refactor readme (#26)

refactor readme, simulate style of
https://github.com/vladelaina/Catime
Closes #23
This commit is contained in:
4thfever
2026-01-13 00:03:09 +08:00
committed by GitHub
parent 95e1f11502
commit bb2e010930
2 changed files with 135 additions and 107 deletions

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@@ -78,7 +78,7 @@ You don't need to personally fight monsters or level up. Instead, you observe al
</tr>
</table>
### Why make this?
### 💭 Why make this?
The worlds in cultivation novels are fascinating, but readers can only ever observe a corner of them.
Cultivation games are either completely scripted or rely on simple state machines designed by humans, often resulting in forced and unintelligent behaviors.
@@ -87,13 +87,75 @@ With the advent of Large Language Models, the goal of making "every character al
I hope to create a pure, joyful, direct, and living sense of immersion in a cultivation world. Not a pure marketing tool for some game company, nor pure research like "Stanford Town", but an actual world that provides players with real immersion.
## Contact
## 📞 Contact
If you have any questions or suggestions, feel free to open an Issue or Pull Request.
You're also welcome to leave a message on my [Bilibili account](https://space.bilibili.com/527346837)!
You can also join the QQ group for discussion: 1071821688. Verification answer is my Bilibili nickname.
You can also join the QQ group for discussion: 1071821688. Verification answer: 肥桥今天吃什么
## Development Progress
## 🚀 Usage
### ⚙️ Run Steps
1. Clone the repo:
```bash
git clone https://github.com/your-username/cultivation-world-simulator.git
cd cultivation-world-simulator
```
2. Install dependencies:
```bash
# Backend dependencies
pip install -r requirements.txt
# Frontend dependencies (Node.js environment required)
cd web && npm install
```
3. Configure LLM:
Edit `static/config.yml`:
```yaml
llm:
key: "your-api-key-here" # your api key
base_url: "https://api.xxx.com" # API addr
model_name: "normal_model_name"
fast_model_name: "fast_model_name"
```
Supports all API providers compatible with OpenAI interface format (e.g., Qwen, DeepSeek, SiliconFlow, OpenRouter, etc.)
You can also configure LLM parameters directly in the frontend:
<img src="assets/llm_config.png" alt="Frontend LLM Config" width="100%">
4. Run:
```bash
# Start service (Recommended dev mode, automatically starts frontend)
python src/server/main.py --dev
```
The browser will automatically open the web frontend.
## 📊 Project Status
![Repobeats analytics](https://repobeats.axiom.co/api/embed/91667dce0fca651a7427022b2d819d20dd17c5e3.svg "Repobeats analytics image")
## ⭐ Star History
If you find this project interesting, please give us a Star ⭐! It will motivate us to keep improving and adding new features.
<div align="center">
<a href="https://star-history.com/#4thfever/cultivation-world-simulator&Date">
<img src="https://api.star-history.com/svg?repos=4thfever/cultivation-world-simulator&type=Date" alt="Star History Chart" width="600">
</a>
</div>
## 👥 Contributors
- Aku, for world design & discussion
- [@xzhseh](https://github.com/xzhseh), contributed code
## 🙏 Acknowledgments
- Referenced some UI elements from ailifeengine
## 📋 Development Progress
### 🏗️ Foundation
- ✅ World map basics, time, event system
@@ -207,7 +269,7 @@ You can also join the QQ group for discussion: 1071821688. Verification answer i
- ✅ Inject basic world knowledge
- ✅ User input history, dynamic generation of techniques, equipment, sects, and region info
### Specials
### Specials
- ✅ Fortuitous encounters
- ✅ Tribulations & Heart devils
- [ ] Possession & Rebirth
@@ -224,52 +286,4 @@ You can also join the QQ group for discussion: 1071821688. Verification answer i
### 🔭 Long-term
- [ ] Novelization/imagery/video for history and events
- [ ] Avatar calling MCP tools on their own
## Usage
### Run Steps
1. Clone the repo:
```bash
git clone https://github.com/your-username/cultivation-world-simulator.git
cd cultivation-world-simulator
```
2. Install dependencies:
```bash
# Backend dependencies
pip install -r requirements.txt
# Frontend dependencies (Node.js environment required)
cd web && npm install
```
3. Configure LLM:
Edit `static/config.yml`:
```yaml
llm:
key: "your-api-key-here" # your api key
base_url: "https://api.xxx.com" # API addr
model_name: "normal_model_name"
fast_model_name: "fast_model_name"
```
Supports all API providers compatible with OpenAI interface format (e.g., Qwen, DeepSeek, SiliconFlow, OpenRouter, etc.)
You can also configure LLM parameters directly in the frontend:
<img src="assets/llm_config.png" alt="Frontend LLM Config" width="100%">
4. Run:
```bash
# Start service (Recommended dev mode, automatically starts frontend)
python src/server/main.py --dev
```
The browser will automatically open the web frontend.
## Contributors
- Aku, for world design & discussion
- [@xzhseh](https://github.com/xzhseh), contributed code
## Acknowledgments
- Referenced some UI elements from ailifeengine
- [ ] Avatar calling MCP tools on their own