diff --git a/app.py b/app.py
index dded4e2..6a1a8d5 100644
--- a/app.py
+++ b/app.py
@@ -11,6 +11,6 @@ elif model == "EmoLLM_Model":
     os.system("python download_model.py jujimeizuo/EmoLLM_Model")
     os.system('streamlit run web_internlm2.py --server.address=0.0.0.0 --server.port 7860')
 elif model == "Llama3_Model":
-    os.system('streamlit run web_demo-Llama3.py --server.address=0.0.0.0 --server.port 7968')
+    os.system('streamlit run web_demo_Llama3.py --server.address=0.0.0.0 --server.port 7968')
 else:
     print("Please select one model")
\ No newline at end of file
diff --git a/web_demo-Llama3.py b/web_demo_Llama3.py
similarity index 98%
rename from web_demo-Llama3.py
rename to web_demo_Llama3.py
index 00a668f..5eae794 100644
--- a/web_demo-Llama3.py
+++ b/web_demo_Llama3.py
@@ -13,7 +13,7 @@ from transformers.utils import logging
 from transformers import AutoTokenizer, AutoModelForCausalLM  # isort: skip
 
 
-warnings.filterwarnings("ignore")
+# warnings.filterwarnings("ignore")
 logger = logging.get_logger(__name__)
 
 
@@ -151,7 +151,7 @@ def on_btn_click():
 @st.cache_resource
 def load_model():
     
-    model_name = "./EmoLLM-Llama3-8B-Instruct2.0"
+    model_name = "./EmoLLM-Llama3-8B-Instruct3.0"
     print(model_name)
 
     print('pip install modelscope websockets')
@@ -159,7 +159,7 @@ def load_model():
     from modelscope import snapshot_download
 
     #模型下载
-    model_name = snapshot_download('chg0901/EmoLLM-Llama3-8B-Instruct2.0',cache_dir=model_name)
+    model_name = snapshot_download('chg0901/EmoLLM-Llama3-8B-Instruct3.0',cache_dir=model_name)
     print(model_name)
 
     model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto", trust_remote_code=True, torch_dtype=torch.float16).eval()