valonrexhepi23/bidwise

JavaScript

Bidwise

Frontend

We built the frontend using React.

Why React?

We chose React because we had basic knowledge of the framework.

Styling

For styling, we used Tailwind CSS.

How to Start the Frontend

Navigate to the frontend directory:
```
cd angebotsfindung-frontend
```
Install the necessary dependencies:
```
npm install
```
Start the frontend:
```
npm start
```

Backend

The backend is built with Python.

Why Python?

We selected Python due to its vast array of frameworks, libraries, and overall ease of use.

How to Start the Backend Script

To run the backend you need an OpenAI API key. You can get one here.

First, navigate to the backend directory:
```
cd angebotsfindung-backend
```
Create a .env file to store the API key:
```
touch .env
```
Add the following line to the .env file:
```
OPENAI_API_KEY=YOUR_API_KEY
```
Install the necessary dependencies:
```
pip install -r requirements.txt
```
Start the backend:
```
uvicorn main:app --reload
```

AI Model

We choose the OpenAI GPT-4-Turbo model for our AI model.

Why GPT-4-Turbo?

We chose GPT-4-Turbo because it was the most recent model available to us.