typo on transformer fixed and model train is made false forciblt

app.py

@@ -3,7 +3,7 @@ import torch
 import torch.nn.functional as F
 import tiktoken
 from huggingface_hub import hf_hub_download
-from transformer import GPT, GPTConfig  # Import your model class
+from transformerg import GPT, GPTConfig  # Import your model class
 
 # Load the model from Hugging Face Hub
 device = 'cuda' if torch.cuda.is_available() else 'cpu'
@@ -17,11 +17,19 @@ def load_model_from_hf():
     model = GPT(config)
     model.load_state_dict(checkpoint['model_state_dict'])
     model.to(device)
-    model.eval()
+    model.eval()  # Set to evaluation mode
+    
+    # Disable gradient computation
+    for param in model.parameters():
+        param.requires_grad = False
+        
     return model
 
 model = load_model_from_hf()
 
+# Force model to stay in eval mode
+model.train(False)
+
 def generate_text(prompt, max_length=100, num_samples=1, temperature=0.8):
     enc = tiktoken.get_encoding('gpt2')
     tokens = enc.encode(prompt)