updates app.py

app.py

@@ -9,7 +9,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 model_path = "parsanna17/finetune_starcoder2_with_R_data"
 checkpoint = "bigcode/starcoder2-3b"
 config = PeftConfig.from_pretrained(model_path)
-model = AutoModelForCausalLM.from_pretrained(checkpoint,device=device, torch_dtype=torch.bfloat16)
+model = AutoModelForCausalLM.from_pretrained(checkpoint,device_map=device, torch_dtype=torch.bfloat16)
 model = PeftModel.from_pretrained(model, model_path).to(device)
 tokenizer = AutoTokenizer.from_pretrained(checkpoint)