add: tensorrt backend to server

run_server.py

@@ -1,5 +1,23 @@
+import argparse
 from whisper_live.server import TranscriptionServer
 
 if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--backend', type=str, default='tensorrt', help='Backends from ["tensorrt", "faster_whisper"]')
+    parser.add_argument('--whisper_tensorrt_path',
+                        type=str,
+                        default="/root/TensorRT-LLM/examples/whisper/whisper_small_en",
+                        help='Whisper TensorRT model path')
+    args = parser.parse_args()
+
+    if args.backend == "tensorrt":
+        if args.whisper_tensorrt_path is None:
+            raise ValueError("Please Provide a valid tensorrt model path")
+        
+        from whisper_live.server_tensorrt import TranscriptionServerTRT
+
+        server = TranscriptionServerTRT()
+        server.run("0.0.0.0", port=6006, whisper_tensorrt_path=args.whisper_tensorrt_path)
+    else:
         server = TranscriptionServer()
         server.run("0.0.0.0")