🌟 Gemini API 🌟

This project is a Django-based chatbot and rest-api application that uses Django Channels for real-time WebSocket communication and Google Generative AI for generating chat responses in addition to an endpoint for generating text based on image input using Gemini API.

Setup Instructions

Follow these steps to set up the project environment and run the server:

1. Clone the Repository

Open your terminal or command prompt and run:

git clone https://github.com/Aya-Jafar/Gemini-API.git
cd your-repository

2. Create a virtual environment

Creating a virtual environment isolates your project dependencies. Use the following commands based on your operating system:

python3 -m venv env

3. Activate the Virtual Environment

Activate the virtual environment with the following commands:

On macOS/Linux:

source env/bin/activate

On Windows:

source env\Scripts\activate

4. Install the Required Packages

With the virtual environment activated, install the necessary Python packages from requirements.txt:

pip install -r requirements.txt

5. Set Up Environment Variables

With the virtual environment activated, install the necessary Python packages from requirements.txt:

DJANGO_SECRET_KEY=your_project_secret_key
GEMINI_API_KEY=your_gemini_api_key

6. Run the Daphne Server

In a new terminal window, start the Daphne server for WebSocket support:

daphne Gemini_API.asgi:application

Happy coding! 🚀