Update app.py

app.py

@@ -15,10 +15,10 @@ mp_drawing = mp.solutions.drawing_utils
 # Load the Hugging Face model and tokenizer
 model_name = "dima806/yoga_pose_image_classification"
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
-tokenizer = AutoTokenizer.from_pretrained(model_name)
 
 # Yoga Pose Classification Function using Hugging Face model
-def classify_pose(landmarks):
+
+    def classify_pose(landmarks):
     # Prepare input for the model
     landmark_list = [landmark.x for landmark in landmarks] + [landmark.y for landmark in landmarks] + [landmark.z for landmark in landmarks]
     inputs = tokenizer(landmark_list, return_tensors="pt")