Improve readability for agentchat_two_users.ipynb (microsoft#361)

Co-authored-by: Chi Wang <[email protected]>

notebook/agentchat_two_users.ipynb

@@ -19,9 +19,9 @@
    "source": [
     "# Auto Generated Agent Chat: Collaborative Task Solving with Multiple Agents and Human Users\n",
     "\n",
-    "AutoGen offers conversable agents powered by LLM, tool or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation. Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
+    "AutoGen offers conversable agents powered by LLM, tool, or human, which can be used to perform tasks collectively via automated chat. This framework allows tool use and human participation through multi-agent conversation. Please find documentation about this feature [here](https://microsoft.github.io/autogen/docs/Use-Cases/agent_chat).\n",
     "\n",
-    "In this notebook, we demonstrate an application involving multiple agents and human users to work together and accomplish a task. `AssistantAgent` is an LLM-based agent that can write Python code (in a Python coding block) for a user to execute for a given task. `UserProxyAgent` is an agent which serves as a proxy for a user to execute the code written by `AssistantAgent`. We create multiple `UserProxyAgent` instances which can represent different human users.\n",
+    "In this notebook, we demonstrate an application involving multiple agents and human users to work together and accomplish a task. `AssistantAgent` is an LLM-based agent that can write Python code (in a Python coding block) for a user to execute for a given task. `UserProxyAgent` is an agent which serves as a proxy for a user to execute the code written by `AssistantAgent`. We create multiple `UserProxyAgent` instances that can represent different human users.\n",
     "\n",
     "## Requirements\n",
     "\n",
@@ -56,7 +56,7 @@
     "\n",
     "The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file.\n",
     "\n",
-    "It first looks for an environment variable of a specified name (\"OAI_CONFIG_LIST\" in this example) which needs to be a valid json string. If that variable is not found, it then looks for a json file with the same name. It filters the configs by models (you can filter by other keys as well).\n",
+    "It first looks for an environment variable of a specified name (\"OAI_CONFIG_LIST\" in this example), which needs to be a valid json string. If that variable is not found, it looks for a json file with the same name. It filters the configs by models (you can filter by other keys as well).\n",
     "\n",
     "The json looks like the following:\n",
     "```json\n",
@@ -82,7 +82,7 @@
     "]\n",
     "```\n",
     "\n",
-    "If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choose \"upload file\" icon.\n"
+    "If you open this notebook in colab, you can upload your files by clicking the file icon on the left panel and then choosing \"upload file\" icon.\n"
    ]
   },
   {
@@ -176,7 +176,7 @@
     "                    \"properties\": {\n",
     "                        \"message\": {\n",
     "                            \"type\": \"string\",\n",
-    "                            \"description\": \"question to ask expert. Make sure the question include enough context, such as the code and the execution result. The expert does not know the conversation between you and the user, unless you share the conversation with the expert.\",\n",
+    "                            \"description\": \"question to ask expert. Ensure the question includes enough context, such as the code and the execution result. The expert does not know the conversation between you and the user unless you share the conversation with the expert.\",\n",
     "                        },\n",
     "                    },\n",
     "                    \"required\": [\"message\"],\n",
@@ -202,7 +202,7 @@
    "source": [
     "## Perform a task\n",
     "\n",
-    "We invoke the `initiate_chat()` method of the student proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after the assistant agent sends a \"TERMINATE\" signal in the end of the message. If you don't provide any feedback (by pressing Enter directly), the conversation will finish. Before the \"TERMINATE\" signal, the student proxy agent will try to execute the code suggested by the assistant agent on behalf of the user."
+    "We invoke the `initiate_chat()` method of the student proxy agent to start the conversation. When you run the cell below, you will be prompted to provide feedback after the assistant agent sends a \"TERMINATE\" signal at the end of the message. The conversation will finish if you don't provide any feedback (by pressing Enter directly). Before the \"TERMINATE\" signal, the student proxy agent will try to execute the code suggested by the assistant agent on behalf of the user."
    ]
   },
   {