EcoEats Server

This is the remote server that performs the actual image analysis behind our app. For the frontend, this is the link to the app.

Under Development

This project is still in development. Although the first endpoint (suggesting eco-friendly alternatives to foods) is already implemented we are currently working to add an endpoint which returns a recipe and image for a dish from an inputted ingredient list. We're experimenting with two approaches for generating accurate and eco-conscious responses:

• Finetuning an open-source LLM on recipe and sustainability data.
• Implementing Retrieval-Augmented Generation (RAG) using a vector store and embedding models
• Transparent Source Citation
  For credibility and transparency, our system will cite the sources of recipe data or sustainability facts used during generation.

Getting Started

1. Initialize a Conda Environment

Run the following command to create and activate a Conda environment:

conda create --name ecoeats-env python=3.12 -y
conda activate ecoeats-env

2. Install Dependencies

Ensure you have all required dependencies by installing them from requirements.txt:

pip install -r requirements.txt

3. Install Ollama

Follow the instructions to install Ollama from Ollama's official site.

curl -fsSL https://ollama.ai/install.sh | sh

4. Run Ollama

Start Ollama using the following command:

ollama run ollama

5. Start the Server

Run the server script to begin processing requests:

python src/server.py

Usage

After starting the server, it will be ready to accept image analysis requests.

License

This project is licensed under the MIT License.