Update app.py

app.py

@@ -23,12 +23,12 @@ quantization_config = BitsAndBytesConfig(
 )
 
 model = AutoModelForCausalLM.from_pretrained(
-    "./results/checkpoint-639",           # Replace with your model path or Hugging Face model name
+    "Gopikanth123/llama2_model",           # Replace with your model path or Hugging Face model name
     quantization_config=quantization_config,
     device_map="auto"                # Automatically distribute across devices
 )
 
-tokenizer = AutoTokenizer.from_pretrained("./results/checkpoint-639/")
+tokenizer = AutoTokenizer.from_pretrained("Gopikanth123/llama2_model")
 
 # Create a text generation pipeline
 generator = pipeline("text-generation", model=model, tokenizer=tokenizer)