OpenAI-API-Wrapper-Python-MVP

Streamlined Python Backend for Effortless OpenAI API Interactions

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) called "OpenAI-API-Wrapper-Python-MVP" that simplifies interacting with OpenAI's powerful language models through a Python backend service. This MVP empowers developers to leverage AI capabilities without the complexity of directly working with the OpenAI API.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase follows a modular structure, separating functionalities into distinct modules for easier maintenance and scalability.
📄	Documentation	This README.md file provides a detailed overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on several external libraries and packages, including fastapi, uvicorn, pydantic, openai, and requests.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities.
🧪	Testing	Includes unit tests to ensure the codebase is reliable and robust.
⚡️	Performance	The MVP is optimized for performance and efficiency, using asynchronous processing and other techniques.
🔐	Security	The code implements basic security measures such as API key management and input validation.
🔀	Version Control	Uses Git for version control and GitHub Actions for automated builds and releases.
🔌	Integrations	Integrates seamlessly with the OpenAI API, enabling various AI tasks like text generation, translation, question answering, and code completion.

📂 Structure

├── main.py
├── routers
│   ├── models.py
│   ├── generate.py
│   ├── translate.py
│   ├── question.py
│   └── code.py
├── services
│   ├── openai_service.py
│   └── auth_service.py
├── models
│   ├── request.py
│   └── response.py
├── utils
│   ├── logger.py
│   ├── exceptions.py
│   ├── config.py
│   └── auth.py
└── tests
    └── test_main.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• A virtual environment (recommended)
• An OpenAI API key (obtain one from https://platform.openai.com/account/api-keys)

🚀 Setup Instructions

1. Clone the repository:

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

2. Create a virtual environment (optional):

   python3 -m venv venv
   source venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Configure environment variables:

   cp .env.example .env
   # Fill in your OpenAI API key:
   OPENAI_API_KEY=<your_openai_api_key>

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the FastAPI server:

   uvicorn main:app --host 0.0.0.0 --port 8000

🌐 Hosting

🚀 Deployment Instructions

1. Create a virtual environment:

   python3 -m venv venv
   source venv/bin/activate

2. Install dependencies:

   pip install -r requirements.txt

3. Configure environment variables:

   cp .env.example .env
   # Fill in your OpenAI API key and other necessary variables:
   OPENAI_API_KEY=<your_openai_api_key>

4. Run the application:

   uvicorn main:app --host 0.0.0.0 --port 8000

📜 API Documentation

🔍 Endpoints

• /models: (GET) Returns a list of available OpenAI models.
• /generate: (POST) Generates text using a chosen OpenAI model.
• /translate: (POST) Translates text between languages.
• /question: (POST) Answers a question using an OpenAI model.
• /code: (POST) Generates code in a specified programming language.

🔒 Authentication

The API uses basic authentication. You need to provide your OpenAI API key in the request header:

Authorization: Bearer <your_openai_api_key>

📝 Examples

Text Generation:

curl -X POST http://localhost:8000/generate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_openai_api_key>" \
  -d '{"model": "text-davinci-003", "prompt": "Write a short story about a cat who goes on an adventure.", "temperature": 0.7}'

Translation:

curl -X POST http://localhost:8000/translate \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_openai_api_key>" \
  -d '{"source_language": "en", "target_language": "fr", "text": "Hello, world!"}' 

Question Answering:

curl -X POST http://localhost:8000/question \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_openai_api_key>" \
  -d '{"question": "What is the capital of France?"}'

Code Generation:

curl -X POST http://localhost:8000/code \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <your_openai_api_key>" \
  -d '{"language": "python", "prompt": "Write a function that prints Hello World."}'

📜 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-MVP

📞 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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