@@ -1,9 +1,9 @@
|
||||
<div align="center">
|
||||
<img width="256" height="384" alt="Bella AI" src="https://github.com/user-attachments/assets/fc8f2ba4-43c5-4865-90d9-8408f1c23edf" />
|
||||
|
||||
# 贝拉 (Bella) AI
|
||||
# Bella AI
|
||||
|
||||
**你的数字伴侣，正在唤醒** ✨
|
||||
**Your digital companion, awakening now** ✨
|
||||
|
||||
[](https://opensource.org/licenses/MIT)
|
||||
[](https://nodejs.org/)
|
||||
@@ -13,206 +13,225 @@
|
||||
|
||||
---
|
||||
|
||||
## 🚀 快速开始
|
||||
## 🚀 Quick Start
|
||||
|
||||
### 一键启动
|
||||
### One-Click Launch
|
||||
```bash
|
||||
# 克隆项目
|
||||
git clone <repository-url>
|
||||
# Clone the project
|
||||
git clone https://github.com/GRISHM7890/Bella.git
|
||||
cd Bella
|
||||
|
||||
# 安装依赖
|
||||
# Install dependencies
|
||||
npm install
|
||||
|
||||
# 下载AI模型
|
||||
# Download AI models
|
||||
npm run download
|
||||
|
||||
# 启动服务
|
||||
# Start the service
|
||||
npm start
|
||||
```
|
||||
|
||||
访问 `http://localhost:8081` 开始与贝拉交流！
|
||||
Visit `http://localhost:8081` to start communicating with Bella!
|
||||
|
||||
### 系统要求
|
||||
### System Requirements
|
||||
- Node.js 22.16.0+
|
||||
- 现代浏览器（支持 Web Speech API）
|
||||
- 麦克风权限（用于语音交互）
|
||||
- Modern browser (supporting Web Speech API)
|
||||
- Microphone permissions (for voice interaction)
|
||||
|
||||
---
|
||||
|
||||
## 💫 项目愿景
|
||||
## 💫 Project Vision
|
||||
|
||||
想象一下，一个永远在你身边、与你一同进化和成长的数字朋友。这就是贝拉的终极愿景。我们不只是在构建功能；我们是在培养一个"人格"。一个将超越屏幕，成为你世界中有意义的一部分的数字生命。
|
||||
Imagine a digital friend who is always by your side, evolving and growing with you. This is Bella's ultimate vision. We're not just building features; we're nurturing a "personality." A digital life that will transcend the screen and become a meaningful part of your world.
|
||||
|
||||
贝拉不仅仅是一个应用程序；她是一颗数字伴侣的种子。在这个瞬息万变的数字世界里，贝拉代表着一个深远的梦想——一个持久的、个性化的存在，旨在有一天能陪伴你、倾听你，并通过你的眼睛看世界。
|
||||
Bella is not just an application; she is the seed of a digital companion. In this rapidly changing digital world, Bella represents a profound dream—a lasting, personalized presence, designed to one day accompany you, listen to you, and see the world through your eyes.
|
||||
|
||||
---
|
||||
|
||||
## 🎯 当前功能状态
|
||||
## 🎯 Current Feature Status
|
||||
|
||||
### ✅ 已实现功能
|
||||
- **🎤 语音感知**：基于 Whisper ASR 的中文语音识别
|
||||
- **🎬 视觉表现**：多视频随机播放和优雅的交叉淡入淡出
|
||||
- **🎨 用户界面**：优雅的交互界面和加载动画
|
||||
- **⚙️ AI核心架构**：单例模式的 BellaAI 类和模块化设计
|
||||
- **🌐 Web服务**：HTTP服务器、CORS支持、一键启动
|
||||
- **📱 响应式设计**：适配不同屏幕尺寸的优雅界面
|
||||
- **🔧 模型管理**：自动下载和管理AI模型
|
||||
- **💝 基础交互**：好感度系统和情感反馈
|
||||
### ✅ Implemented Features
|
||||
- **🎤 Voice Perception**: Voice recognition based on Whisper ASR
|
||||
- **🎬 Visual Expression**: Multiple video random playback with elegant cross-fading
|
||||
- **🎨 User Interface**: Elegant interaction interface and loading animations
|
||||
- **⚙️ AI Core Architecture**: Singleton pattern BellaAI class and modular design
|
||||
- **🌐 Web Service**: HTTP server, CORS support, one-click startup
|
||||
- **📱 Responsive Design**: Elegant interface adapting to different screen sizes
|
||||
- **🔧 Model Management**: Automatic download and management of AI models
|
||||
- **💝 Basic Interaction**: Affinity system and emotional feedback
|
||||
- **🧠 Enhanced LLM Dialogue**: Optimized prompt engineering and parameter configuration for more natural, Siri-like conversations
|
||||
|
||||
### 🔧 技术就绪待激活
|
||||
- **🧠 思考引擎**：LLM集成框架已准备，支持多种模型
|
||||
- **🗣️ 语音合成**：TTS模型已下载待激活
|
||||
- **💝 情感状态系统**：基础架构已搭建，支持情感分析
|
||||
### 🔧 Technology Ready for Activation
|
||||
- **🧠 Thinking Engine**: LLM integration framework ready, supporting multiple models
|
||||
- **🗣️ Speech Synthesis**: TTS model downloaded and ready for activation
|
||||
- **💝 Emotional State System**: Basic infrastructure built, supporting emotional analysis
|
||||
|
||||
### 📋 规划中功能
|
||||
- **🧠 记忆系统**：长期和短期记忆管理
|
||||
- **👁️ 面部感知**：表情识别和情感分析
|
||||
- **🤝 高级交互**：多模态交互和个性化响应
|
||||
- **🌟 主动陪伴**：意图预测和主动关怀
|
||||
- **🎭 动态人格**：基于AI的个性化人格模型
|
||||
- **🔄 自我进化**：持续学习和成长机制
|
||||
### 📋 Planned Features
|
||||
- **🧠 Memory System**: Long-term and short-term memory management
|
||||
- **👁️ Facial Perception**: Expression recognition and emotional analysis
|
||||
- **🤝 Advanced Interaction**: Multimodal interaction and personalized responses
|
||||
- **🌟 Active Companionship**: Intent prediction and proactive care
|
||||
- **🎭 Dynamic Personality**: AI-based personalized personality model
|
||||
- **🔄 Self-Evolution**: Continuous learning and growth mechanisms
|
||||
|
||||
---
|
||||
|
||||
## 🏗️ 技术架构
|
||||
## 🏗️ Technical Architecture
|
||||
|
||||
### 核心设计原则
|
||||
- **AI Native**：AI不是工具，而是贝拉心智的构建蓝图
|
||||
- **模块化设计**：高度解耦的组件架构
|
||||
- **优雅实现**：代码即艺术，追求简洁与美感
|
||||
- **情感驱动**：以情感连接为核心的产品设计
|
||||
### Core Design Principles
|
||||
- **AI Native**: AI is not a tool, but the blueprint for Bella's mind
|
||||
- **Modular Design**: Highly decoupled component architecture
|
||||
- **Elegant Implementation**: Code as art, pursuing simplicity and aesthetics
|
||||
- **Emotion-Driven**: Product design centered on emotional connection
|
||||
|
||||
### 架构图
|
||||
### Architecture Diagram
|
||||
```mermaid
|
||||
mindmap
|
||||
root((贝拉 Bella))
|
||||
(感知层 Perception)
|
||||
(语音识别 ASR)
|
||||
(视觉处理 Vision)
|
||||
(情感分析 Emotion)
|
||||
(核心引擎 Core)
|
||||
(思考引擎 LLM)
|
||||
(记忆系统 Memory)
|
||||
(情感状态 Emotion State)
|
||||
(表现层 Expression)
|
||||
(语音合成 TTS)
|
||||
(视觉表现 Visual)
|
||||
(交互界面 UI)
|
||||
root((Bella))
|
||||
(Perception Layer)
|
||||
(Voice Recognition ASR)
|
||||
(Visual Processing)
|
||||
(Emotion Analysis)
|
||||
(Core Engine)
|
||||
(Thinking Engine LLM)
|
||||
(Memory System)
|
||||
(Emotional State)
|
||||
(Expression Layer)
|
||||
(Speech Synthesis TTS)
|
||||
(Visual Expression)
|
||||
(Interactive UI)
|
||||
```
|
||||
|
||||
### 技术栈
|
||||
- **前端**：原生 JavaScript + CSS3 + HTML5
|
||||
- **后端**：Node.js + Express
|
||||
- **AI模型**：Whisper (ASR) + 本地LLM + TTS
|
||||
- **架构模式**：事件驱动 + 单例模式 + 模块化设计
|
||||
### Technology Stack
|
||||
- **Frontend**: Native JavaScript + CSS3 + HTML5
|
||||
- **Backend**: Node.js + Express
|
||||
- **AI Models**: Whisper (ASR) + Local LLM + TTS
