diff --git a/README.md b/README.md
index 81b6a876f..027b3b243 100644
--- a/README.md
+++ b/README.md
@@ -26,7 +26,7 @@ # MetaGPT: The Multi-Agent Framework
## News
-🚀 Mar. 14, 2024: Our Data Interpreter paper is on [arxiv](https://arxiv.org/abs/2402.18679). Check the [example](https://docs.deepwisdom.ai/main/en/DataInterpreter/) and [code](https://github.com/geekan/MetaGPT/tree/main/examples/di)!
+🚀 Mar. 14, 2024: Our **Data Interpreter** paper is on [arxiv](https://arxiv.org/abs/2402.18679). Check the [example](https://docs.deepwisdom.ai/main/en/DataInterpreter/) and [code](https://github.com/geekan/MetaGPT/tree/main/examples/di)!
🚀 Feb. 08, 2024: [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) released, supporting assigning different LLMs to different Roles. We also introduced [Data Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/di/README.md), a powerful agent capable of solving a wide range of real-world problems.
@@ -55,9 +55,9 @@ ## Software Company as Multi-Agent System
Software Company Multi-Agent Schematic (Gradually Implementing)
-## Install
+## Get Started
-### Pip installation
+### Installation
> Ensure that Python 3.9+ is installed on your system. You can check this by using: `python --version`.
> You can use conda like this: `conda create -n metagpt python=3.9 && conda activate metagpt`
@@ -68,6 +68,9 @@ # https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html
metagpt --init-config # it will create ~/.metagpt/config2.yaml, just modify it to your needs
```
+For detailed installation guidance, please refer to [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version)
+ or [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker)
+
### Configuration
You can configure `~/.metagpt/config2.yaml` according to the [example](https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml) and [doc](https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html):
@@ -82,13 +85,13 @@ ### Configuration
### Usage
-After installation, you can use it as CLI
+After installation, you can use MetaGPT at CLI
```bash
metagpt "Create a 2048 game" # this will create a repo in ./workspace
```
-or you can use it as library
+or use it as library
```python
from metagpt.software_company import generate_repo, ProjectRepo
@@ -96,47 +99,19 @@ ### Usage
print(repo) # it will print the repo structure with files
```
-detail installation please refer to [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version)
- or [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker)
+You can also use its [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di)
-### Docker installation
-⏬ Step 1: Download metagpt image and prepare config2.yaml :: click to expand ::
-
+```python
+import asyncio
+from metagpt.roles.di.data_interpreter import DataInterpreter
-```bash
-docker pull metagpt/metagpt:latest
-mkdir -p /opt/metagpt/{config,workspace}
-docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
-vim /opt/metagpt/config/config2.yaml # Change the config
+async def main():
+ di = DataInterpreter()
+ await di.run("Run data analysis on sklearn Iris dataset, include a plot")
+
+asyncio.run(main()) # or await main() in a jupyter notebook setting
```
-
-⏬ Step 2: Run metagpt container :: click to expand ::
-
-
-```bash
-docker run --name metagpt -d \
- --privileged \
- -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
- -v /opt/metagpt/workspace:/app/metagpt/workspace \
- metagpt/metagpt:latest
-```
-
-
-⏬ Step 3: Use metagpt :: click to expand ::
-
-
-```bash
-docker exec -it metagpt /bin/bash
-$ metagpt "Create a 2048 game" # this will create a repo in ./workspace
-```
-
-
-