remove notification after user commits

.gitignore

@@ -167,3 +167,6 @@ wolfram.txt
 
 # DB on disk for TeachableAgent
 tmp/
+
+# logs
+gpt_log

autogen/gradio_gui/__init__.py

@@ -42,18 +42,6 @@ def init_config_list():
     llm_config = {"config_list": config_list}
     return llm_config
 
-# def init_config_list():
-#     return {
-#         "config_list": [
-#         {
-#             "model": "gpt-3.5-turbo-16k",
-#             "api_key": "",
-#             "api_base": "https://gptac.openai.azure.com/openai/deployments/35-16k/chat/completions?api-version=2023-05-15",
-#             "api_type": "azure",
-#             "api_version": "2023-07-01-preview"
-#         }
-#     ]
-#     }
 
 def init_config():
     import void_terminal
@@ -67,19 +55,21 @@ def init_config():
     void_terminal.set_conf(key="DARK_MODE", value=True)
     void_terminal.set_conf(key="AUTO_CLEAR_TXT", value=True)
 
-    # this only influence direct chat, not autogen
+    # the following configurations only influence direct chat, not autogen
     void_terminal.set_conf(key="API_KEY", value=llm_config["config_list"][0]["api_key"])
     void_terminal.set_conf(key="LLM_MODEL", value=llm_config["config_list"][0]["model"])
     # void_terminal.set_conf(key="API_KEY",value="sk-yourapikey")
     # void_terminal.set_conf(key="LLM_MODEL", value="gpt-3.5-turbo-16k")
     if llm_config["config_list"][0].get('api_type', '') == 'azure':
         model = 'azure-'+llm_config["config_list"][0]["model"]
+        api_base = llm_config["config_list"][0]["api_base"]
+        if api_base.endswith('/'): api_base = api_base[:-1]
         AZURE_CFG_ARRAY = {
             model:
                 {
-                    "AZURE_ENDPOINT": llm_config["config_list"][0]["api_base"].split('openai/deployments/')[0],
+                    "AZURE_ENDPOINT": llm_config["config_list"][0]["api_base"] + '/',
                     "AZURE_API_KEY": llm_config["config_list"][0]["api_key"],
-                    "AZURE_ENGINE": llm_config["config_list"][0]["api_base"].split('openai/deployments/')[1].split('/chat/completions')[0],
+                    "AZURE_ENGINE": llm_config["config_list"][0]["deployment_id"],
                     "AZURE_MODEL_MAX_TOKEN": 8192,
                 },
         }

autogen/gradio_gui/utils/pipe.py

@@ -99,6 +99,9 @@ def main_process_ui_control(self, txt, create_or_resume) -> str:
         if create_or_resume == 'create':
             self.cnt = 1
             self.parent_conn = self.launch_subprocess_with_pipe() # ⭐⭐⭐
+        else:
+            if 'Waiting for further instructions.' in self.chatbot[-1][-1]:
+                self.chatbot.pop(-1)    # remove the last line
         self.send_command(txt)
 
         if txt == 'exit': 
@@ -112,6 +115,8 @@ def main_process_ui_control(self, txt, create_or_resume) -> str:
             if self.parent_conn.poll(): 
                 if '[GPT-Academic] waiting' in self.chatbot[-1][-1]:
                     self.chatbot.pop(-1)    # remove the last line
+                if 'Waiting for further instructions.' in self.chatbot[-1][-1]:
+                    self.chatbot.pop(-1)    # remove the last line
                 msg = self.parent_conn.recv() # PipeCom
                 if msg.cmd == "done":
                     self.chatbot.append([f"terminate", msg.content])

launch_gui.py

@@ -3,8 +3,56 @@
 from autogen.gradio_gui.plugin import autogen_terminal
 from autogen.gradio_gui.gradio_service import main
 from autogen.gradio_gui import install_dependencies, init_config
-
 install_dependencies()
+
+def init_config_list():
+    return {
+        "config_list": [
+            {
+                "model": "gpt-3.5-turbo-16k",
+                "api_key": "82a0be415a9f4871ada57ebed389337b",
+                "api_base": "https://gptac.openai.azure.com",
+                "api_type": "azure",
+                "api_version": "2023-07-01-preview",
+                "deployment_id": "35-16k",
+            }
+        ]
+    }
+
+def init_config():
+    import void_terminal
+
+    llm_config = init_config_list()
+    # set network proxy
+    # void_terminal.set_conf(key="USE_PROXY", value=True)
+    # void_terminal.set_conf(key="proxies", value='{"http": "http://localhost:10881", "https": "http://localhost:10881"}')
+    void_terminal.set_conf(key="AUTOGEN_USE_DOCKER", value=False)
+    void_terminal.set_conf(key="PATH_LOGGING", value="gpt_log")
+    void_terminal.set_conf(key="DARK_MODE", value=True)
+    void_terminal.set_conf(key="AUTO_CLEAR_TXT", value=True)
+
+    # the following configurations only influence direct chat, not autogen
+    void_terminal.set_conf(key="API_KEY", value=llm_config["config_list"][0]["api_key"])
+    void_terminal.set_conf(key="LLM_MODEL", value=llm_config["config_list"][0]["model"])
+    # void_terminal.set_conf(key="API_KEY",value="sk-yourapikey")
+    # void_terminal.set_conf(key="LLM_MODEL", value="gpt-3.5-turbo-16k")
+    if llm_config["config_list"][0].get('api_type', '') == 'azure':
+        model = 'azure-'+llm_config["config_list"][0]["model"]
+        api_base = llm_config["config_list"][0]["api_base"]
+        if api_base.endswith('/'): api_base = api_base[:-1]
+        AZURE_CFG_ARRAY = {
+            model:
+                {
+                    "AZURE_ENDPOINT": llm_config["config_list"][0]["api_base"] + '/',
+                    "AZURE_API_KEY": llm_config["config_list"][0]["api_key"],
+                    "AZURE_ENGINE": llm_config["config_list"][0]["deployment_id"],
+                    "AZURE_MODEL_MAX_TOKEN": 8192,
+                },
+        }
+        void_terminal.set_conf(key="LLM_MODEL", value=model)
+        void_terminal.set_conf(key="AZURE_CFG_ARRAY", value=str(AZURE_CFG_ARRAY))
+    return llm_config
+
 llm_config = init_config()
 
 class AutoGenAskHuman(AutoGenGeneral):