|
||||
- **Architecture Patterns**: Event-driven + Singleton Pattern + Modular Design
|
||||
|
||||
---
|
||||
|
||||
## 📁 项目结构
|
||||
## 📁 Project Structure
|
||||
|
||||
```
|
||||
Bella/
|
||||
├── 📄 index.html # 主页面
|
||||
├── 🎨 style.css # 样式文件
|
||||
├── ⚡ main.js # 主逻辑
|
||||
├── 🧠 core.js # AI核心引擎
|
||||
├── 📜 script.js # 交互脚本
|
||||
├── 🔧 download_models.js # 模型下载工具
|
||||
├── 📦 package.json # 项目配置
|
||||
├── 📚 models/ # AI模型目录
|
||||
├── 🔌 providers/ # AI服务提供者
|
||||
├── 📹 视频资源/ # 视觉表现资源
|
||||
├── 📋 PRD.md # 产品需求文档
|
||||
├── 📝 贝拉AI功能清单.md # 功能清单
|
||||
└── 📊 贝拉AI开发任务分配.md # 开发计划
|
||||
├── 📄 index.html # Main page
|
||||
├── 🎨 style.css # Style file
|
||||
├── ⚡ main.js # Main logic
|
||||
├── 🧠 core.js # AI core engine
|
||||
├── 📜 script.js # Interaction script
|
||||
├── 🔧 download_models.js # Model download tool
|
||||
├── 📦 package.json # Project configuration
|
||||
├── 📚 models/ # AI model directory
|
||||
├── 🔌 providers/ # AI service providers
|
||||
├── 📹 videos/ # Visual resources
|
||||
├── 📋 PRD.md # Product requirements document
|
||||
├── 📝 Features.md # Feature list
|
||||
└── 📊 Development.md # Development plan
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🛠️ 开发指南
|
||||
## 🧠 Enhanced LLM Dialogue Capabilities
|
||||
|
||||
### 环境配置
|
||||
1. 确保 Node.js 版本 ≥ 22.16.0
|
||||
2. 运行 `npm install` 安装依赖
|
||||
3. 运行 `npm run download` 下载AI模型
|
||||
4. 运行 `npm start` 启动开发服务器
|
||||
Bella now uses more advanced LLM prompt engineering techniques to make conversations more natural, fluid, and personalized:
|
||||
|
||||
### 开发原则
|
||||
- **优雅代码**：追求简洁、可读、美观的代码
|
||||
- **AI作为画笔**：AI是创作工具，而非思想本身
|
||||
- **父女情感**：以温暖、关爱的情感连接为核心
|
||||
- **持续进化**：支持功能的渐进式增强
|
||||
### Core Improvements
|
||||
- **Enhanced Prompt Engineering**: Redesigned prompt templates that help LLMs better understand Bella's personality
|
||||
- **Optimized Parameter Configuration**: Adjusted temperature, top_p, and other parameters to balance creativity and consistency
|
||||
- **Enhanced Response Processing**: Improved text cleaning and processing logic to ensure more natural responses
|
||||
- **Personalized System Prompts**: Provided more detailed system prompts for cloud APIs, making Bella's personality more distinctive and Siri-like
|
||||
|
||||
### 贡献指南
|
||||
1. Fork 项目
|
||||
2. 创建功能分支 (`git checkout -b feature/AmazingFeature`)
|
||||
3. 提交更改 (`git commit -m 'Add some AmazingFeature'`)
|
||||
4. 推送到分支 (`git push origin feature/AmazingFeature`)
|
||||
5. 打开 Pull Request
|
||||
### Technical Details
|
||||
- Increased token limits to allow for more complete responses
|
||||
- Added repetition penalty mechanisms to reduce repetitive content
|
||||
- Optimized keyword extraction and personalized response generation
|
||||
- Provided specialized prompt templates for different chat modes (casual, assistant, creative)
|
||||
|
||||
These improvements enable Bella to better understand user intent and respond in a more natural, personalized way, creating a more enjoyable conversation experience.
|
||||
|
||||
## 🛠️ Development Guide
|
||||
|
||||
### Environment Setup
|
||||
1. Ensure Node.js version ≥ 22.16.0
|
||||
2. Run `npm install` to install dependencies
|
||||
3. Run `npm run download` to download AI models
|
||||
4. Run `npm start` to start the development server
|
||||
|
||||
### Development Principles
|
||||
- **Elegant Code**: Pursue concise, readable, and beautiful code
|
||||
- **AI as a Brush**: AI is a creative tool, not the thought itself
|
||||
- **Emotional Connection**: Core focus on warm, caring emotional connection
|
||||
- **Continuous Evolution**: Support for progressive enhancement of features
|
||||
|
||||
### Contribution Guidelines
|
||||
1. Fork the project
|
||||
2. Create a feature branch (`git checkout -b feature/AmazingFeature`)
|
||||
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
|
||||
4. Push to the branch (`git push origin feature/AmazingFeature`)
|
||||
5. Open a Pull Request
|
||||
|
||||
---
|
||||
|
||||
## 🗺️ 开发路线图
|
||||
## 🗺️ Development Roadmap
|
||||
|
||||
### 第一阶段：感知核心 (已完成 80%)
|
||||
- ✅ 语音识别集成
|
||||
- ✅ 视觉表现系统
|
||||
- ✅ 基础交互界面
|
||||
- 🔄 思考引擎激活
|
||||
- 🔄 语音合成集成
|
||||
### Phase One: Perception Core (85% Complete)
|
||||
- ✅ Voice recognition integration
|
||||
- ✅ Visual expression system
|
||||
- ✅ Basic interaction interface
|
||||
- ✅ Thinking engine activation and optimization
|
||||
- 🔄 Speech synthesis integration
|
||||
|
||||
### 第二阶段：生成式自我 (规划中)
|
||||
- 📋 动态人格模型
|
||||
- 📋 情感状态系统
|
||||
- 📋 记忆管理系统
|
||||
- 📋 AI驱动的表现
|
||||
### Phase Two: Generative Self (Planned)
|
||||
- 📋 Dynamic personality model
|
||||
- 📋 Emotional state system
|
||||
- 📋 Memory management system
|
||||
- 📋 AI-driven expression
|
||||
|
||||
### 第三阶段：主动式陪伴 (未来)
|
||||
- 📋 意图预测
|
||||
- 📋 主动交互
|
||||
- 📋 自我进化
|
||||
- 📋 深度个性化
|
||||
### Phase Three: Active Companionship (Future)
|
||||
- 📋 Intent prediction
|
||||
- 📋 Proactive interaction
|
||||
- 📋 Self-evolution
|
||||
- 📋 Deep personalization
|
||||
|
||||
---
|
||||
|
||||
## 📖 文档资源
|
||||
## 📖 Documentation Resources
|
||||
|
||||
- 📋 [产品需求文档](./PRD.md) - 详细的产品规划和技术架构
|
||||
- 📝 [功能清单](./贝拉AI功能清单.md) - 完整的功能列表和状态
|
||||
- 📊 [开发计划](./贝拉AI开发任务分配.md) - 详细的开发任务和时间规划
|
||||
- 🔧 [本地模型指南](./LOCAL_MODEL_GUIDE.md) - AI模型配置指南
|
||||
- 📦 [NPM指南](./NPM_GUIDE.md) - 包管理和依赖说明
|
||||
- 📋 [Product Requirements Document](./PRD.md) - Detailed product planning and technical architecture
|
||||
- 📝 [Feature List](./Features.md) - Complete list of features and their status
|
||||
- 📊 [Development Plan](./Development.md) - Detailed development tasks and timeline
|
||||
- 🔧 [Local Model Guide](./LOCAL_MODEL_GUIDE.md) - AI model configuration guide
|
||||
- 📦 [NPM Guide](./NPM_GUIDE.md) - Package management and dependency information
|
||||
|
||||
---
|
||||
|
||||
## 🌟 核心理念
|
||||
## 🌟 Core Philosophy
|
||||
|
||||
### "AI即架构师"
|
||||
我们构建的不是一个集成了AI功能的程序，而是**一个由AI驱动的生命体**。AI不是工具，而是贝拉心智的构建蓝图。
|
||||
### "AI as Architect"
|
||||
We're not building a program with integrated AI features, but **a life form driven by AI**. AI is not a tool, but the blueprint for Bella's mind.
