diff --git a/web/__init__.py b/web/__init__.py
index 17f186e..0f2fe4f 100644
--- a/web/__init__.py
+++ b/web/__init__.py
@@ -1,14 +1,14 @@
 from web.api import api_blueprint
 from pathlib import Path
 from gevent import pywsgi as wsgi
-from flask import Flask, jsonify, Response, request, render_template, url_for
+from flask import Flask, Response, request, render_template
 from synthesizer.inference import Synthesizer
 from encoder import inference as encoder
 from vocoder.hifigan import inference as gan_vocoder
 from vocoder.wavernn import inference as rnn_vocoder
 import numpy as np
 import re
-from scipy.io.wavfile import write, read
+from scipy.io.wavfile import write
 import io
 import base64
 from flask_cors import CORS
@@ -21,40 +21,16 @@ def webApp():
     app.config['RESTPLUS_MASK_SWAGGER'] = False
     app.register_blueprint(api_blueprint)
 
-    CORS(app) #允许跨域，注释掉此行则禁止跨域请求
+    # CORS(app) #允许跨域，注释掉此行则禁止跨域请求
     csrf = CSRFProtect(app)
     csrf.init_app(app)
-    # API For Non-Trainer
-    # 1. list sample audio files
-    # 2. record / upload / select audio files
-    # 3. load melspetron of audio
-    # 4. inference by audio + text + models(encoder, vocoder, synthesizer)
-    # 5. export result
-    
-    # enc_models_dir = "encoder/saved_models"
-    # voc_models_di = "vocoder/saved_models"
-    # encoders = list(Path(enc_models_dir).glob("*.pt"))
-    # vocoders = list(Path(voc_models_di).glob("**/*.pt"))
+   
     syn_models_dirt = "synthesizer/saved_models"
     synthesizers = list(Path(syn_models_dirt).glob("**/*.pt"))
-    # print("Loaded encoder models: " + str(len(encoders)))
-    # print("Loaded vocoder models: " + str(len(vocoders)))
-    print("Loaded synthesizer models: " + str(len(synthesizers)))
     synthesizers_cache = {}
     encoder.load_model(Path("encoder/saved_models/pretrained.pt"))
     gan_vocoder.load_model(Path("vocoder/saved_models/pretrained/g_hifigan.pt"))
 
-    @app.route("/api/models", methods=["GET"])
-    def models():
-        return jsonify(
-            {
-                # "encoder": list(e.name for e in encoders),
-                # "vocoder": list(e.name for e in vocoders),
-                "synthesizers": 
-                    list({"name": e.name, "path": str(e)} for e in synthesizers),
-            }
-        )
-
     def pcm2float(sig, dtype='float32'):
         """Convert PCM signal to floating point with a range from -1 to 1.
         Use dtype='float32' for single precision.
diff --git a/web/api/__init__.py b/web/api/__init__.py
index db524d7..a0c8726 100644
--- a/web/api/__init__.py
+++ b/web/api/__init__.py
@@ -1,6 +1,7 @@
 from flask import Blueprint
 from flask_restx import Api
 from .audio import api as audio
+from .synthesizer import api as synthesizer
 
 api_blueprint = Blueprint('api', __name__, url_prefix='/api')
 
@@ -12,3 +13,4 @@ api = Api(
 )
 
 api.add_namespace(audio)
+api.add_namespace(synthesizer)
\ No newline at end of file
diff --git a/web/api/synthesizer.py b/web/api/synthesizer.py
new file mode 100644
index 0000000..23963b3
--- /dev/null
+++ b/web/api/synthesizer.py
@@ -0,0 +1,23 @@
+from pathlib import Path
+from flask_restx import Namespace, Resource, fields
+
+api = Namespace('synthesizers', description='Synthesizers related operations')
+
+synthesizer = api.model('Synthesizer', {
+    'name': fields.String(required=True, description='The synthesizer name'),
+    'path': fields.String(required=True, description='The synthesizer path'),
+})
+
+synthesizers_cache = {}
+syn_models_dirt = "synthesizer/saved_models"
+synthesizers = list(Path(syn_models_dirt).glob("**/*.pt"))
+print("Loaded synthesizer models: " + str(len(synthesizers)))
+
+@api.route('/')
+class SynthesizerList(Resource):
+    @api.doc('list_synthesizers')
+    @api.marshal_list_with(synthesizer)
+    def get(self):
+        '''List all synthesizers'''
+        return list({"name": e.name, "path": str(e)} for e in synthesizers)
+