Update app.py

app.py

@@ -24,14 +24,14 @@ if not torch.cuda.is_available():
     device = torch.device("cpu")
 else:
     device = torch.device("cuda")
-    model_id = "deepseek-ai/deepseek-coder-33b-instruct"
+    model_id = "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct"
     model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.bfloat16, device_map="auto")
     tokenizer = AutoTokenizer.from_pretrained(model_id)
     tokenizer.use_default_system_prompt = False
 
 # Fallback to CPU for model loading if CUDA is unavailable
 if not torch.cuda.is_available():
-    model_id = "deepseek-ai/deepseek-coder-33b-instruct"
+    model_id = "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct"
     model = AutoModelForCausalLM.from_pretrained(model_id, device_map="cpu")
     tokenizer = AutoTokenizer.from_pretrained(model_id)