Update app.py

app.py

@@ -53,8 +53,8 @@ def get_embeddings(text, model_type="bert"):
     embeddings = outputs.last_hidden_state[:, 0, :].detach().numpy()  # Get the embeddings for [CLS] token
     return embeddings
 
-# path_to_models = ".."
-path_to_models = os.environ['RAILWAY_VOLUME_MOUNT_PATH']+"/storage"
+path_to_models = "."
+# path_to_models = os.environ['RAILWAY_VOLUME_MOUNT_PATH']+"/storage"
 emotion_classifier_map={
 "Naive Bayes":f"{path_to_models}/models/naive_bayes_model.sav",
 "Logistic Regression":f"{path_to_models}/models/logistic_regression_model.sav",