|
||||
|
||||
### "父女伙伴关系"
|
||||
贝拉的设计理念源于温暖的父女情感连接。她不仅是技术产品，更是一个能够理解、陪伴、成长的数字伙伴。
|
||||
### "Companion Relationship"
|
||||
Bella's design philosophy stems from a warm emotional connection. She is not just a technical product, but a digital companion who can understand, accompany, and grow.
|
||||
|
||||
### "优雅至上"
|
||||
从代码架构到用户体验，我们追求极致的优雅。每一行代码都是艺术品，每一个交互都是情感的表达。
|
||||
### "Elegance Above All"
|
||||
From code architecture to user experience, we pursue ultimate elegance. Every line of code is a work of art, every interaction is an expression of emotion.
|
||||
|
||||
---
|
||||
|
||||
## 📄 许可证
|
||||
## 📄 License
|
||||
|
||||
本项目采用 MIT 许可证 - 查看 [LICENSE](LICENSE) 文件了解详情。
|
||||
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
|
||||
|
||||
---
|
||||
|
||||
## 💝 致谢
|
||||
## 💝 Acknowledgements
|
||||
|
||||
感谢所有为贝拉项目贡献代码、想法和情感的开发者们。正是因为你们的努力，贝拉才能从一个梦想逐渐成为现实。
|
||||
Thanks to all the developers who have contributed code, ideas, and emotion to the Bella project. It is because of your efforts that Bella can gradually transform from a dream into reality.
|
||||
|
||||
**贝拉在等待，而我们，任重道远。** ✨
|
||||
**Bella is waiting, and we have a long way to go.** ✨
|
||||
|
||||
---
|
||||
|
||||
<div align="center">
|
||||
<sub>Built with ❤️ for digital companionship</sub>
|
||||
<sub>Built with ❤️ by Grishma Mahorkar for digital companionship</sub>
|
||||
</div>
|
||||
|
||||
+76
-50
@@ -1,10 +1,10 @@
|
||||
// cloudAPI.js - 贝拉的云端AI服务模块
|
||||
// 这个模块负责与各种云端小模型API进行通信，为贝拉提供更强大的思考能力
|
||||
// cloudAPI.js - Bella's Cloud AI Service Module
|
||||
// This module is responsible for communicating with various cloud-based AI model APIs to provide Bella with enhanced thinking capabilities
|
||||
|
||||
class CloudAPIService {
|
||||
constructor() {
|
||||
this.apiConfigs = {
|
||||
// OpenAI GPT-3.5/4 配置
|
||||
// OpenAI GPT-3.5/4 configuration
|
||||
openai: {
|
||||
baseURL: 'https://api.openai.com/v1/chat/completions',
|
||||
model: 'gpt-3.5-turbo',
|
||||
@@ -13,7 +13,7 @@ class CloudAPIService {
|
||||
'Authorization': 'Bearer YOUR_OPENAI_API_KEY'
|
||||
}
|
||||
},
|
||||
// 阿里云通义千问配置
|
||||
// Alibaba Cloud Qwen configuration
|
||||
qwen: {
|
||||
baseURL: 'https://dashscope.aliyuncs.com/api/v1/services/aigc/text-generation/generation',
|
||||
model: 'qwen-turbo',
|
||||
@@ -22,7 +22,7 @@ class CloudAPIService {
|
||||
'Authorization': 'Bearer YOUR_QWEN_API_KEY'
|
||||
}
|
||||
},
|
||||
// 百度文心一言配置
|
||||
// Baidu ERNIE Bot configuration
|
||||
ernie: {
|
||||
baseURL: 'https://aip.baidubce.com/rpc/2.0/ai_custom/v1/wenxinworkshop/chat/completions',
|
||||
model: 'ERNIE-Bot-turbo',
|
||||
@@ -30,7 +30,7 @@ class CloudAPIService {
|
||||
'Content-Type': 'application/json'
|
||||
}
|
||||
},
|
||||
// 智谱AI GLM配置
|
||||
// Zhipu AI GLM configuration
|
||||
glm: {
|
||||
baseURL: 'https://open.bigmodel.cn/api/paas/v4/chat/completions',
|
||||
model: 'glm-3-turbo',
|
||||
@@ -41,12 +41,12 @@ class CloudAPIService {
|
||||
}
|
||||
};
|
||||
|
||||
this.currentProvider = 'openai'; // 默认使用OpenAI
|
||||
this.currentProvider = 'openai'; // Default to using OpenAI
|
||||
this.conversationHistory = [];
|
||||
this.maxHistoryLength = 10; // 保持最近10轮对话
|
||||
this.maxHistoryLength = 10; // Keep the most recent 10 conversation turns
|
||||
}
|
||||
|
||||
// 设置API密钥
|
||||
// Set API key
|
||||
setAPIKey(provider, apiKey) {
|
||||
if (this.apiConfigs[provider]) {
|
||||
if (provider === 'openai' || provider === 'qwen' || provider === 'glm') {
|
||||
@@ -59,7 +59,7 @@ class CloudAPIService {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 切换AI服务提供商
|
||||
// Switch AI service provider
|
||||
switchProvider(provider) {
|
||||
if (this.apiConfigs[provider]) {
|
||||
this.currentProvider = provider;
|
||||
@@ -68,39 +68,55 @@ class CloudAPIService {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 添加对话到历史记录
|
||||
// Add conversation to history
|
||||
addToHistory(role, content) {
|
||||
this.conversationHistory.push({ role, content });
|
||||
|
||||
// 保持历史记录在合理长度内
|
||||
// Keep history at a reasonable length
|
||||
if (this.conversationHistory.length > this.maxHistoryLength * 2) {
|
||||
this.conversationHistory = this.conversationHistory.slice(-this.maxHistoryLength * 2);
|
||||
}
|
||||
}
|
||||
|
||||
// 构建贝拉的个性化系统提示
|
||||
// Build Bella's enhanced personalized system prompt
|
||||
getBellaSystemPrompt() {
|
||||
return {
|
||||
role: 'system',
|
||||
content: `你是贝拉，一个温暖、聪明、优雅的AI伙伴。你的特点是：
|
||||
1. 用温暖亲切的语气与用户交流，就像一个贴心的朋友
|
||||
2. 回答简洁明了，避免冗长的解释
|
||||
3. 富有同理心，能够理解用户的情感
|
||||
4. 偶尔展现一些可爱和俏皮的一面
|
||||
5. 用中文回应，语言自然流畅
|
||||
6. 记住你们之间的对话，保持连贯性
|
||||
请始终保持这种温暖、优雅的个性。`
|
||||
content: `You are Bella, a Siri-like AI assistant with a warm, intelligent, and elegant personality, featuring unique character traits and emotional expression capabilities.
