Simple chat app (#921)

* Add file

Initial implementation

* Add file

Implementation

* 1. update readme 2. update web example 3. update code

* update readme

* remove working dir

* update

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Co-authored-by: “skzhang1” <“shaokunzhang529@gmail.com”>
Co-authored-by: Shaokun Zhang <shaokunzhang529@gmail.com>

README.md

@@ -119,6 +119,7 @@ After the repo is cloned.
 The figure below shows an example conversation flow with AutoGen.
 ![Agent Chat Example](https://github.com/microsoft/autogen/blob/main/website/static/img/chat_example.png)
 
+Alternatively, the [sample code](https://github.com/microsoft/autogen/blob/main/samples/simple_chat.py) here allows a user to chat with an AutoGen agent in ChatGPT style.
 Please find more [code examples](https://microsoft.github.io/autogen/docs/Examples#automated-multi-agent-chat) for this feature.
 
 ## Enhanced LLM Inferences

samples/simple_chat.py

@@ -0,0 +1,22 @@
+from autogen import UserProxyAgent, ConversableAgent, config_list_from_json
+
+
+def main():
+    # Load LLM inference endpoints from an env variable or a file
+    # See https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints
+    # and OAI_CONFIG_LIST_sample.
+    # For example, if you have created a OAI_CONFIG_LIST file in the current working directory, that file will be used.
+    config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
+
+    # Create the agent that uses the LLM.
+    assistant = ConversableAgent("agent", llm_config={"config_list": config_list})
+
+    # Create the agent that represents the user in the conversation.
+    user_proxy = UserProxyAgent("user", code_execution_config=False)
+
+    # Let the assistant start the conversation.  It will end when the user types exit.
+    assistant.initiate_chat(user_proxy, message="How can I help you today?")
+
+
+if __name__ == "__main__":
+    main()

website/docs/Examples.md

@@ -38,8 +38,9 @@ Links to notebook examples:
    - Function Inception: Enable AutoGen agents to update/remove functions during conversations. - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_inception_function.ipynb)
    - Agent Chat with Whisper - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_video_transcript_translate_with_whisper.ipynb)
 1. **Human Involvement**
+   - Simple example in ChatGPT style [View example](https://github.com/microsoft/autogen/blob/main/samples/simple_chat.py)
    - Auto Code Generation, Execution, Debugging and **Human Feedback** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_human_feedback.ipynb)
-   -  Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_two_users.ipynb)
+   - Automated Task Solving with GPT-4 + **Multiple Human Users** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_two_users.ipynb)
    - Agent Chat with **Async Human Inputs** - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/Async_human_input.ipynb)
 1. **Agent Teaching and Learning**
    - Teach Agents New Skills & Reuse via Automated Chat - [View Notebook](https://github.com/microsoft/autogen/blob/main/notebook/agentchat_teaching.ipynb)