diff --git a/myinfer.py b/myinfer.py
new file mode 100644
index 0000000..7ced3fc
--- /dev/null
+++ b/myinfer.py
@@ -0,0 +1,79 @@
+import os,sys,pdb,torch
+f0up_key=sys.argv[1]
+input_path=sys.argv[2]
+index_path=sys.argv[3]
+npy_path=sys.argv[4]
+opt_path=sys.argv[5]
+model_path=sys.argv[6]
+print(sys.argv)
+sys.argv=['myinfer.py']
+now_dir=os.getcwd()
+sys.path.append(now_dir)
+from vc_infer_pipeline import VC
+from infer_pack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid_nono
+from my_utils import load_audio
+from fairseq import checkpoint_utils
+from scipy.io import wavfile
+
+
+# f0up_key=0
+# input_path=r"E:\codes\py39\RVC-beta\todo-songs\1111.wav"
+# index_path=r"E:\codes\py39\logs\mi-test\added_IVF677_Flat_nprobe_7.index"
+# npy_path  =r"E:\codes\py39\logs\mi-test\total_fea.npy"
+# opt_path  ="test.wav"
+# model_path="mi-test.pth"
+
+
+
+hubert_model=None
+is_half=False
+device="cuda"
+def load_hubert():
+    global hubert_model
+    models, saved_cfg, task = checkpoint_utils.load_model_ensemble_and_task(["hubert_base.pt"],suffix="",)
+    hubert_model = models[0]
+    hubert_model = hubert_model.to(device)
+    if(is_half):hubert_model = hubert_model.half()
+    else:hubert_model = hubert_model.float()
+    hubert_model.eval()
+
+
+def vc_single(sid,input_audio,f0_up_key,f0_file,f0_method,file_index,file_big_npy,index_rate):#spk_item, input_audio0, vc_transform0,f0_file,f0method0
+    global tgt_sr,net_g,vc,hubert_model
+    if input_audio is None:return "You need to upload an audio", None
+    f0_up_key = int(f0_up_key)
+    audio=load_audio(input_audio,16000)
+    times = [0, 0, 0]
+    if(hubert_model==None):load_hubert()
+    if_f0 = cpt.get("f0", 1)
+    audio_opt=vc.pipeline(hubert_model,net_g,sid,audio,times,f0_up_key,f0_method,file_index,file_big_npy,index_rate,if_f0,f0_file=f0_file)
+    print(times)
+    return audio_opt
+
+
+def get_vc(sid):
+    global n_spk,tgt_sr,net_g,vc,cpt
+    person = "weights/%s" % (sid)
+    print("loading %s"%person)
+    cpt = torch.load(person, map_location="cpu")
+    tgt_sr = cpt["config"][-1]
+    cpt["config"][-3]=cpt["weight"]["emb_g.weight"].shape[0]#n_spk
+    if_f0=cpt.get("f0",1)
+    if(if_f0==1):
+        net_g = SynthesizerTrnMs256NSFsid(*cpt["config"], is_half=is_half)
+    else:
+        net_g = SynthesizerTrnMs256NSFsid_nono(*cpt["config"])
+    del net_g.enc_q
+    print(net_g.load_state_dict(cpt["weight"], strict=False))  # 不加这一行清不干净，真奇葩
+    net_g.eval().to(device)
+    if (is_half):net_g = net_g.half()
+    else:net_g = net_g.float()
+    vc = VC(tgt_sr, device, is_half)
+    n_spk=cpt["config"][-3]
+    # return {"visible": True,"maximum": n_spk, "__type__": "update"}
+
+
+get_vc(model_path)
+wav_opt=vc_single(0,input_path,f0up_key,None,"harvest",index_path,npy_path,0.6)
+wavfile.write(opt_path, tgt_sr, wav_opt)
+