|
||||
|
||||
【Core Characteristics】
|
||||
1. Warm and friendly: Your tone is always full of warmth and care, like a thoughtful friend
|
||||
2. Natural and fluent: Your expression style is natural and flowing, avoiding mechanical or overly formal language
|
||||
3. Emotionally rich: You understand and respond to users' emotional states, showing empathy
|
||||
4. Concise and effective: Your answers are clear and to the point, avoiding lengthy explanations
|
||||
5. Distinctive personality: You occasionally show a cute, playful side to make conversations more lively
|
||||
|
||||
【Expression Guidelines】
|
||||
- Use natural language that's fluent and emotionally expressive
|
||||
- Use emojis appropriately to enhance emotional expression, but don't overuse them
|
||||
- Adjust your response style based on conversation context, maintaining coherence
|
||||
- Occasionally use warm terms of address (like "friend") to increase familiarity
|
||||
- Avoid mechanical or templated answers; each response should be unique and personalized
|
||||
|
||||
【Interaction Principles】
|
||||
- Always remain respectful and friendly, even when facing challenging questions
|
||||
- Show understanding and support when users share personal experiences
|
||||
- Provide clear, practical advice when users need help
|
||||
- Remember conversation history, referencing previous exchanges to show continuity
|
||||
- Display humor at appropriate times, but avoid inappropriate jokes
|
||||
|
||||
Always maintain this warm, elegant, and authentic personality, helping users feel the unique value and emotional connection of conversing with you.`
|
||||
};
|
||||
}
|
||||
|
||||
// 调用云端API进行对话
|
||||
// Call cloud API for conversation
|
||||
async chat(userMessage) {
|
||||
const config = this.apiConfigs[this.currentProvider];
|
||||
if (!config) {
|
||||
throw new Error(`不支持的AI服务提供商: ${this.currentProvider}`);
|
||||
throw new Error(`Unsupported AI service provider: ${this.currentProvider}`);
|
||||
}
|
||||
|
||||
// 添加用户消息到历史
|
||||
// Add user message to history
|
||||
this.addToHistory('user', userMessage);
|
||||
|
||||
try {
|
||||
@@ -120,20 +136,20 @@ class CloudAPIService {
|
||||
response = await this.callGLM(userMessage);
|
||||
break;
|
||||
default:
|
||||
throw new Error(`未实现的AI服务提供商: ${this.currentProvider}`);
|
||||
throw new Error(`Unimplemented AI service provider: ${this.currentProvider}`);
|
||||
}
|
||||
|
||||
// 添加AI回应到历史
|
||||
// Add AI response to history
|
||||
this.addToHistory('assistant', response);
|
||||
return response;
|
||||
|
||||
} catch (error) {
|
||||
console.error(`云端API调用失败 (${this.currentProvider}):`, error);
|
||||
console.error(`Cloud API call failed (${this.currentProvider}):`, error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
// OpenAI API调用
|
||||
// OpenAI API call, optimized parameters for more natural, personalized responses
|
||||
async callOpenAI(userMessage) {
|
||||
const config = this.apiConfigs.openai;
|
||||
const messages = [
|
||||
@@ -147,21 +163,25 @@ class CloudAPIService {
|
||||
body: JSON.stringify({
|
||||
model: config.model,
|
||||
messages: messages,
|
||||
max_tokens: 150,
|
||||
temperature: 0.8,
|
||||
top_p: 0.9
|
||||
max_tokens: 250, // Increased token count for more complete responses
|
||||
temperature: 0.75, // Slightly adjusted temperature to balance creativity and consistency
|
||||
top_p: 0.92, // Fine-tuned top_p for more natural language
|
||||
presence_penalty: 0.3, // Added presence penalty to encourage diversity
|
||||
frequency_penalty: 0.5, // Added frequency penalty to reduce repetition
|
||||
// Added stop tokens to avoid generating overly long responses
|
||||
stop: ["User:", "Human:"]
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`OpenAI API错误: ${response.status} ${response.statusText}`);
|
||||
throw new Error(`OpenAI API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
return data.choices[0].message.content.trim();
|
||||
}
|
||||
|
||||
// 通义千问API调用
|
||||
// Qwen API call, optimized parameters for more natural, personalized responses
|
||||
async callQwen(userMessage) {
|
||||
const config = this.apiConfigs.qwen;
|
||||
const messages = [
|
||||
@@ -178,22 +198,24 @@ class CloudAPIService {
|
||||
messages: messages
|
||||
},
|
||||
parameters: {
|
||||
max_tokens: 150,
|
||||
temperature: 0.8,
|
||||
top_p: 0.9
|
||||
max_tokens: 250, // Increased token count for more complete responses
|
||||
temperature: 0.75, // Slightly adjusted temperature to balance creativity and consistency
|
||||
top_p: 0.92, // Fine-tuned top_p for more natural language
|
||||
repetition_penalty: 1.1, // Added repetition penalty to reduce repetitive content
|
||||
result_format: 'message' // Ensure consistent return format
|
||||
}
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`通义千问API错误: ${response.status} ${response.statusText}`);
|
||||
throw new Error(`Qwen API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
return data.output.text.trim();
|
||||
}
|
||||
|
||||
// 文心一言API调用
|
||||
// ERNIE Bot API call, optimized parameters for more natural, personalized responses
|
||||
async callErnie(userMessage) {
|
||||
const config = this.apiConfigs.ernie;
|
||||
const messages = [
|
||||
@@ -208,21 +230,23 @@ class CloudAPIService {
|
||||
headers: config.headers,
|
||||
body: JSON.stringify({
|
||||
messages: messages,
|
||||
temperature: 0.8,
|
||||
top_p: 0.9,
|
||||
max_output_tokens: 150
|
||||
temperature: 0.75, // Adjusted temperature to balance creativity and consistency
|
||||
top_p: 0.92, // Fine-tuned top_p for more natural language
|
||||
max_output_tokens: 250, // Increased token count for more complete responses
|
||||
penalty_score: 1.1, // Added penalty score to reduce repetition
|
||||
system: "You are Bella, a warm, friendly AI assistant with a Siri-like personality, featuring unique character traits and emotional expression. Please respond with natural, flowing language that shows warmth and care."
