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https://github.com/coslynx/openai-wrapper-api-mvp
AI-powered tool wraps OpenAI requests, enhancing user responses... Created at https://coslynx.com
https://github.com/coslynx/openai-wrapper-api-mvp
ai-api api-key-management code-generation coslynx developer-tools devops flask language-model machine-learning mvp nlp-api openai-api-client openai-library openai-wrapper python python-api python-backend rest-api sqlite text-generation
Last synced: 6 days ago
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AI-powered tool wraps OpenAI requests, enhancing user responses... Created at https://coslynx.com
- Host: GitHub
- URL: https://github.com/coslynx/openai-wrapper-api-mvp
- Owner: coslynx
- Created: 2024-11-07T15:23:47.000Z (8 days ago)
- Default Branch: main
- Last Pushed: 2024-11-07T15:26:48.000Z (8 days ago)
- Last Synced: 2024-11-07T16:31:03.036Z (8 days ago)
- Topics: ai-api, api-key-management, code-generation, coslynx, developer-tools, devops, flask, language-model, machine-learning, mvp, nlp-api, openai-api-client, openai-library, openai-wrapper, python, python-api, python-backend, rest-api, sqlite, text-generation
- Language: Python
- Size: 14.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
OpenAI-Wrapper-API-MVP
A Python backend service streamlining OpenAI API interactions for easier AI integration.
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-Wrapper-API-MVP" that provides a simple and efficient Python backend service designed to act as a wrapper for OpenAI API requests, simplifying the process of interacting with OpenAI's powerful language models.
## 📦 Features
| | Feature | Description |
|----|--------------------|--------------------------------------------------------------------------------------------------------------------|
| ⚙️ | **Architecture** | The codebase follows a modular architectural pattern, separating concerns into different components for easier maintenance and scalability. |
| 📄 | **Documentation** | The repository includes a comprehensive README file providing a detailed overview of the MVP, its dependencies, and usage instructions.|
| 🔗 | **Dependencies** | The project utilizes key Python packages like `flask`, `openai`, `requests`, `dotenv`, and `flask-restful` for web development, API interaction, and configuration. |
| 🧩 | **Modularity** | The codebase employs a modular structure, with separate modules for API routes, services (e.g., OpenAI interaction), and utility functions.|
| 🧪 | **Testing** | The project includes unit tests using `pytest` for testing core functionalities, ensuring the reliability of the codebase. |
| ⚡️ | **Performance** | The service is optimized for performance through techniques like environment variable management, API request caching, and optimized response handling. |
| 🔐 | **Security** | Security is prioritized through secure API key management using environment variables and a `.env` file, protecting sensitive information. |
| 🌐 | **Scalability** | The service is designed for scalability, with the potential to utilize cloud-based deployments and distributed caching for handling increased traffic. |
| 🔌 | **Integrations** | The service integrates seamlessly with the OpenAI API, utilizing the official OpenAI Python library for efficient communication. |
## 📂 Structure
```text
OpenAI-Wrapper-API-MVP
├── requirements.txt
├── .env
├── config.py
├── app.py
├── models
│ └── models.py
├── services
│ └── openai_service.py
├── routes
│ └── api.py
├── utils
│ └── logger.py
└── tests
└── test_openai_service.py
```
## 💻 Installation
### 🔧 Prerequisites
- Python 3.7+
- pip (usually included with Python installations)
### 🚀 Setup Instructions
1. **Clone the Repository:**
```bash
git clone https://github.com/coslynx/OpenAI-Wrapper-API-MVP.git
cd OpenAI-Wrapper-API-MVP
```
2. **Install Dependencies:**
```bash
pip install -r requirements.txt
```
3. **Set up Environment Variables:**
- Create a `.env` file (if one doesn't exist) based on the `.env.example` provided.
- Replace `YOUR_API_KEY_HERE` in the `.env` file with your actual OpenAI API key from [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys).
## 🏗️ Usage
### 🏃♂️ Running the MVP
1. **Start the Server:**
```bash
python app.py
```
2. The service will be running at `http://localhost:5000`.
### ⚙️ Configuration
- **`config.py`:** Contains basic configuration settings for the application.
- **`.env`:** Stores sensitive environment variables, such as the OpenAI API key, for secure management.
- **To modify key settings:**
- Update the appropriate values in the `.env` file.
- Restart the application to apply the changes.
### 📚 Examples
- **Generating Text:**
```bash
curl -X POST http://localhost:5000/generate \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a short story about a cat who loves to play with yarn.", "model": "text-davinci-003"}'
```
## 🌐 Hosting
### 🚀 Deployment Instructions
1. **Install `gunicorn` (if not already installed):**
```bash
pip install gunicorn
```
2. **Create a `Procfile`:**
```
web: gunicorn app:app
```
3. **Choose a hosting platform:**
- Heroku: [https://www.heroku.com/](https://www.heroku.com/)
- AWS Elastic Beanstalk: [https://aws.amazon.com/elasticbeanstalk/](https://aws.amazon.com/elasticbeanstalk/)
- Google App Engine: [https://cloud.google.com/appengine/](https://cloud.google.com/appengine/)
- Or another platform of your choice.
4. **Follow the deployment instructions for your chosen platform:**
- **Heroku:**
- `heroku create [app-name]`
- `git push heroku main`
- **AWS Elastic Beanstalk:**
- Create a new application.
- Configure the environment and deploy the code.
- **Google App Engine:**
- Create a new application.
- Configure the environment and deploy the code.
### 🔑 Environment Variables
- **`OPENAI_API_KEY`:** Your OpenAI API key (required).
- **`DEBUG`:** (Optional) Set to `True` for enabling debug mode during development.
## 📜 License & Attribution
### 📄 License
This Minimum Viable Product (MVP) is licensed under the [GNU AGPLv3](https://choosealicense.com/licenses/agpl-3.0/) license.
### 🤖 AI-Generated MVP
This MVP was entirely generated using artificial intelligence through [CosLynx.com](https://coslynx.com).
No human was directly involved in the coding process of the repository: OpenAI-Wrapper-API-MVP
### 📞 Contact
For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:
- Website: [CosLynx.com](https://coslynx.com)
- Twitter: [@CosLynxAI](https://x.com/CosLynxAI)
🌐 CosLynx.com
Create Your Custom MVP in Minutes With CosLynxAI!
