Create app.py

app.py

@@ -0,0 +1,13 @@
+import torch
+
+lora_path = "lora_trained_model.pt"
+
+if os.path.exists(lora_path):
+    try:
+        state_dict = torch.load(lora_path, map_location="cpu")
+        print("✅ LoRA checkpoint loaded successfully!")
+        print("Keys in the checkpoint:", state_dict.keys())  # Print available keys
+    except Exception as e:
+        print(f"❌ Error loading LoRA checkpoint: {e}")
+else:
+    print("❌ LoRA file not found.")