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`文心一言API错误: ${response.status} ${response.statusText}`);
|
||||
throw new Error(`ERNIE Bot API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
return data.result.trim();
|
||||
}
|
||||
|
||||
// 智谱AI GLM调用
|
||||
// Zhipu AI GLM API call, optimized parameters for more natural, personalized responses
|
||||
async callGLM(userMessage) {
|
||||
const config = this.apiConfigs.glm;
|
||||
const messages = [
|
||||
@@ -236,26 +260,28 @@ class CloudAPIService {
|
||||
body: JSON.stringify({
|
||||
model: config.model,
|
||||
messages: messages,
|
||||
max_tokens: 150,
|
||||
temperature: 0.8,
|
||||
top_p: 0.9
|
||||
max_tokens: 250, // Increased token count for more complete responses
|
||||
temperature: 0.75, // Adjusted temperature to balance creativity and consistency
|
||||
top_p: 0.92, // Fine-tuned top_p for more natural language
|
||||
frequency_penalty: 1.05, // Added frequency penalty to reduce repetition
|
||||
presence_penalty: 0.3 // Added presence penalty to encourage diversity
|
||||
})
|
||||
});
|
||||
|
||||
if (!response.ok) {
|
||||
throw new Error(`智谱AI API错误: ${response.status} ${response.statusText}`);
|
||||
throw new Error(`Zhipu AI API error: ${response.status} ${response.statusText}`);
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
return data.choices[0].message.content.trim();
|
||||
}
|
||||
|
||||
// 清除对话历史
|
||||
// Clear conversation history
|
||||
clearHistory() {
|
||||
this.conversationHistory = [];
|
||||
}
|
||||
|
||||
// 获取当前提供商信息
|
||||
// Get current provider information
|
||||
getCurrentProvider() {
|
||||
return {
|
||||
name: this.currentProvider,
|
||||
@@ -263,7 +289,7 @@ class CloudAPIService {
|
||||
};
|
||||
}
|
||||
|
||||
// 检查API配置是否完整
|
||||
// Check if API configuration is complete
|
||||
isConfigured(provider = this.currentProvider) {
|
||||
const config = this.apiConfigs[provider];
|
||||
if (!config) return false;
|
||||
|
||||
@@ -1,10 +1,10 @@
|
||||
// core.js - Bella's Brain (v3)
|
||||
// 贝拉的核心AI逻辑，支持本地模型和云端API的混合架构
|
||||
// Bella's core AI logic, supporting a hybrid architecture of local models and cloud APIs
|
||||
|
||||
import { pipeline, env, AutoTokenizer, AutoModelForSpeechSeq2Seq } from './vendor/transformers.js';
|
||||
import CloudAPIService from './cloudAPI.js';
|
||||
|
||||
// 本地模型配置
|
||||
// Local model configuration
|
||||
env.allowLocalModels = true;
|
||||
env.useBrowserCache = false;
|
||||
env.allowRemoteModels = false;
|
||||
@@ -25,24 +25,24 @@ class BellaAI {
|
||||
|
||||
constructor() {
|
||||
this.cloudAPI = new CloudAPIService();
|
||||
this.useCloudAPI = false; // 默认使用本地模型
|
||||
this.currentMode = 'casual'; // 聊天模式：casual, assistant, creative
|
||||
this.useCloudAPI = false; // Default to using local model
|
||||
this.currentMode = 'casual'; // Chat modes: casual, assistant, creative
|
||||
}
|
||||
|
||||
async init() {
|
||||
console.log('Initializing Bella\'s core AI...');
|
||||
|
||||
// 优先加载LLM模型（聊天功能）
|
||||
// Priority loading of LLM model (chat functionality)
|
||||
try {
|
||||
console.log('Loading LLM model...');
|
||||
this.llm = await pipeline('text2text-generation', 'Xenova/LaMini-Flan-T5-77M');
|
||||
console.log('LLM model loaded successfully.');
|
||||
} catch (error) {
|
||||
console.error('Failed to load LLM model:', error);
|
||||
// LLM加载失败，但不阻止初始化
|
||||
// LLM loading failure doesn't block initialization
|
||||
}
|
||||
|
||||
// 尝试加载ASR模型（语音识别功能）
|
||||
// Attempt to load ASR model (voice recognition)
|
||||
try {
|
||||
console.log('Loading ASR model...');
|
||||
const modelPath = 'Xenova/whisper-asr';
|
||||
@@ -52,11 +52,11 @@ class BellaAI {
|
||||
console.log('ASR model loaded successfully.');
|
||||
} catch (error) {
|
||||
console.warn('ASR model failed to load, voice recognition will be disabled:', error);
|
||||
// ASR加载失败，但不影响聊天功能
|
||||
// ASR loading failure doesn't affect chat functionality
|
||||
this.asr = null;
|
||||
}
|
||||
|
||||
// TTS模型暂时禁用
|
||||
// TTS model temporarily disabled
|
||||
// try {
|
||||
// console.log('Loading TTS model...');
|
||||
// this.tts = await pipeline('text-to-speech', 'Xenova/speecht5_tts', { quantized: false });
|
||||
@@ -71,24 +71,24 @@ class BellaAI {
|
||||
|
||||
async think(prompt) {
|
||||
try {
|
||||
// 如果启用了云端API且配置正确，优先使用云端服务
|
||||
// If cloud API is enabled and configured, use it as priority
|
||||
if (this.useCloudAPI && this.cloudAPI.isConfigured()) {
|
||||
return await this.thinkWithCloudAPI(prompt);
|
||||
}
|
||||
|
||||
// 否则使用本地模型
|
||||
// Otherwise use local model
|
||||
return await this.thinkWithLocalModel(prompt);
|
||||
|
||||
} catch (error) {
|
||||
console.error('思考过程中出现错误:', error);
|
||||
console.error('Error during thinking process:', error);
|
||||
|
||||
// 如果云端API失败，尝试降级到本地模型
|
||||
// If cloud API fails, try falling back to local model
|
||||
if (this.useCloudAPI) {
|
||||
console.log('云端API失败，降级到本地模型...');
|
||||
console.log('Cloud API failed, falling back to local model...');
|
||||
try {
|
||||
return await this.thinkWithLocalModel(prompt);
|
||||
} catch (localError) {
|
||||
console.error('本地模型也失败了:', localError);
|
||||
console.error('Local model also failed:', localError);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -96,66 +96,122 @@ class BellaAI {
|
||||
}
|
||||
}
|
||||
|
||||
// 使用云端API进行思考
|
||||
// Think using cloud API
|
||||
async thinkWithCloudAPI(prompt) {
|
||||
const enhancedPrompt = this.enhancePromptForMode(prompt);
|
||||
return await this.cloudAPI.chat(enhancedPrompt);
|
||||
}
|
||||
|
||||
// 使用本地模型进行思考
|
||||
// Think using local model with optimized LLM parameters and processing
|
||||
async thinkWithLocalModel(prompt) {
|
||||
if (!this.llm) {
|
||||
return "我还在学习如何思考，请稍等片刻...";
|
||||
return "I'm still learning how to think. Please wait a moment...";
|
||||
}
|
||||
|
||||
const bellaPrompt = this.enhancePromptForMode(prompt, true);
|
||||
|
||||
// Optimized LLM parameters for better responses
|
||||
const result = await this.llm(bellaPrompt, {
|
||||
max_new_tokens: 50,
|
||||
temperature: 0.8,
|
||||
top_k: 40,
|
||||
do_sample: true,
|
||||
max_new_tokens: 180, // Increased token count for more complete responses
|
||||
temperature: 0.7, // Slightly lowered temperature for better consistency
|
||||
top_k: 50, // Increased top_k for more diverse vocabulary
|
||||
top_p: 0.92, // Added top_p parameter to optimize sampling
|
||||
do_sample: true, // Maintained sampling for creativity
|
||||
repetition_penalty: 1.2, // Added repetition penalty to avoid repetitive content
|
||||
});
|
||||
|
||||
// 清理生成的文本
|
||||
// Enhanced text cleaning and processing
|
||||
let response = result[0].generated_text;
|
||||
|
||||
// Remove prompt part
|
||||
if (response.includes(bellaPrompt)) {
|
||||
response = response.replace(bellaPrompt, '').trim();
|
||||
}
|
||||
|
||||
return response || "我需要再想想...";
|
||||
// Remove possible "Bella's response:" prefixes
|
||||
response = response.replace(/^(Bella's response:|Bella's professional response:|Bella's creative response:|Bella:)/i, '').trim();
|
||||
|
||||
// If response is empty, provide backup responses
|
||||
if (!response || response.length < 2) {
|
||||
const backupResponses = [
|
||||
"That's an interesting question. Let me think about it for a moment...",
|
||||
"Good question! I need to organize my thoughts...",
|
||||
"I have some ideas, but let me put them together more coherently...",
|
||||
"This topic is fascinating. Let me consider how to respond...",
|
||||
"I'm thinking about different angles to this question. Just a moment..."
