AI Question and Answer Page

This is a SUPER SIMPLE demonstration project that utilizes API communication to provide Google Gemini 2.0 AI-powered** responses to user queries. The project is structured following the Model-View-Controller (MVC) pattern with an emphasis on Object-Oriented Programming (OOP) principles. It uses AltoRouter for routing and a service container for dependency management.

Project Structure

• Controllers: Manages the request logic. The ChatController handles the form display and processes user input.
• Services: Contains the ApiService class, which is responsible for making API requests using cURL.
• Views: Contains the PHP files that render the user interface, such as chat-form.view.php and chat-response.view.php.
• Core: Contains utility classes like Validator for input validation.

Key Components

ChatController

• index(): Displays the question submission form.
• handleChat(Request $request): Handles form submission, validates user input, sends a request to the AI API, and displays the response or errors.

ApiService

Handles the API communication logic, encapsulating the cURL requests to interact with the AI service.

Validator

A utility class that provides methods for validating input data, such as checking string length.

Routing

The project uses AltoRouter for handling routes. The main routes include:

• GET / - Displays the question submission form.
• POST /chat - Processes the form submission and returns the AI response.

Error Handling

• Errors are caught using try-catch blocks in the controller.
• Error messages are logged and displayed to the user when appropriate.

Requirements

• PHP 7.4 or higher
• AltoRouter
• A web server (e.g., Apache, Nginx)

Installation

1. Clone the repository:

   git clone https://github.com/g-i-kala/php-api-ask-ai.git

2. Navigate to the project directory:

   cd ai-question-answer-page

3. Install dependencies (if any) using Composer:

   composer install

4. Configure your web server to serve the application.

5. Create your own .env file accoridng to the provided example to be able to communicate with the Google Gemini 2.0 AI service. How to Quickstart with Gemini for Developers.

Usage

1. Start your web server.
2. Access the application in your browser at http://localhost/ (or your configured domain).
3. Enter your question in the form and submit to receive an AI-generated response.

License

This project is licensed under the MIT License.

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