🍲 AI-Powered Recipe Assistant

An interactive AI-powered web app that generates macronutrient breakdowns and personalized recipes based on user dietary preferences and allergies. Built with Streamlit and Google Cloud Vertex AI.

🚀 Features

• Macronutrient Analysis: Breaks down food into Carbohydrates, Protein, and Fat.
• Personalized Recipes: Adapts to dietary preferences (Vegan, Keto, etc.).
• Allergy Awareness: Excludes ingredients based on user allergies.
• Cooking Time Customization: Adjusts recipes based on available cooking time.
• Fully Standalone: No external script dependencies.

📌 Installation

1️⃣ Clone the Repository

https://github.com/roya90/RecipeBot.git
cd RecipeBot

2️⃣ Set Up Conda Environment

Make sure you have Conda installed. Then, create a new environment and install the necessary packages.

Create a new Conda environment

conda create --name recipe-ai python=3.9 -y

Activate the environment

conda activate recipe-ai

Install required dependencies

pip install streamlit google-cloud-aiplatform 

3️⃣ Set Up Google Cloud Vertex AI

1. Create a Google Cloud Project.
2. Enable Vertex AI API.
3. Set up authentication with:

   gcloud auth application-default login

4. Set environment variables for your Google Cloud Project:

   export VERTEX_PROJECT_ID="your-project-id"

   (Or store these in a .env file.)

4️⃣ Run the App

streamlit run RecipeBot.py

📦 Dependencies

• Streamlit → For UI interaction
• Google Cloud Vertex AI → For AI-powered text generation
• Regular Expressions (re) → For structured response parsing

🔧 Configuration

Modify generation_config and safety_settings in the script to adjust AI behavior.

🎯 Future Improvements

• Add memory persistence to remember user preferences.
• Integrate a food database API for verified macronutrient values.

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📜 License

This project is licensed under the MIT License.

💡 Contributing

Feel free to fork this repo and submit a pull request! 🚀