fix azure and compat with v0.2

autogen/launch_gui.py → launch_gradio_gui.py

@@ -1,13 +1,12 @@
-from autogen.gradio_gui import install_dependencies, init_config
+from samples.app.gradio_gui import install_dependencies, init_config
 
 if install_dependencies():
-    from autogen.gradio_gui.utils.general import AutoGenGeneral, AutoGenGroupChat
-    from autogen.gradio_gui.plugin import autogen_terminal
-    from autogen.gradio_gui.gradio_service import main
+    llm_config = init_config()
+    from samples.app.gradio_gui.general import AutoGenGeneral, AutoGenGroupChat
+    from samples.app.gradio_gui.plugin import autogen_terminal
+    from samples.app.gradio_gui.gradio_service import main
     from void_terminal.toolbox import CatchException
 
-llm_config = init_config()
-
 
 class AutoGenAskHuman(AutoGenGeneral):
     def define_agents(self):
@@ -90,14 +89,14 @@ def define_group_chat_manager_config(self):
 @CatchException
 def autogen_terminal_fn_01(*args, **kwargs):
     return autogen_terminal(
-        *args, AutoGenFn=AutoGenAskHuman, Callback="autogen.launch_gui->autogen_terminal_fn_01", **kwargs
+        *args, AutoGenFn=AutoGenAskHuman, Callback="launch_gradio_gui->autogen_terminal_fn_01", **kwargs
     )
 
 
 @CatchException
 def autogen_terminal_fn_02(*args, **kwargs):
     return autogen_terminal(
-        *args, AutoGenFn=AutoGenGroupChat, Callback="autogen.launch_gui->autogen_terminal_fn_02", **kwargs
+        *args, AutoGenFn=AutoGenGroupChat, Callback="launch_gradio_gui->autogen_terminal_fn_02", **kwargs
     )
 
 

samples/app/gradio_gui/README.md

@@ -0,0 +1,116 @@
+# AutoGen's Gradio GUI
+
+This is a GUI for AutoGen. It is written in Python and uses the [Gradio](https://gradio.app/) library.
+
+## ⭐Installation
+
+1. Install AutoGen:
+
+```bash
+python -m pip install pyautogen
+```
+
+## ⭐Run
+
+1. Create a file named `OAI_CONFIG_LIST`, input your OpenAI or Azure OpenAI API key(s). For example:
+
+    ```
+    [
+        {
+            "model": "gpt-3.5-turbo-16k",
+            "api_key": "----------------------------------",
+            "api_type": "azure",
+            "api_version": "2023-07-01-preview",
+            "base_url": "https://your_deploy_url.openai.azure.com/openai/deployments/your_deploy_name/chat/completions?api-version=2023-05-15",
+        }
+    ]
+    ```
+
+2. Run following commands to launch the GUI:
+
+    - Linux
+        ```bash
+        # export OAI_CONFIG_LIST='/path/to/OAI_CONFIG_LIST'
+        export OAI_CONFIG_LIST='./OAI_CONFIG_LIST'
+        export AUTOGEN_USE_DOCKER='False'
+        export WEB_PORT=12345
+        # for more environment variables options, please refer to the void terminal project
+
+        python -m samples.app.launch_gradio_gui
+        ```
+
+    - Windows CMD
+
+        ```bash
+        # set OAI_CONFIG_LIST=/path/to/OAI_CONFIG_LIST
+        set OAI_CONFIG_LIST=./OAI_CONFIG_LIST
+        set AUTOGEN_USE_DOCKER=False
+        set WEB_PORT=12345
+        # for more environment variables options, please refer to the void terminal project
+
+        python -m samples.app.launch_gradio_gui
+        ```
+
+
+> Note:
+> When you run `launch_gradio_gui`, the program will automatically install additional dependencies with `pip install --user ...` if they are not installed.
+
+## ⭐Customization
+
+
+1. Create a python file `test.py` with templete below
+2. Edit and add your own group chat
+3. Run it with `python test.py`
+
+    ```python
+
+    from samples.app.gradio_gui import init_config
+    from samples.app.gradio_gui.general import AutoGenGroupChat
+    from samples.app.gradio_gui.plugin import autogen_terminal
+    from samples.app.gradio_gui.gradio_service import main
+    import os
+    llm_config = init_config()
+
+    # <-------------------  define autogen agents (group chat)  ------------------->
+    class AutoGenGroupChat(AutoGenGroupChat):
+        def define_agents(self):
+            from autogen import AssistantAgent, UserProxyAgent
+            agents = [
+                {
+                    "name": "Engineer",             # name of the agent.
+                    "cls":  AssistantAgent,         # class of the agent.
+                    "llm_config": llm_config,
+                    "system_message": "Engineer_Prompt."
+                },
+                {
+                    "name": "user_proxy",           # name of the agent.
+                    "cls":  UserProxyAgent,         # class of the agent.
+                    "human_input_mode": "NEVER",    # never ask for human input.
+                    # disables llm-based auto reply.
+                    "llm_config": False,
+                    "code_execution_config": False,
+                    "system_message": "A_Human_Admin.",
+                },
+            ]
+            return agents
+
+        def define_group_chat_manager_config(self):
+            llm_config.update({"temperature": 0})
+            return {"llm_config": llm_config}
+
+    def autogen_terminal_groupchat(*args, **kwargs):
+        return autogen_terminal(*args, AutoGenFn=AutoGenGroupChat, Callback=f"{os.path.basename(__file__).split('.py')[0]}->autogen_terminal_fn_02", **kwargs)
+
+    if __name__ == "__main__":
+        main(
+            {
+                "AutoGen sci group chat": {
+                    "Group": "Agent",
+                    "Color": "stop",
+                    "AsButton": True,
+                    "AdvancedArgs": False,
+                    "Function": autogen_terminal_groupchat
+                },
+            }
+        )
+    ```

