Add Usage examples

example.py

@@ -0,0 +1,75 @@
+"""
+Example usage of the ONNX NanoCodec decoder
+"""
+
+import numpy as np
+import onnxruntime as ort
+
+def example_basic_inference():
+    """Basic ONNX inference example"""
+    print("Loading ONNX model...")
+
+    session = ort.InferenceSession(
+        "nano_codec_decoder.onnx",
+        providers=["CUDAExecutionProvider", "CPUExecutionProvider"]
+    )
+
+    print(f"Providers: {session.get_providers()}")
+
+    # Create sample input
+    num_frames = 10
+    tokens = np.random.randint(0, 500, (1, 4, num_frames), dtype=np.int64)
+    tokens_len = np.array([num_frames], dtype=np.int64)
+
+    print(f"\nInput tokens: {tokens.shape}")
+
+    # Run inference
+    outputs = session.run(
+        None,
+        {"tokens": tokens, "tokens_len": tokens_len}
+    )
+
+    audio, audio_len = outputs
+    print(f"Output audio: {audio.shape}")
+    print(f"Audio duration: {audio.shape[1] / 22050:.2f} seconds")
+
+    return audio
+
+
+def example_with_decoder_class():
+    """Example using the decoder class"""
+    from onnx_decoder_optimized import ONNXKaniTTSDecoderOptimized
+
+    print("Initializing decoder...")
+    decoder = ONNXKaniTTSDecoderOptimized(
+        onnx_model_path="nano_codec_decoder.onnx",
+        device="cuda"
+    )
+
+    # Decode multiple frames
+    print("\nDecoding frames...")
+    for i in range(5):
+        codes = [np.random.randint(0, 500) for _ in range(4)]
+        audio = decoder.decode_frame(codes)
+        print(f"  Frame {i+1}: {audio.shape} samples")
+
+    decoder.reset_history()
+    print("✓ Decoding complete")
+
+
+if __name__ == "__main__":
+    print("="*60)
+    print("ONNX NanoCodec Decoder Examples")
+    print("="*60)
+
+    # Example 1
+    print("\n[1/2] Basic inference...")
+    example_basic_inference()
+
+    # Example 2
+    print("\n[2/2] Using decoder class...")
+    example_with_decoder_class()
+
+    print("\n" + "="*60)
+    print("Examples complete!")
+    print("="*60)