Upload examples/basic_usage.py with huggingface_hub

examples/basic_usage.py

@@ -19,7 +19,7 @@ def example_1_default_model():
         trust_remote_code=True
     )
     
-    print(f"✓ Model loaded successfully")
+    print(f"[OK] Model loaded successfully")
     print(f"  Config: {model.config}")
     print()
 
@@ -39,7 +39,7 @@ def example_2_variant_by_parameters():
         trust_remote_code=True
     )
     
-    print(f"✓ Model loaded successfully")
+    print(f"[OK] Model loaded successfully")
     print(f"  Data source: 7T-21T")
     print(f"  K neighbors: 1")
     print(f"  Metric: euclidean")
@@ -59,7 +59,7 @@ def example_3_variant_by_name():
         trust_remote_code=True
     )
     
-    print(f"✓ Model loaded: knn_21T_k3_manhattan")
+    print(f"[OK] Model loaded: knn_21T_k3_manhattan")
     print(f"  Config: {model.config}")
     print()
 
@@ -90,7 +90,7 @@ def example_4_make_predictions():
     # Get predictions
     predictions = model(X_sample)
     
-    print(f"✓ Predictions shape: {predictions.shape}")
+    print(f"[OK] Predictions shape: {predictions.shape}")
     print(f"  First 3 predictions: {predictions[:3]}")
     print()
 
@@ -140,11 +140,11 @@ if __name__ == "__main__":
         example_5_compare_models()
         
         print("=" * 60)
-        print("✓ All examples completed successfully!")
+        print("[OK] All examples completed successfully!")
         print("=" * 60)
         
     except Exception as e:
-        print(f"\n❌ Error: {e}")
+        print(f"\n[ERROR] Error: {e}")
         print("\nNote: These examples require the model to be uploaded to")
         print("      Hugging Face Hub at: pcdslab/dom-knn-models")
         print("\nFor local testing, replace the repo ID with a local path.")