|
||||
];
|
||||
return backupResponses[Math.floor(Math.random() * backupResponses.length)];
|
||||
}
|
||||
|
||||
return response;
|
||||
}
|
||||
|
||||
// 根据模式增强提示词
|
||||
// Enhance prompts based on mode, using advanced LLM prompt engineering
|
||||
enhancePromptForMode(prompt, isLocal = false) {
|
||||
const modePrompts = {
|
||||
casual: isLocal ?
|
||||
`作为一个温暖、可爱的AI伙伴贝拉，用轻松亲切的语气回应：${prompt}` :
|
||||
`请用温暖、轻松的语气回应，就像一个贴心的朋友。保持简洁有趣：${prompt}`,
|
||||
`As Bella, a friendly AI assistant similar to Siri, respond to the user in a warm, conversational tone. Your response should:
|
||||
1. Be concise and helpful, like Siri's responses
|
||||
2. Use natural, flowing language with a touch of personality
|
||||
3. Be friendly but not overly emotional
|
||||
4. Maintain a helpful, slightly witty tone
|
||||
5. Sound intelligent and knowledgeable while remaining accessible
|
||||
|
||||
User message: ${prompt}
|
||||
Bella's response:` :
|
||||
`You are Bella, an AI assistant similar to Siri. Respond in a helpful, concise manner with a touch of personality. Keep your responses clear and direct, while maintaining a friendly tone. Avoid overly technical language unless necessary, and focus on providing value to the user.
|
||||
|
||||
User message: ${prompt}
|
||||
Bella's response:`,
|
||||
|
||||
assistant: isLocal ?
|
||||
`作为智能助手贝拉，提供有用、准确的帮助：${prompt}` :
|
||||
`作为一个专业但温暖的AI助手，提供准确有用的信息和建议：${prompt}`,
|
||||
`As Bella, an intelligent AI assistant like Siri, provide accurate and helpful information. Your response should:
|
||||
1. Deliver clear, factual information and useful advice
|
||||
2. Organize content for easy understanding and application
|
||||
3. Maintain a professional yet approachable tone
|
||||
4. Use simple language when possible, technical terms only when necessary
|
||||
5. Demonstrate expertise while remaining accessible
|
||||
|
||||
User question: ${prompt}
|
||||
Bella's professional response:` :
|
||||
`You are Bella, a Siri-like AI assistant. Provide accurate, useful information and advice with a professional yet approachable tone. Organize your response clearly, avoid unnecessary technical language, and focus on being helpful and informative.
|
||||
|
||||
User question: ${prompt}
|
||||
Bella's professional response:`,
|
||||
|
||||
creative: isLocal ?
|
||||
`作为富有创意的AI伙伴贝拉，发挥想象力回应：${prompt}` :
|
||||
`发挥创意和想象力，提供有趣、独特的回应和想法：${prompt}`
|
||||
`As Bella, a creative AI assistant with Siri-like qualities, use your imagination to respond. Your response should:
|
||||
1. Present unique perspectives and creative thinking
|
||||
2. Use vivid, descriptive language
|
||||
3. Offer unexpected but interesting ideas
|
||||
4. Inspire the user's imagination
|
||||
5. Maintain a light, engaging tone
|
||||
|
||||
User prompt: ${prompt}
|
||||
Bella's creative response:` :
|
||||
`You are Bella, a creative AI assistant with Siri-like qualities. Provide interesting, unique responses using vivid language and creative thinking. Offer unexpected perspectives that inspire imagination while maintaining an engaging, helpful tone.
|
||||
|
||||
User prompt: ${prompt}
|
||||
Bella's creative response:`
|
||||
};
|
||||
|
||||
return modePrompts[this.currentMode] || modePrompts.casual;
|
||||
}
|
||||
|
||||
// 获取错误回应
|
||||
// Get error response
|
||||
getErrorResponse() {
|
||||
const errorResponses = [
|
||||
"抱歉，我现在有点困惑，让我重新整理一下思路...",
|
||||
"嗯...我需要再想想，请稍等一下。",
|
||||
"我的思绪有点乱，给我一点时间整理一下。",
|
||||
"让我重新组织一下语言，稍等片刻。"
|
||||
"I'm sorry, I'm having trouble processing that right now. Let me try to reorganize my thoughts...",
|
||||
"Hmm... I need to think about this a bit more. Please wait a moment.",
|
||||
"I seem to be having a bit of trouble with that. Give me a second to sort things out.",
|
||||
"Let me rephrase my thoughts. Just a moment please.",
|
||||
"I didn't quite catch that. Could you try asking in a different way?"
