Update app.py

app.py

@@ -12,10 +12,10 @@ import json
 app = Flask(__name__)
 
 # Load model and data at startup
-# model = tf.keras.models.load_model("/data/app/sneaker_category_predictor_v2.h5")
-model_path = hf_hub_download(repo_id="thejagstudio/SneakerAI", filename="sneaker_category_predictor_v2.h5", repo_type="model")
+model = tf.keras.models.load_model("./sneaker_category_predictor_v2.keras")
+# model_path = hf_hub_download(repo_id="thejagstudio/SneakerAI", filename="sneaker_category_predictor_v2.h5", repo_type="model")
 # model = tf.keras.models.load_model(model_path)
-model = load_model(model_path)
+# model = load_model(model_path)
 
 # Define expected columns for one-hot encoding
 with open("metadata.json", "r") as f: