Update tts.py

tts.py

@@ -263,28 +263,3 @@ def generate_onnx(
     result     = torch.tensor(generated_tokens, dtype=torch.long)
     audio_mask = (result >= AUDIO_OFFSET) & (result < AUDIO_OFFSET + NUM_AUDIO_TOKENS)
     return result[audio_mask] - AUDIO_OFFSET
-
-# ══════════════════════════════════════════════════════════════════
-# Quick test
-# ══════════════════════════════════════════════════════════════════
-
-if __name__ == "__main__":
-
-    ONNX_DIR = "onnx_export"
-    DEVICE   = "cpu"
-
-    TEXT = "ภาคนี้แปะลายบนกระจกได้เป็นอะไรที่ดีมากครับ ต่อลายได้แบบงามๆ"
-    
-    onnx_model = OnnxTTSModel(ONNX_DIR, device=DEVICE)
-    codec      = CodecV6(device=DEVICE)
-    ref        = codec.encode(r"F:\RVC\F5-TTS-v2\Sample\KARENKAEDE_TH_C.wav")
-    speaker_emb = ref["global_embedding"].to(DEVICE)
-
-    start_time = time.time()
-    audio_tokens = generate_onnx(
-                onnx_model, TEXT, speaker_emb,
-                300, 0.3, 50, 0.95, 1.1
-            )
-    codec.tokens_to_wav(audio_tokens, speaker_emb, "tts.wav")
-    end_time = time.time()
-    print(f"Time Used:{round(end_time - start_time,2)}")