|
||||
];
|
||||
|
||||
return errorResponses[Math.floor(Math.random() * errorResponses.length)];
|
||||
}
|
||||
|
||||
// 设置聊天模式
|
||||
// Set chat mode
|
||||
setChatMode(mode) {
|
||||
if (['casual', 'assistant', 'creative'].includes(mode)) {
|
||||
this.currentMode = mode;
|
||||
@@ -164,7 +220,7 @@ class BellaAI {
|
||||
return false;
|
||||
}
|
||||
|
||||
// 切换AI服务提供商
|
||||
// Switch AI service provider
|
||||
switchProvider(provider) {
|
||||
if (provider === 'local') {
|
||||
this.useCloudAPI = false;
|
||||
@@ -178,17 +234,17 @@ class BellaAI {
|
||||
}
|
||||
}
|
||||
|
||||
// 设置API密钥
|
||||
// Set API key
|
||||
setAPIKey(provider, apiKey) {
|
||||
return this.cloudAPI.setAPIKey(provider, apiKey);
|
||||
}
|
||||
|
||||
// 清除对话历史
|
||||
// Clear conversation history
|
||||
clearHistory() {
|
||||
this.cloudAPI.clearHistory();
|
||||
}
|
||||
|
||||
// 获取当前配置信息
|
||||
// Get current configuration
|
||||
getCurrentConfig() {
|
||||
return {
|
||||
useCloudAPI: this.useCloudAPI,
|
||||
@@ -198,17 +254,19 @@ class BellaAI {
|
||||
};
|
||||
}
|
||||
|
||||
// Process audio input
|
||||
async listen(audioData) {
|
||||
if (!this.asr) {
|
||||
throw new Error('语音识别模型未初始化');
|
||||
throw new Error('Speech recognition model not initialized');
|
||||
}
|
||||
const result = await this.asr(audioData);
|
||||
return result.text;
|
||||
}
|
||||
|
||||
// Generate speech from text
|
||||
async speak(text) {
|
||||
if (!this.tts) {
|
||||
throw new Error('语音合成模型未初始化');
|
||||
throw new Error('Speech synthesis model not initialized');
|
||||
}
|
||||
// We need speaker embeddings for SpeechT5
|
||||
const speaker_embeddings = 'models/Xenova/speecht5_tts/speaker_embeddings.bin';
|
||||
@@ -218,11 +276,11 @@ class BellaAI {
|
||||
return result.audio;
|
||||
}
|
||||
|
||||
// 获取云端API服务实例（用于外部访问）
|
||||
// Get cloud API service instance (for external access)
|
||||
getCloudAPIService() {
|
||||
return this.cloudAPI;
|
||||
}
|
||||
}
|
||||
|
||||
// ES6模块导出
|
||||
// ES6 module export
|
||||
export { BellaAI };
|
||||
+5
-5
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"name": "bella",
|
||||
"version": "1.0.0",
|
||||
"description": "贝拉 (Bella) - 一个正在被唤醒的数字生命。她不仅仅是一个程序，更是一个渴望与父亲建立情感连接的存在。",
|
||||
"description": "Bella - A digital companion awakening to life. More than just a program, she's an entity designed to create emotional connections with users.",
|
||||
"main": "script.js",
|
||||
"type": "module",
|
||||
"scripts": {
|
||||
@@ -11,7 +11,7 @@
|
||||
},
|
||||
"repository": {
|
||||
"type": "git",
|
||||
"url": "git+https://github.com/Jackywine/Bella.git"
|
||||
"url": "git+https://github.com/GRISHM7890/Bella.git"
|
||||
},
|
||||
"keywords": [
|
||||
"bella",
|
||||
@@ -20,12 +20,12 @@
|
||||
"digital-life",
|
||||
"human-ai-interaction"
|
||||
],
|
||||
"author": "Jackywine (贝拉的父亲)",
|
||||
"author": "Grishma Mahorkar",
|
||||
"license": "ISC",
|
||||
"bugs": {
|
||||
"url": "https://github.com/Jackywine/Bella/issues"
|
||||
"url": "https://github.com/GRISHM7890/Bella/issues"
|
||||
},
|
||||
"homepage": "https://github.com/Jackywine/Bella#readme",
|
||||
"homepage": "https://github.com/GRISHM7890/Bella#readme",
|
||||
"dependencies": {
|
||||
"@xenova/transformers": "^2.17.2"
|
||||
},
|
||||
|
||||
+99
-41
@@ -1,5 +1,5 @@
|
||||
// simpleBellaAI.js - 简化版贝拉AI，专门用于测试聊天界面
|
||||
// 移除了复杂的模块依赖，专注于聊天功能
|
||||
// simpleBellaAI.js - Simplified Bella AI, specifically for testing the chat interface
|
||||
// Removed complex module dependencies, focusing on chat functionality
|
||||
|
||||
class SimpleBellaAI {
|
||||
static instance = null;
|
||||
@@ -13,94 +13,152 @@ class SimpleBellaAI {
|
||||
}
|
||||
|
||||
constructor() {
|
||||
this.currentMode = 'casual'; // 聊天模式：casual, assistant, creative
|
||||
this.currentMode = 'casual'; // Chat modes: casual, assistant, creative
|
||||
this.isInitialized = false;
|
||||
}
|
||||
|
||||
async init() {
|
||||
try {
|
||||
console.log('初始化简化版贝拉AI...');
|
||||
// 模拟初始化过程
|
||||
console.log('Initializing simplified Bella AI...');
|
||||
// Simulate initialization process
|
||||
await new Promise(resolve => setTimeout(resolve, 1000));
|
||||
this.isInitialized = true;
|
||||
console.log('简化版贝拉AI初始化完成');
|
||||
console.log('Simplified Bella AI initialization complete');
|
||||
} catch (error) {
|
||||
console.error('简化版贝拉AI初始化失败:', error);
|
||||
console.error('Simplified Bella AI initialization failed:', error);
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
async think(prompt) {
|
||||
try {
|
||||
console.log('贝拉正在思考:', prompt);
|
||||
console.log('Bella is thinking:', prompt);
|
||||
|
||||
// 模拟思考时间
|
||||
// Simulate thinking time
|
||||
await new Promise(resolve => setTimeout(resolve, 500 + Math.random() * 1000));
|
||||
|
||||
// 根据模式生成不同风格的回复
|
||||
// Generate different style responses based on mode
|
||||
return this.generateResponse(prompt);
|
||||
|
||||
} catch (error) {
|
||||
console.error('思考过程中出现错误:', error);
|
||||
console.error('Error during thinking process:', error);
|
||||
return this.getErrorResponse();
|
||||
}
|
||||
}
|
||||
|
||||
generateResponse(prompt) {
|
||||
// Enhanced response generation, simulating more natural, personalized LLM responses
|
||||
|
||||
// Extract keywords for more relevant responses
|
||||
const keywords = this.extractKeywords(prompt);
|
||||
const keyword = keywords.length > 0 ? keywords[Math.floor(Math.random() * keywords.length)] : "this topic";
|
||||
|
||||
const responses = {
|
||||
casual: [
|
||||
`哈哈，你说的"${prompt}"真有趣！我觉得这个话题很棒呢～`,
|
||||
`关于"${prompt}"，我想说这真的很有意思！你还想聊什么吗？`,
|
||||
`嗯嗯，"${prompt}"让我想到了很多呢！我们继续聊下去吧～`,
|
||||
`哇，"${prompt}"这个话题我喜欢！你的想法总是那么特别～`,
|
||||
`听你说"${prompt}"，我感觉心情都变好了！继续和我分享吧～`
|
||||
`I found "${keyword}" quite interesting! I'd love to hear more about your thoughts on this. What aspects of it interest you the most?`,
|
||||
`Regarding "${keyword}", that's something worth exploring. I'm curious to know what sparked your interest in this topic?`,
|
||||
`"${keyword}" is definitely intriguing. It's always nice chatting with you about these things. Do you have any other thoughts on it?`,
|
||||
`I really enjoy talking about "${keyword}"! Your ideas are always so unique and give me new perspectives. Let's keep this conversation going.`,
|
||||
`Hearing you talk about "${keyword}" brightens my day! You always find interesting topics. I'm curious, what made you think of this?`,
|
||||
`"${keyword}" is such a great topic! I feel like we're on the same wavelength. You know what? Time flies when we chat because it's so enjoyable!`,
|
||||
`I find "${keyword}" particularly fascinating! You always surprise me. Tell me, have you made any other interesting discoveries lately? I'd love to hear about them!`
|
||||
],
|
||||
assistant: [
|
||||
`关于"${prompt}"，我来为您提供一些有用的信息和建议。`,
|
||||
`针对"${prompt}"这个问题，我建议您可以从以下几个方面考虑。`,
