Product-Ingredient-Agent

# Product Ingredient Agent 🔍

### Multimodal Agentic Workflow - [Phidata](https://github.com/phidatahq/phidata/)

A Streamlit application that analyzes product ingredients using Gemini AI to provide insights about food and personal care products.

## Features 🌟

- **Example Products**: Pre-loaded examples of common products
- **Image Upload**: Upload your own product images
- **Camera Capture**: Take photos directly through the app
- **AI Analysis**: Powered by Google's Gemini 2.0 Flash and Tavily Search
- **Ingredient Insights**: Get a detailed analysis of ingredients and their implications

## Demo 🎥

<Tutorial will be released on YouTube. Meanwhile, watch [Agentic RAG using Phidata](https://www.youtube.com/watch?v=CDC3GOuJyZ0) >

## Installation 🚀

1. Clone the repository:
```bash
git clone https://github.com/yourusername/Product-Ingredient-Agent.git
cd Product-Ingredient-Agent
```

2. Create a virtual environment:
```bash
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
```

3. Install dependencies:
```bash
pip install -r requirements.txt
```

## Configuration ⚙️

1. Create a `.env` file in the project root:
```env
TAVILY_API_KEY = your_tavily_api_key
GOOGLE_API_KEY = your_gemini_api_key 
```

2. Add your example images in the `images/` directory:
```
images/
├── hide_and_seek.jpg
├── bournvita.jpg
├── lays.jpg
└── shampoo.jpg
```

## Usage 💡

1. Run the Streamlit app:
```bash
streamlit run app.py
```

2. Open your browser and navigate to `http://localhost:8501`

3. Choose one of three options to analyze a product:
   - Select from example products
   - Upload your own image
   - Take a photo using your camera

## Project Structure 📁

```
product-ingredient-analyzer/
├── app.py                 # Main Streamlit application
├── constants.py           # System prompts and constants
├── requirements.txt       # Project dependencies
├── images/               # Example product images
└── README.md             # Project documentat