openai-api-wrapper-backend

A Python backend service for simplifying OpenAI API interactions

Developed with the software and tools below.

📑 Table of Contents

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

📍 Overview

This repository houses the backend for a Minimum Viable Product (MVP) called "openai-api-wrapper-backend" that simplifies the process of interacting with OpenAI's API. The MVP offers a user-friendly abstraction layer, making it easier for developers to integrate AI capabilities into their applications.

📦 Features

	Feature	Description
⚙️	Architecture	The codebase follows a modular architecture with separate directories for different functionalities, ensuring easier maintenance and scalability.
📄	Documentation	The repository includes a README file that provides a detailed overview of the MVP, its dependencies, and usage instructions.
🔗	Dependencies	The codebase relies on various external libraries and packages, which are essential for building and interacting with the OpenAI API and handling data.
🧩	Modularity	The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities such as services and routes.
🧪	Testing	Implement unit tests using frameworks like pytest to ensure the reliability and robustness of the codebase.
⚡️	Performance	The performance of the system can be optimized based on factors such as caching and asynchronous operations.
🔐	Security	Enhance security by implementing measures such as input validation and API key management.
🔀	Version Control	Utilizes Git for version control with GitHub Actions workflow files for automated build and release processes.
🔌	Integrations	Interacts with the OpenAI API, potentially including integrations with a database for data storage.
📶	Scalability	Design the system to handle increased user load and data volume, utilizing caching strategies and cloud-based solutions for better scalability.

📂 Structure

├── src
│   ├── services
│   │   └── openai.py
│   ├── utils
│   │   └── logger.py
│   └── api
│       └── routes
│           └── openai.py
├── .env
├── requirements.txt
└── main.py

💻 Installation

🔧 Prerequisites

• Python 3.9+
• pip package manager

🚀 Setup Instructions

1. Clone the repository:

   git clone https://github.com/coslynx/openai-api-wrapper-backend.git
   cd openai-api-wrapper-backend

2. Create a virtual environment (recommended):

   python3 -m venv .venv
   source .venv/bin/activate

3. Install dependencies:

   pip install -r requirements.txt

4. Set up environment variables:

   cp .env.example .env
   # Fill in the `OPENAI_API_KEY` value with your OpenAI API key

🏗️ Usage

🏃‍♂️ Running the MVP

1. Start the server:

   python main.py

⚙️ Configuration

• The .env file is used to configure the application.
• The OPENAI_API_KEY environment variable is required.
• The PORT variable can be adjusted to change the listening port.

📚 Examples

• Generating text:

  curl -X POST http://localhost:8000/openai/query \
    -H "Content-Type: application/json" \
    -d '{"task": "generate_text", "text": "Write a short story about a cat.", "model": "text-davinci-003", "parameters": {"max_tokens": 100}}'

• Translating text:

  curl -X POST http://localhost:8000/openai/query \
    -H "Content-Type: application/json" \
    -d '{"task": "translate_text", "text": "Hello world!", "parameters": {"source_language": "english", "target_language": "spanish"}}'

• Summarizing text:

  curl -X POST http://localhost:8000/openai/query \
    -H "Content-Type: application/json" \
    -d '{"task": "summarize_text", "text": "This is a long text to be summarized.", "parameters": {"max_tokens": 50}}'

• Answering a question:

  curl -X POST http://localhost:8000/openai/query \
    -H "Content-Type: application/json" \
    -d '{"task": "answer_question", "text": "What is the capital of France?", "parameters": {"context": "France is a country in Western Europe."}}'

🌐 Hosting

🚀 Deployment Instructions

1. [Describe the deployment process, using Docker or other methods.]
2. [Configure environment variables for the deployment environment.]
3. [Provide detailed instructions on how to deploy the application to the hosting platform.]

🔑 Environment Variables

• OPENAI_API_KEY: Your OpenAI API key.
• DATABASE_URL (Optional): Connection string for the PostgreSQL database if using a database.
• PORT: The port on which the server will listen.
• LOG_LEVEL (Optional): Logging level for the application.

📜 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-backend

📞 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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