Spaces:
Sleeping
Sleeping
File size: 4,660 Bytes
21446aa 0c5e4ac 4cf6c84 21446aa 0c5e4ac 21446aa 0c5e4ac 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 21446aa 5828539 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 |
---
title: Cooking Tutor
emoji: 👨🍳
colorFrom: yellow
colorTo: red
sdk: docker
sdk_version: latest
license: apache-2.0
short_description: CookTut with WebSearch, Memory, Multilingual
---
# Cooking Tutor Backend
An intelligent cooking assistant that provides personalized recipe guidance, cooking techniques, and culinary tips with multilingual support (English, Vietnamese, Chinese).
## 🚀 Features
- **Smart Recipe Recommendations**: Get personalized recipes based on available ingredients
- **Multilingual Support**: English, Vietnamese (Tiếng Việt), and Chinese (中文)
- **Cooking Techniques**: Step-by-step guidance for various cooking methods
- **Ingredient Substitutions**: Smart suggestions for ingredient alternatives
- **Dietary Accommodations**: Support for various dietary preferences and restrictions
- **Web Search Integration**: Real-time cooking information from trusted sources
- **Memory System**: Contextual conversation continuity
## 🛠️ Technical Stack
- **Backend**: FastAPI with Python 3.9+
- **AI Models**: Google Gemini Flash API
- **Memory**: FAISS + Sentence Transformers for semantic search
- **Translation**: HuggingFace Transformers (VietAI/envit5-translation, Helsinki-NLP/opus-mt-zh-en)
- **Web Search**: DuckDuckGo + specialized cooking engines
- **Deployment**: Docker container on HuggingFace Spaces
## 🏃♂️ Quick Start
The API is automatically deployed and running on HuggingFace Spaces. You can interact with it through the web interface or API endpoints.
### API Endpoints
- `GET /` - Health check
- `POST /chat` - Main chat endpoint
- `GET /health` - System health status
### Example Usage
```python
import requests
# Chat with the cooking tutor
response = requests.post("https://your-space-url.hf.space/chat", json={
"user_id": "user123",
"query": "How do I make perfect pasta?",
"lang": "EN"
})
print(response.json())
```
## 🌍 Multilingual Support
The cooking tutor supports three languages:
- **English (EN)**: Full feature support
- **Vietnamese (VI)**: Complete Vietnamese language support
- **Chinese (ZH)**: Simplified Chinese support
## 🔧 Environment Variables
Required environment variables for deployment:
```bash
FlashAPI=your_gemini_api_key
```
## 📚 API Documentation
### Chat Endpoint
**POST** `/chat`
Request body:
```json
{
"user_id": "string",
"query": "string",
"lang": "EN|VI|ZH",
"search_mode": true,
"video_mode": false,
"servings": 4,
"dietary": ["vegetarian"],
"allergens": ["nuts"],
"equipment": ["oven", "stovetop"],
"time_limit_minutes": 30,
"skill_level": "beginner|intermediate|advanced",
"cuisine": "italian",
"structured": false
}
```
Response:
```json
{
"response": "string",
"videos": [
{
"title": "string",
"url": "string",
"thumbnail": "string",
"source": "string"
}
]
}
```
## 🏗️ Architecture
```
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Frontend │ │ FastAPI │ │ AI Models │
│ (Vercel) │◄──►│ Backend │◄──►│ (Gemini) │
└─────────────────┘ └──────────────────┘ └─────────────────┘
│
▼
┌──────────────────┐
│ Search & │
│ Memory │
│ Systems │
└──────────────────┘
```
## 🔍 Search & Memory
- **Web Search**: Real-time cooking information from multiple sources
- **Memory Management**: Short-term and long-term memory for conversation context
- **Content Processing**: Advanced content extraction and summarization
- **Citation System**: Proper source attribution with inline citations
## 🚀 Deployment
This space is configured for Docker deployment on HuggingFace Spaces:
- **Port**: 7860
- **Base Image**: Python 3.9
- **Auto-deploy**: Enabled on push to main branch
## 📄 License
MIT License - see LICENSE file for details.
## 🤝 Contributing
Contributions are welcome! Please feel free to submit issues and pull requests.
## 📞 Support
For support or questions, please open an issue in the repository. |