaths
 import numpy as np
 from PIL import Image
 
+# load model
+modelPath = download_model(BodyPixModelPaths.RESNET50_FLOAT_STRIDE_16)
+bodypix_model = load_model(modelPath)
+
 def predict(image):    
-    # load model
-    modelPath = download_model(BodyPixModelPaths.RESNET50_FLOAT_STRIDE_16)
-    bodypix_model = load_model(modelPath)
-    
     # get prediction result
     image_array = tf.keras.preprocessing.image.img_to_array(image)
     result = bodypix_model.predict_single(image_array)