diff --git a/GPT_SoVITS/stream_v2pro.py b/GPT_SoVITS/stream_v2pro.py
index e80293b7..0e615a7e 100644
--- a/GPT_SoVITS/stream_v2pro.py
+++ b/GPT_SoVITS/stream_v2pro.py
@@ -566,18 +566,42 @@ def export_prov2(
     torch.jit.trace_module(vits, inputs=inputs, optimize=True).save(f"{output_path}/vits.pt")
     torch.jit.script(find_best_audio_offset_fast, optimize=True).save(f"{output_path}/find_best_audio_offset_fast.pt")
 
+import argparse
+import os
 
 if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="GPT-SoVITS Command Line Tool")
+    parser.add_argument("--gpt_model", required=True, help="Path to the GPT model file")
+    parser.add_argument(
+        "--sovits_model", required=True, help="Path to the SoVITS model file"
+    )
+    parser.add_argument(
+        "--ref_audio", required=True, help="Path to the reference audio file"
+    )
+    parser.add_argument(
+        "--ref_text", required=True, help="Path to the reference text file"
+    )
+    parser.add_argument(
+        "--output_path", required=True, help="Path to the output directory"
+    )
+    parser.add_argument("--device", help="Device to use", default="cuda" if torch.cuda.is_available() else "cpu")
+    parser.add_argument("--version", help="version of the model", default="v2Pro")
+    parser.add_argument("--no-half", action="store_true", help = "Do not use half precision for model weights")
+
+    args = parser.parse_args()
+
+    if not os.path.exists(args.output_path):
+        os.makedirs(args.output_path)
+
+    is_half = not args.no_half
     with torch.no_grad():
-        test_stream(
-            gpt_path="GPT_SoVITS/pretrained_models/s1v3.ckpt",
-            vits_path="GPT_SoVITS/pretrained_models/v2Pro/s2Gv2Pro.pth",
-            version="v2Pro",
-            # ref_audio_path="/mnt/g/ad_ref.wav",
-            # ref_text="你这老坏蛋，我找了你这么久，真没想到在这里找到你。他说.",
-            ref_audio_path="output/denoise_opt/ht/ht.mp4_0000026560_0000147200.wav",
-            ref_text='说真的，这件衣服才配得上本小姐嘛',
-            output_path="streaming",
-            device="cuda",
-            is_half=True,
+        export_prov2(
+            gpt_path=args.gpt_model,
+            vits_path=args.sovits_model,
+            version=args.version,
+            ref_audio_path=args.ref_audio,
+            ref_text=args.ref_text,
+            output_path=args.output_path,
+            device=args.device,
+            is_half=is_half,
         )