diff --git a/Inference b/Inference
index 2de410df..8eb8219e 160000
--- a/Inference
+++ b/Inference
@@ -1 +1 @@
-Subproject commit 2de410df8b8a0725dbda04105509457f0163c18e
+Subproject commit 8eb8219e47e996b7c7f1a77d7b0a71420c861e82
diff --git a/app.py b/app.py
index 1e01eff5..264f52ea 100644
--- a/app.py
+++ b/app.py
@@ -1,4 +1,4 @@
-frontend_version = "2.2.4 240318"
+frontend_version = "2.3.1 240320"
 
 from datetime import datetime
 import gradio as gr
@@ -28,7 +28,7 @@ if os.path.exists(config_path):
         default_batch_size = _config.get("batch_size", 10)
         default_word_count = _config.get("max_word_count", 80)
         is_share = _config.get("is_share", "false").lower() == "true"
-        is_classic = _config.get("classic_inference", "false").lower() == "true"
+        is_classic = False
         enable_auth = _config.get("enable_auth", "false").lower() == "true"
         users = _config.get("user", {})
         try:
@@ -61,8 +61,14 @@ def load_character_emotions(character_name, characters_and_emotions):
 
 
 
+from Inference.src.TTS_Instance import TTS_instance
+from Inference.src.config_manager import update_character_info, models_path, get_deflaut_character_name
+text_count = {}
+for character in update_character_info()['characters_and_emotions']:
+    text_count[character.lower()] = 0
+
+tts_instance = TTS_instance()
 
-from load_infer_info import get_wav_from_text_api, update_character_info, load_character, character_name, models_path
 import soundfile as sf
 import io
 
@@ -83,7 +89,6 @@ def send_request(
     seed,
     stream="False",
 ):
-    global character_name
     global models_path
     text_language = language_dict[text_language]
     cut_method = cut_method_dict[cut_method]
@@ -91,16 +96,11 @@ def send_request(
         cut_method = f"{cut_method}_{word_count}"
     # Using Template to fill in variables
     
-    
-    expected_path = os.path.join(models_path, cha_name) if cha_name else None
-
     # 检查cha_name和路径
-    if cha_name and cha_name != character_name and expected_path and os.path.exists(expected_path):
-        character_name = cha_name
-        print(f"Loading character {character_name}")
-        load_character(character_name)  
-    elif expected_path and not os.path.exists(expected_path):
-        gr.Warning("Directory {expected_path} does not exist. Using the current character.")
+    try:
+        tts_instance.load_character(cha_name)  
+    except Exception as e:
+        gr.Warning(f"Fails to load character: {cha_name} with error: {e}")
 
     
     
@@ -119,11 +119,11 @@ def send_request(
         "stream": stream
     }
     # 如果不是经典模式，则添加额外的参数
-    if not is_classic:
-        params["batch_size"] = batch_size
-        params["speed_factor"] = speed_factor
-        params["seed"] = seed
-    gen = get_wav_from_text_api(**params)
+    
+    params["batch_size"] = batch_size
+    params["speed_factor"] = speed_factor
+    params["seed"] = seed
+    gen = tts_instance.get_wav_from_text_api(**params)
     sampling_rate, audio_data = next(gen)
     wav = io.BytesIO()
     sf.write(wav, audio_data, sampling_rate, format="wav")