Update app.py

app.py

@@ -8,7 +8,7 @@ torch.random.manual_seed(0)
 
 # Load the model without specifying 'device_map' for CPU usage
 model = AutoModelForCausalLM.from_pretrained(
-    "AdnanRiaz107/CodePhi-3-Mini-1K4bit",
+    "AdnanRiaz107/CodePhi-3-mini-0.1Klora",
     torch_dtype="auto",  # Use auto for dtype selection
     trust_remote_code=True,
     attn_implementation='eager',
@@ -16,7 +16,7 @@ model = AutoModelForCausalLM.from_pretrained(
 )
 
 # Load the tokenizer
-tokenizer = AutoTokenizer.from_pretrained("AdnanRiaz107/CodePhi-3-Mini-1K4bit")
+tokenizer = AutoTokenizer.from_pretrained("AdnanRiaz107/CodePhi-3-mini-0.1Klora")
 
 # Create a text generation pipeline
 pipe = pipeline(