doc(README.md): add README

README.md

@@ -1,2 +1,67 @@
 # free-one-api
-Turn reverse engineering LLM lib to standard OpenAI GPT API.
+
+Turn reverse engineered LLM lib to standard OpenAI GPT API.  
+By using free-one-api, you can easily convert reverse engineered LLM libs (e.g. [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT) ) to standard OpenAI GPT API.  
+So other application supports OpenAI GPT API can use reverse engineered LLM libs directly.
+
+## Features
+
+- Automatically load balance.
+- Web UI.
+- Stream mode supported.
+
+### Supported LLM libs
+
+- [acheong08/ChatGPT](https://github.com/acheong08/ChatGPT)
+
+## Setup
+
+### Docker (Recommended)
+
+```bash
+docker run -d -p 3000:3000 --name free-one-api rockchin/free-one-api -v ./data:/app/data
+```
+
+then you can open the admin page at `http://localhost:3000/`.
+
+### Manual
+
+```bash
+git clone https://github.com/RockChinQ/free-one-api.git
+cd free-one-api
+
+cd web && npm install && npm run build && cd ..
+
+pip install -r requirements.txt
+python main.py
+```
+
+then you can open the admin page at `http://localhost:3000/`.
+
+## Usage
+
+Create channel on the admin page, create a new key.  
+Set the url (e.g. http://localhost:3000/v1 ) as OpenAI endpoint, and set the generated key as OpenAI api key.  
+Then you can use the OpenAI API to access the reverse engineered LLM lib.
+
+```curl
+# curl example
+curl http://localhost:3000/v1/chat/completions \
+  -X POST \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer $OPENAI_API_KEY" \
+  -d '{
+    "model": "gpt-3.5-turbo",
+    "messages": [
+      {
+        "role": "system",
+        "content": "You are a helpful assistant."
+      },
+      {
+        "role": "user",
+        "content": "Hello!"
+      }
+    ],
+    "stream": true
+  }'
+```