Fix bug of LMDeployClient (#140)

* Fix bug of LMDeployClient

* fix bug of web_demo

examples/internlm2_agent_web_demo.py

@@ -117,7 +117,7 @@ class StreamlitUI:
         """Initialize the model based on the selected option."""
         model_url = f'http://{ip}'
         st.session_state['model_map'][option] = LMDeployClient(
-            path='internlm2-chat-20b',
+            model_name='internlm2-chat-20b',
             url=model_url,
             meta_template=META,
             top_p=0.8,
@@ -294,8 +294,7 @@ def main():
                     st.session_state['ui'].render_action_results(
                         agent_return.actions[-1])
             elif (agent_return.state == AgentStatusCode.STREAM_ING
-                  or agent_return.state == AgentStatusCode.CODING
-                  or agent_return.state == AgentStatusCode.END):
+                  or agent_return.state == AgentStatusCode.CODING):
                 # st.markdown(agent_return.response)
                 # 清除占位符的当前内容，并显示新内容
                 with st.container():

lagent/llms/lmdepoly_wrapper.py

@@ -411,12 +411,15 @@ class LMDeployClient(LMDeployServer):
     """
 
     Args:
-        path (str): The path to the model.
         url (str): communicating address 'http://<ip>:<port>' of
             api_server
+        model_name (str): needed when model_path is a pytorch model on
+            huggingface.co, such as "internlm-chat-7b",
+            "Qwen-7B-Chat ", "Baichuan2-7B-Chat" and so on.
     """
 
-    def __init__(self, path: str, url: str, **kwargs):
-        BaseModel.__init__(self, path=path, **kwargs)
+    def __init__(self, url: str, model_name: str, **kwargs):
+        BaseModel.__init__(self, path=url, **kwargs)
         from lmdeploy.serve.openai.api_client import APIClient
         self.client = APIClient(url)
+        self.model_name = model_name