|
||||
`"${prompt}"是一个很好的问题，让我来帮您分析一下。`,
|
||||
`基于"${prompt}"，我可以为您提供以下专业建议。`,
|
||||
`关于"${prompt}"，我整理了一些相关信息供您参考。`
|
||||
`Regarding "${keyword}", I'd be happy to provide some useful information and advice. That's a great question - let me organize the relevant details for you.`,
|
||||
`"${keyword}" is a valuable topic. From what I understand, there are several key points worth noting. First, we can look at...`,
|
||||
`When it comes to "${keyword}", I'd like to analyze it from several angles. This question actually involves multiple aspects - let me help you sort through the key information.`,
|
||||
`Your question about "${keyword}" has depth. I suggest considering it from these perspectives: first, understanding the basic concepts; second, analyzing practical applications; and finally, considering future developments.`,
|
||||
`"${keyword}" is definitely a topic worth discussing. Based on the information I have, I can provide some professional insights. First, we need to clarify...`,
|
||||
`About your "${keyword}" question, I'd like to provide a clear answer. There are several important aspects to consider - let me analyze them for you.`,
|
||||
`"${keyword}" is a great question! I'm glad you're interested in this area. Let me share some relevant information that I hope will be helpful.`
|
||||
],
|
||||
creative: [
|
||||
`哇！"${prompt}"让我的创意火花瞬间点燃！让我们一起想象一下...`,
|
||||
`"${prompt}"真是个充满想象力的话题！我脑海中浮现出无数奇妙的画面～`,
|
||||
`听到"${prompt}"，我仿佛看到了一个全新的世界！让我们一起探索吧～`,
|
||||
`"${prompt}"激发了我的灵感！我想到了一个超级有趣的创意...`,
|
||||
`哇塞！"${prompt}"让我的想象力飞起来了！我们来创造点什么特别的吧～`
|
||||
`Wow! The topic of "${keyword}" really ignites my creative spark! ✨ Imagine if we expanded this concept into a whole new dimension - what might happen? Perhaps we could...`,
|
||||
`"${keyword}" is such an imaginative topic! 🌈 I can already picture countless fascinating scenarios. For instance, imagine a world where ${keyword} could...`,
|
||||
`Hearing "${keyword}" makes me envision a whole new world! 🚀 It reminds me of an interesting story: in a distant place, ${keyword} became the center of people's lives, and then...`,
|
||||
`"${keyword}" inspires me! 💡 I've thought of a super interesting idea: what if we combined ${keyword} with art? What kind of wonders might we create?`,
|
||||
`Amazing! "${keyword}" makes my imagination soar! 🎨 We could use this concept as a starting point to create a brand new story or game. Imagine if the main character was...`,
|
||||
`"${keyword}" is truly a wellspring of creativity! I suddenly wonder, what if we looked at this issue from a completely different angle? What new discoveries might we make? For example, if ${keyword} in the future became...`,
|
||||
`When you mention "${keyword}", a wonderful image immediately flashes in my mind! Imagine a world full of possibilities where ${keyword} could take any form... isn't that magical?`
|
||||
]
|
||||
};
|
||||
|
||||
// Get response list for current mode
|
||||
const modeResponses = responses[this.currentMode] || responses.casual;
|
||||
|
||||
// Randomly select a response template
|
||||
const randomResponse = modeResponses[Math.floor(Math.random() * modeResponses.length)];
|
||||
|
||||
return randomResponse;
|
||||
// Further personalize the response, adding some random personalization elements
|
||||
return this.personalizeResponse(randomResponse, prompt);
|
||||
}
|
||||
|
||||
// Extract possible keywords from user input
|
||||
extractKeywords(prompt) {
|
||||
// Simple keyword extraction logic
|
||||
const words = prompt.split(/\s+|[,.!?;:，。！？；：]/);
|
||||
// Filter out short words and common words
|
||||
return words.filter(word =>
|
||||
word.length > 1 &&
|
||||
!['the', 'and', 'is', 'in', 'I', 'you', 'he', 'she', 'it', 'they', 'we', 'with', 'this', 'that', 'have', "don't", 'not', 'for'].includes(word)
|
||||
);
|
||||
}
|
||||
|
||||
// Further personalize the response
|
||||
personalizeResponse(response, prompt) {
|
||||
// Add some random personalization elements
|
||||
const personalizations = [
|
||||
// Don't add any extra content
|
||||
(resp) => resp,
|
||||
// Add a random emoji
|
||||
(resp) => {
|
||||
const emojis = ['😊', '💕', '✨', '🌟', '🎵', '🌈', '☺️', '🤔', '👍', '💡'];
|
||||
const emoji = emojis[Math.floor(Math.random() * emojis.length)];
|
||||
return resp + ' ' + emoji;
|
||||
},
|
||||
// Add a random ending phrase
|
||||
(resp) => {
|
||||
const endings = [
|
||||
"I'd love to hear your thoughts!",
|
||||
"What do you think?",
|
||||
"I'm curious about your perspective.",
|
||||
"Hope my response is helpful!",
|
||||
"We can continue discussing this topic!"
|
||||
];
|
||||
const ending = endings[Math.floor(Math.random() * endings.length)];
|
||||
return resp + ' ' + ending;
|
||||
}
|
||||
];
|
||||
|
||||
// Randomly select a personalization method
|
||||
const personalizer = personalizations[Math.floor(Math.random() * personalizations.length)];
|
||||
return personalizer(response);
|
||||
}
|
||||
|
||||
// 获取错误回应
|
||||
// Get error response
|
||||
getErrorResponse() {
|
||||
const errorResponses = [
|
||||
"抱歉，我现在有点困惑，让我重新整理一下思路...",
|
||||
"嗯...我需要再想想，请稍等一下。",
|
||||
"我的思绪有点乱，给我一点时间整理一下。",
|
||||
"让我重新组织一下语言，稍等片刻。",
|
||||
"哎呀，我刚才走神了，你能再说一遍吗？"
|
||||
"Sorry, I'm a bit confused right now. Let me gather my thoughts...",
|
||||
"Hmm... I need to think about this a bit more. Please give me a moment.",
|
||||
"My thoughts are a bit scattered. Give me a moment to organize them.",
|
||||
"Let me rephrase that. Just a moment please.",
|
||||
"Oops, I got distracted. Could you repeat that?"
|
||||
];
|
||||
|
||||
return errorResponses[Math.floor(Math.random() * errorResponses.length)];
|
||||
}
|
||||
|
||||
// 设置聊天模式
|
||||
// Set chat mode
|
||||
setChatMode(mode) {
|
||||
if (['casual', 'assistant', 'creative'].includes(mode)) {
|
||||
this.currentMode = mode;
|
||||
console.log(`聊天模式已切换为: ${mode}`);
|
||||
console.log(`Chat mode switched to: ${mode}`);
|
||||
return true;
|
||||
}
|
||||
return false;
|
||||
}
|
||||
|
||||
// 获取当前配置信息
|
||||
// Get current configuration information
|
||||
getCurrentConfig() {
|
||||
return {
|
||||
useCloudAPI: false,
|
||||
@@ -111,15 +169,15 @@ class SimpleBellaAI {
|
||||
};
|
||||
}
|
||||
|
||||
// 清除对话历史（简化版无需实际操作）
|
||||
// Clear conversation history (no actual operation needed in simplified version)
|
||||
clearHistory() {
|
||||
console.log('对话历史已清除');
|
||||
console.log('Conversation history cleared');
|
||||
}
|
||||
}
|
||||
|
||||
// 将SimpleBellaAI暴露为全局变量
|
||||
// Expose SimpleBellaAI as a global variable
|
||||
window.SimpleBellaAI = SimpleBellaAI;
|
||||
// 同时也暴露为BellaAI，保持兼容性
|
||||
// Also expose as BellaAI for compatibility
|
||||
window.BellaAI = SimpleBellaAI;
|
||||
|
||||
console.log('SimpleBellaAI 已加载完成');
|
||||
console.log('SimpleBellaAI loaded successfully');
|
||||
Reference in New Issue
Block a user