testing

app.py

@@ -9,9 +9,9 @@ from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
 
 # Constants
 HF_TOKEN = os.environ['HUGGINGFACE_TOKEN']
-MODEL_NAME = "google/gemma-2-2b-it"
+#MODEL_NAME = "google/gemma-2-2b-it"
 #MODEL_NAME = "meta-llama/Llama-3.3-70B-Instruct"
-#MODEL_NAME = "ethicsadvisorproject/Llama-2-7b-ethical-chat-finetune"
+MODEL_NAME = "ethicsadvisorproject/Llama-2-7b-ethical-chat-finetune"
 DB_DIR = 'user_data'  # Directory to store individual user data
 os.makedirs(DB_DIR, exist_ok=True)  # Ensure the directory exists