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Yummo - Your DIet Buddy 🥑💪

Overview

Yummo is a web application that leverages AI to transform recipes based on different dietary requirements. It allows users to input recipes and convert them to various diets such as vegan, keto, gluten-free. The application uses Llamma ai with Google's to perform intelligent recipe transformations while maintaining the essence and flavor profile of the original recipe.

Table of Contents 📑

Features 🌟

  • Add new recipes to a local database
  • Transform recipes to different diets:
    • Vegan
    • Keto
    • Gluten-free
  • User-friendly web interface for recipe input and transformation
  • Display of both original and transformed recipes
  • Real-time recipe transformation using AI

Technology Stack

  • Backend: Python with Flask framework
  • Database: SQLite for local storage
  • AI Integration: Llama ai
  • Frontend: HTML, CSS, JavaScript (jQuery)
  • API: RESTful API endpoints for recipe management and transformation

YouTube Demonstration

Watch the video

Requirements

  • Python 3.7 or higher
  • MindsDB SDK
  • SQLite3

Installation

  1. Clone the repository:

    git clone https://github.com/ai-apex-dev/yummo

  2. Create virtual env & activate it & Install required packages:

    python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

  3. Set up MindsDB:

    • Follow the MindsDB installation guide to install and run MindsDB locally.
    • Note the server address and port (default is http://127.0.0.1:47334).
    • make .env file add your Google Gemini api key
    API_KEY='YOUR_KEY'

docker run -p 47334:47334 mindsdb/mindsdb mindsdb --api=http://127.0.0.1:47334

  1. Create and populate the SQLite database: 
    python data.py

Usage

  1. Run the Flask server:

    flask --app main run --debug

  2. Add a recipe by providing the recipe name and recipe text in the 'add recipe' form:

  3. Transform a recipe by providing the recipe name, recipe text and selecting the desired diet in the 'transform recipe' form, and visualize the transformed recipe.

  4. Visit http://localhost:5000/get_recipes to get all the recipes in the local database.

Support 💬

If you like this project, please support it starring the GitHub repository!

Thank you for your support!