autogen/gradio_gui/__init__.py → samples/app/gradio_gui/__init__.py

@@ -50,7 +50,7 @@ def init_config_list():
 Please run with
     `export OAI_CONFIG_LIST='/path/to/OAI_CONFIG_LIST'`
 to set the path to config list file, and then run
-    `python -m autogen.launch_gui`
+    `python -m samples.app.launch_gradio_gui`
 to start the GUI.
 """
         )
@@ -85,14 +85,14 @@ def init_config():
     # 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]
+        base_url = llm_config["config_list"][0]["base_url"]
+        AZURE_ENDPOINT = base_url.split("openai/deployments/")[0]
+        AZURE_ENGINE = base_url.split("openai/deployments/")[-1].split("/chat/completions")[0]
         AZURE_CFG_ARRAY = {
             model: {
-                "AZURE_ENDPOINT": llm_config["config_list"][0]["api_base"] + "/",
+                "AZURE_ENDPOINT": AZURE_ENDPOINT,
                 "AZURE_API_KEY": llm_config["config_list"][0]["api_key"],
-                "AZURE_ENGINE": llm_config["config_list"][0]["deployment_id"],
+                "AZURE_ENGINE": AZURE_ENGINE,
                 "AZURE_MODEL_MAX_TOKEN": 8192,
             },
         }

autogen/gradio_gui/utils/general.py → samples/app/gradio_gui/general.py

@@ -1,5 +1,5 @@
 from void_terminal.toolbox import trimmed_format_exc, ProxyNetworkActivate
-from autogen.gradio_gui.utils.pipe import PluginMultiprocessManager, PipeCom
+from samples.app.gradio_gui.pipe import PluginMultiprocessManager, PipeCom
 import time
 
 
@@ -70,7 +70,7 @@ def exe_autogen(self, input):
         # ⭐⭐ run in subprocess
         import autogen
         from void_terminal.toolbox import trimmed_format_exc, ProxyNetworkActivate
-        from autogen.gradio_gui.utils.pipe import PipeCom
+        from samples.app.gradio_gui.pipe import PipeCom
 
         input = input.content
         with ProxyNetworkActivate("AutoGen"):

autogen/gradio_gui/gradio_service.py → samples/app/gradio_gui/gradio_service.py

@@ -3,7 +3,6 @@
 import importlib
 import base64
 import gradio as gr
-from void_terminal.check_proxy import get_current_version
 from void_terminal.themes.theme import adjust_theme, advanced_css, theme_declaration, load_dynamic_theme
 from void_terminal.request_llms.bridge_all import predict
 from void_terminal.core_functional import get_core_functions