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Context-Aware Culinary AI v3 - Interactive Demo
Installation
Prerequisites
- Python 3.8 or higher
- CUDA-compatible GPU (recommended for optimal performance)
- At least 8GB of RAM (16GB+ recommended)
Setup
Clone or download this repository
cd ingredient_subInstall dependencies
pip install -r requirements.txt
Configuration
The demo uses the following default configuration (in DemoConfig class):
- Base Model:
mistralai/Mistral-7B-v0.1 - Adapter Path:
context_aware_v3_adapter - Max Substitutes: 5
- Max Recipes: 5
- Temperature: 0.3 (controls randomness)
- Top-p: 0.9 (nucleus sampling)
You can modify these settings by editing the DemoConfig class in demo_script.py.
Hardware Requirements
Minimum Requirements
- RAM: 8GB system RAM
- GPU: 4GB VRAM (or CPU-only mode)
- Storage: 15GB free space
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