Upload app.py

app.py

@@ -7,8 +7,8 @@ device = "cpu"
 print(f"Using device: {device}")
 
 # Load the fine-tuned Phi-2 model in 4-bit quantization with CPU support
-#model_name = "./fine-tuned-phi2"
-model_name = "microsoft/phi-2
+
+model_name = "Monimoy/phi2-openassistant-lora-final"
 model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float32, device_map={"": device})
 
 # Load tokenizer
@@ -23,7 +23,7 @@ def generate_response(prompt):
 
 # Define example prompts
 examples = [
-    ["What is the capital of France?"],
+    ["What is machine learning?"],
     ["Explain quantum mechanics in simple terms."],
     ["Write a short story about a robot discovering emotions."],
     ["Summarize the theory of relativity."]