diff --git a/paddlespeech/cli/base_commands.py b/paddlespeech/cli/base_commands.py
index f9e2a55f..7210091a 100644
--- a/paddlespeech/cli/base_commands.py
+++ b/paddlespeech/cli/base_commands.py
@@ -125,9 +125,11 @@ class StatsCommand:
                 "Here is the list of {} pretrained models released by PaddleSpeech that can be used by command line and python API"
                 .format(self.task.upper()))
             self.show_support_models(pretrained_models)
+            return True
         except BaseException:
             print("Failed to get the list of {} pretrained models.".format(
                 self.task.upper()))
+            return False
 
 
 # Dynamic import when running specific command
diff --git a/paddlespeech/server/bin/paddlespeech_server.py b/paddlespeech/server/bin/paddlespeech_server.py
index 175e8ffb..10a91d9b 100644
--- a/paddlespeech/server/bin/paddlespeech_server.py
+++ b/paddlespeech/server/bin/paddlespeech_server.py
@@ -18,7 +18,6 @@ from typing import List
 
 import uvicorn
 from fastapi import FastAPI
-from starlette.middleware.cors import CORSMiddleware
 from prettytable import PrettyTable
 from starlette.middleware.cors import CORSMiddleware
 
@@ -46,6 +45,7 @@ app.add_middleware(
     allow_methods=["*"],
     allow_headers=["*"])
 
+
 @cli_server_register(
     name='paddlespeech_server.start', description='Start the service')
 class ServerExecutor(BaseExecutor):
@@ -177,7 +177,7 @@ class ServerStatsExecutor():
                 logger.info(
                     "Here is the table of {} static pretrained models supported in the service.".
                     format(self.task.upper()))
-                self.show_support_models(pretrained_models)
+                self.show_support_models(static_pretrained_models)
 
             return True