tried gemma-2b again

app.py

@@ -46,8 +46,8 @@ import torch
 # Cache the model and tokenizer to avoid reloading on every run
 # So first run will load and save resources to global cache, and as user interact and causes rerun of load_model_and_tokenizer(), instead of loading again it will directly use cached resources from memory
 def load_model_and_tokenizer():
-    #model_name = "google/gemma-2b"  # using gemma-2b for prototype for my GSOC Proposal. Wish me luck.
-    model_name = "openai-community/gpt2"
+    model_name = "google/gemma-2b"  # using gemma-2b for prototype for my GSOC Proposal. Wish me luck.
+    #model_name = "openai-community/gpt2"
     tokenizer = AutoTokenizer.from_pretrained(model_name)
     # Responsible for automatically downloading and loading the tokenizer configuration and vocabulary associated with the specified pre-trained model.
     # Downloads and loads the tokenizer config and vocab for the given model