diff --git a/api.py b/api.py
index 725b12d..60d5919 100644
--- a/api.py
+++ b/api.py
@@ -7,7 +7,7 @@ import torch
 import librosa
 import soundfile as sf
 from fastapi import FastAPI, Request, HTTPException
-from fastapi.responses import StreamingResponse
+from fastapi.responses import StreamingResponse, JSONResponse
 import uvicorn
 from transformers import AutoModelForMaskedLM, AutoTokenizer
 import numpy as np
@@ -51,10 +51,18 @@ args = parser.parse_args()
 sovits_path = args.sovits_path
 gpt_path = args.gpt_path
 
-default_refer_path = args.default_refer_path
-default_refer_text = args.default_refer_text
-default_refer_language = args.default_refer_language
-has_preset = False
+
+class DefaultRefer:
+    def __init__(self, path, text, language):
+        self.path = args.default_refer_path
+        self.text = args.default_refer_text
+        self.language = args.default_refer_language
+
+    def is_ready(self) -> bool:
+        return is_full(self.path, self.text, self.language)
+
+
+default_refer = DefaultRefer(args.default_refer_path, args.default_refer_text, args.default_refer_language)
 
 device = args.device
 port = args.port
@@ -68,15 +76,13 @@ if gpt_path == "":
     print(f"[WARN] 未指定GPT模型路径, fallback后当前值: {gpt_path}")
 
 # 指定默认参考音频, 调用方 未提供/未给全 参考音频参数时使用
-if default_refer_path == "" or default_refer_text == "" or default_refer_language == "":
-    default_refer_path, default_refer_text, default_refer_language = "", "", ""
+if default_refer.path == "" or default_refer.text == "" or default_refer.language == "":
+    default_refer.path, default_refer.text, default_refer.language = "", "", ""
     print("[INFO] 未指定默认参考音频")
-    has_preset = False
 else:
-    print(f"[INFO] 默认参考音频路径: {default_refer_path}")
-    print(f"[INFO] 默认参考音频文本: {default_refer_text}")
-    print(f"[INFO] 默认参考音频语种: {default_refer_language}")
-    has_preset = True
+    print(f"[INFO] 默认参考音频路径: {default_refer.path}")
+    print(f"[INFO] 默认参考音频文本: {default_refer.text}")
+    print(f"[INFO] 默认参考音频语种: {default_refer.language}")
 
 is_half = g_config.is_half
 if args.full_precision:
@@ -100,6 +106,20 @@ else:
     bert_model = bert_model.to(device)
 
 
+def is_empty(*items):  # 任意一项不为空返回False
+    for item in items:
+        if item is not None and item != "":
+            return False
+    return True
+
+
+def is_full(*items):  # 任意一项为空返回False
+    for item in items:
+        if item is None or item == "":
+            return False
+    return True
+
+
 def get_bert_feature(text, word2ph):
     with torch.no_grad():
         inputs = tokenizer(text, return_tensors="pt")
@@ -203,7 +223,7 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language)
         else:
             wav16k = wav16k.to(device)
             zero_wav_torch = zero_wav_torch.to(device)
-        wav16k=torch.cat([wav16k,zero_wav_torch])
+        wav16k = torch.cat([wav16k, zero_wav_torch])
         ssl_content = ssl_model.model(wav16k.unsqueeze(0))["last_hidden_state"].transpose(1, 2)  # .float()
         codes = vq_model.extract_latent(ssl_content)
         prompt_semantic = codes[0, 0]
@@ -264,6 +284,25 @@ def get_tts_wav(ref_wav_path, prompt_text, prompt_language, text, text_language)
     yield hps.data.sampling_rate, (np.concatenate(audio_opt, 0) * 32768).astype(np.int16)
 
 
+def handle_change(path, text, language):
+    if is_empty(path, text, language):
+        raise HTTPException(status_code=400, detail='缺少任意一项以下参数: "path", "text", "language"')
+
+    if path != "" or path is not None:
+        default_refer.path = path
+    if text != "" or text is not None:
+        default_refer.text = text
+    if language != "" or language is not None:
+        default_refer.language = language
+
+    print(f"[INFO] 当前默认参考音频路径: {default_refer.path}")
+    print(f"[INFO] 当前默认参考音频文本: {default_refer.text}")
+    print(f"[INFO] 当前默认参考音频语种: {default_refer.language}")
+    print(f"[INFO] is_ready: {default_refer.is_ready()}")
+
+    return JSONResponse({"code": 0, "message": "Success"}, status_code=200)
+
+
 def handle(command, refer_wav_path, prompt_text, prompt_language, text, text_language):
     if command == "/restart":
         os.execl(g_config.python_exec, g_config.python_exec, *sys.argv)
@@ -277,11 +316,11 @@ def handle(command, refer_wav_path, prompt_text, prompt_language, text, text_lan
             or prompt_language == "" or prompt_language is None
     ):
         refer_wav_path, prompt_text, prompt_language = (
-            default_refer_path,
-            default_refer_text,
-            default_refer_language,
+            default_refer.path,
+            default_refer.text,
+            default_refer.language,
         )
-        if not has_preset:
+        if not default_refer.is_ready():
             raise HTTPException(status_code=400, detail="未指定参考音频且接口无预设")
 
     with torch.no_grad():
@@ -301,6 +340,25 @@ def handle(command, refer_wav_path, prompt_text, prompt_language, text, text_lan
 app = FastAPI()
 
 
+@app.post("/change_refer")
+async def change_refer(request: Request):
+    json_post_raw = await request.json()
+    return handle_change(
+        json_post_raw.get("path"),
+        json_post_raw.get("text"),
+        json_post_raw.get("language")
+    )
+
+
+@app.get("/change_refer")
+async def change_refer(
+        path: str = None,
+        text: str = None,
+        language: str = None
+):
+    return handle_change(path, text, language)
+
+
 @app.post("/")
 async def tts_endpoint(request: Request):
     json_post_raw = await request.json()