README.md

OpenAI-API-Wrapper-Python

A Python backend service that simplifies interaction with OpenAI's API

Developed with the software and tools below.

📑 Table of Contents

• 📍 Overview
• 📦 Features
• 📂 Structure
• 💻 Installation
• 🏗️ Usage
• 🌐 Hosting
• 📄 License
• 👏 Authors

📍 Overview

This repository contains a Minimum Viable Product (MVP) for a Python backend service called "AI Wrapper for OpenAI Requests". This service simplifies interacting with OpenAI's API by providing a user-friendly wrapper that handles request formatting, authentication, and response parsing.

📦 Features

	Feature	Description
⚙️	Architecture	A robust and efficient architecture built using FastAPI, PostgreSQL, and the OpenAI Python library.
📄	Documentation	Clear and detailed documentation explaining the MVP's functionalities, setup, and usage.
🔗	Dependencies	Leverages carefully selected Python libraries for efficient development and robust functionality.
🧩	Modularity	Well-structured codebase with separate modules for different functionalities, promoting code reusability and maintainability.
🧪	Testing	Includes unit tests to ensure the correctness and reliability of the core components.
⚡️	Performance	Optimized for efficient request handling and response processing, ensuring fast and responsive results.
🔐	Security	Implements secure API key management and access control using JWT authentication.
🔀	Version Control	Utilizes Git for version control, ensuring collaboration and trackability of changes.
🔌	Integrations	Seamless integration with OpenAI's API using the official Python library.
📶	Scalability	Designed with scalability in mind to handle growing request volumes.

📂 Structure

├── core
│   ├── services
│   │   └── openai_service.py
│   └── models
│       └── models.py
├── utils
│   └── logger.py
├── tests
│   └── test_services.py
├── db
│   ├── models
│   │   └── __init__.py
│   └── schemas
│       └── __init__.py
├── config
│   └── settings.py
├── .gitignore
├── .env
├── startup.sh
├── commands.json
├── requirements.txt
└── main.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• PostgreSQL 14+
• pip (Python package manager)
• Docker (Optional for local development)

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/coslynx/OpenAI-API-Wrapper-Python.git
   cd OpenAI-API-Wrapper-Python

2. Install dependencies:

   pip install -r requirements.txt

3. Set up environment variables:

   • Create a .env file in the root directory of the project.
   • Add the following environment variables, replacing the placeholders with your actual values:

     OPENAI_API_KEY=YOUR_OPENAI_API_KEY
     DATABASE_URL=postgres://user:password@host:port/database
     JWT_SECRET_KEY=YOUR_JWT_SECRET_KEY
     

4. Start the database (optional):

   • If you're using Docker for local development, start the PostgreSQL database container:

     docker-compose up -d db

5. Run the application:

   uvicorn main:app --reload

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the development server:

   uvicorn main:app --reload

2. Access the API:
   • The API is now running at http://localhost:8000/.
   • You can send requests using tools like curl or Postman.

⚙️ Configuration

• Environment Variables: The application reads settings from the .env file, so you can customize it to suit your environment.

🌐 Hosting

🚀 Deployment Instructions

1. Create a virtual environment:

   python3 -m venv .venv

2. Activate the virtual environment:

   source .venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up your database:
   • Ensure you have a PostgreSQL database set up and configured.
   • Update the DATABASE_URL environment variable in your .env file with the correct connection string.
5. Create a deployment script:
   • You can use a script like startup.sh to automate the deployment process.
6. Deploy the code:
   • Choose a deployment platform (e.g., Heroku, AWS Lambda, Google Cloud Functions) and follow their specific deployment instructions.

🔑 Environment Variables

• OPENAI_API_KEY: Your OpenAI API key.
• DATABASE_URL: The connection string for your PostgreSQL database.
• JWT_SECRET_KEY: A secret key for signing JWT tokens (used for authentication).

📜 API Documentation

🔍 Endpoints

• POST /generate:
  • Description: Generate text using an OpenAI model.
  • Body: { "text": "Your input text", "model": "The OpenAI model name (e.g., gpt-3.5-turbo)" }
  • Response: { "text": "Generated text" }
• POST /translate:
  • Description: Translate text between languages using an OpenAI model.
  • Body: { "text": "Your input text", "model": "The OpenAI translation model (e.g., gpt-3.5-turbo)", "target_language": "The target language code (e.g., 'fr', 'es', 'de')" }
  • Response: { "text": "Translated text" }
• POST /register:
  • Description: Register a new user.
  • Body: { "username": "Your username", "password": "Your password" }
  • Response: { "message": "Registration successful!" }
• POST /login:
  • Description: Log in an existing user.
  • Body: { "username": "Your username", "password": "Your password" }
  • Response: { "token": "JWT access token" }

🔒 Authentication

1. Register or Log In: New users can register using the /register endpoint. Existing users can log in using the /login endpoint.
2. Obtain JWT Token: Upon successful registration or login, the server returns a JWT access token.
3. Authorization: Include the JWT access token in the Authorization header of all subsequent requests to the API.

📜 License & Attribution

📄 License

This Minimum Viable Product (MVP) is licensed under the GNU AGPLv3 license.

🤖 AI-Generated MVP

This MVP was entirely generated using artificial intelligence through CosLynx.com.

No human was directly involved in the coding process of the repository: OpenAI-API-Wrapper-Python

📞 Contact

For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:

• Website: CosLynx.com
• Twitter: @CosLynxAI

🌐 CosLynx.com

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