add files

app.py

@@ -31,14 +31,14 @@ def preprocess_image(img_array):
     # Convert to 3-channel
     img_array = np.stack((img_array, img_array, img_array), axis=-1)
     # Convert to array
-    img_array = cv2.resize(img_array, (224, 224))
+    img_array = cv2.resize(img_array, (256, 256))
     return img_array
 
 
 def inference(img):
     img = preprocess_image(img)
-    preds = model.predict(img)
     img = np.expand_dims(img, 0)
+    preds = model.predict(img)
     # Predict
     preds = model.predict(img)[0]
     labels_probs = {labels[i]: float(preds[i]) for i, _ in enumerate(labels)}