From 38f4506ea344dc0d38f5459952b216d280f27d2c Mon Sep 17 00:00:00 2001
From: Tianbao Xie <47296835+Timothyxxx@users.noreply.github.com>
Date: Fri, 12 Apr 2024 18:25:05 +0800
Subject: [PATCH] Update README.md of agents

---
 mm_agents/README.md | 20 ++++++++++----------
 1 file changed, 10 insertions(+), 10 deletions(-)

diff --git a/mm_agents/README.md b/mm_agents/README.md
index ff97c2a..ccf95d4 100644
--- a/mm_agents/README.md
+++ b/mm_agents/README.md
@@ -2,7 +2,7 @@
 ## Prompt-based Agents
 
 ### Supported Models
-We currently support the following models as the foundation models for the agents:
+We currently support the following models as the foundational models for the agents:
 - `GPT-3.5` (gpt-3.5-turbo-16k, ...)
 - `GPT-4` (gpt-4-0125-preview, gpt-4-1106-preview, ...)
 - `GPT-4V` (gpt-4-vision-preview, ...)
@@ -11,13 +11,13 @@ We currently support the following models as the foundation models for the agent
 - `Claude-3, 2` (claude-3-haiku-2024030, claude-3-sonnet-2024022, ...)
 - ...
 
-And those from open-source community:
+And those from the open-source community:
 - `Mixtral 8x7B`
 - `QWEN`, `QWEN-VL`
 - `CogAgent`
 - ...
 
-And we will integrate and support more foundation models to support digital agent in the future, stay tuned.
+In the future, we will integrate and support more foundational models to enhance digital agents, so stay tuned.
 
 ### How to use
 
@@ -25,11 +25,11 @@ And we will integrate and support more foundation models to support digital agen
 from mm_agents.agent import PromptAgent
 
 agent = PromptAgent(
-    model="gpt-4-0125-preview",
+    model="gpt-4-vision-preview",
     observation_type="screenshot",
 )
 agent.reset()
-# say we have a instruction and observation
+# say we have an instruction and observation
 instruction = "Please help me to find the nearest restaurant."
 obs = {"screenshot": "path/to/observation.jpg"}
 response, actions = agent.predict(
@@ -40,16 +40,16 @@ response, actions = agent.predict(
 
 ### Observation Space and Action Space
 We currently support the following observation spaces:
-- `a11y_tree`: the a11y tree of the current screen
+- `a11y_tree`: the accessibility tree of the current screen
 - `screenshot`: a screenshot of the current screen
-- `screenshot_a11y_tree`: a screenshot of the current screen with a11y tree
-- `som`: the set-of-mark trick on the current screen, with a table metadata
+- `screenshot_a11y_tree`: a screenshot of the current screen with the accessibility tree overlay
+- `som`: the set-of-mark trick on the current screen, with table metadata included.
 
 And the following action spaces:
-- `pyautogui`: valid python code with `pyauotgui` code valid
+- `pyautogui`: valid Python code with `pyautogui` code valid
 - `computer_13`: a set of enumerated actions designed by us
 
-To use feed an observation into the agent, you have to keep the obs variable as a dict with the corresponding information:
+To feed an observation into the agent, you have to maintain the `obs` variable as a dict with the corresponding information:
 ```python
 obs = {
     "screenshot": "path/to/observation.jpg",