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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

  1. Clone or download this repository

    cd ingredient_sub
    
  2. Install 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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