This project provides an API for integrating with Google's Generative AI model, Gemini. It uses express for creating server routes, cors for handling Cross-Origin Resource Sharing, and dotenv for managing environment variables. The API allows users to send prompts to the Gemini model and receive generated content in response.

• Features
• Installation
• Usage
• Endpoints

• Integration with Google's Generative AI model, Gemini.
• RESTful API with endpoints for sending prompts and receiving generated content.
• Error handling for API requests.
• Configurable using environment variables.

1. Clone the repository:

   git clone https://github.com/Fadilix/gemini-integration-api.git
   cd gemini-integration-api

2. Install the dependencies:

   npm install

3. Create a .env file in the root directory and add your API key and port:

   API_KEY=your_google_generative_ai_api_key
   PORT=8081

   • You can get an api key here

4. Start the server:

   nodemon index.js

Once the server is running, you can interact with the API using any HTTP client like Postman, Insomnia, or curl.

• Description: A simple endpoint to test if the server is running.
• Response:
  • 200 OK: { msg: "This is a gemini integration api" }

• Description: Sends a prompt to the Gemini model and returns the generated content.
• Request Body:
  • prompt (string): The input prompt to send to the Gemini model.
• Response:
  • 200 OK: { result: "Generated content from Gemini" }
  • 500 Internal Server Error: { message: "Internal Server Error" }