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‎README.md‎

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<div class="hero-icon" align="center">
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<img src="https://raw.githubusercontent.com/PKief/vscode-material-icon-theme/ec559a9f6bfd399b82bb44393651661b08aaf7ba/icons/folder-markdown-open.svg" width="100" />
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</div>
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<h1 align="center">
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OpenAI-API-Wrapper-Python
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</h1>
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<h4 align="center">A Python backend service that simplifies interaction with OpenAI's API</h4>
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<h4 align="center">Developed with the software and tools below.</h4>
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<div class="badges" align="center">
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<img src="https://img.shields.io/badge/Framework-FastAPI-blue" alt="Framework: FastAPI" />
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<img src="https://img.shields.io/badge/Backend-Python-red" alt="Backend: Python" />
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<img src="https://img.shields.io/badge/Database-PostgreSQL-blue" alt="Database: PostgreSQL" />
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<img src="https://img.shields.io/badge/LLMs-OpenAI-black" alt="LLMs: OpenAI" />
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</div>
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<div class="badges" align="center">
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<img src="https://img.shields.io/github/last-commit/coslynx/OpenAI-API-Wrapper-Python?style=flat-square&color=5D6D7E" alt="git-last-commit" />
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<img src="https://img.shields.io/github/commit-activity/m/coslynx/OpenAI-API-Wrapper-Python?style=flat-square&color=5D6D7E" alt="GitHub commit activity" />
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<img src="https://img.shields.io/github/languages/top/coslynx/OpenAI-API-Wrapper-Python?style=flat-square&color=5D6D7E" alt="GitHub top language" />
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</div>
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## 📑 Table of Contents
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- 📍 Overview
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- 📦 Features
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- 📂 Structure
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- 💻 Installation
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- 🏗️ Usage
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- 🌐 Hosting
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- 📄 License
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- 👏 Authors
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## 📍 Overview
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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.
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## 📦 Features
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| | Feature | Description |
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|----|--------------------|--------------------------------------------------------------------------------------------------------------------|
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| ⚙️ | **Architecture** | A robust and efficient architecture built using FastAPI, PostgreSQL, and the OpenAI Python library. |
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| 📄 | **Documentation** | Clear and detailed documentation explaining the MVP's functionalities, setup, and usage. |
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| 🔗 | **Dependencies** | Leverages carefully selected Python libraries for efficient development and robust functionality. |
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| 🧩 | **Modularity** | Well-structured codebase with separate modules for different functionalities, promoting code reusability and maintainability. |
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| 🧪 | **Testing** | Includes unit tests to ensure the correctness and reliability of the core components. |
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| ⚡️ | **Performance** | Optimized for efficient request handling and response processing, ensuring fast and responsive results. |
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| 🔐 | **Security** | Implements secure API key management and access control using JWT authentication. |
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| 🔀 | **Version Control**| Utilizes Git for version control, ensuring collaboration and trackability of changes. |
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| 🔌 | **Integrations** | Seamless integration with OpenAI's API using the official Python library. |
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| 📶 | **Scalability** | Designed with scalability in mind to handle growing request volumes. |
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## 📂 Structure
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```text
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├── core
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│ ├── services
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│ │ └── openai_service.py
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│ └── models
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│ └── models.py
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├── utils
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│ └── logger.py
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├── tests
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│ └── test_services.py
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├── db
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│ ├── models
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│ │ └── __init__.py
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│ └── schemas
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│ └── __init__.py
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├── config
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│ └── settings.py
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├── .gitignore
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├── .env
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├── startup.sh
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├── commands.json
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├── requirements.txt
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└── main.py
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```
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## 💻 Installation
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### 🔧 Prerequisites
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- Python 3.9+
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- PostgreSQL 14+
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- `pip` (Python package manager)
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- Docker (Optional for local development)
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### 🚀 Setup Instructions
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1. **Clone the repository:**
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```bash
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git clone https://github.com/coslynx/OpenAI-API-Wrapper-Python.git
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cd OpenAI-API-Wrapper-Python
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```
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2. **Install dependencies:**
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```bash
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pip install -r requirements.txt
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```
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3. **Set up environment variables:**
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- Create a `.env` file in the root directory of the project.
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- Add the following environment variables, replacing the placeholders with your actual values:
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```
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OPENAI_API_KEY=YOUR_OPENAI_API_KEY
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DATABASE_URL=postgres://user:password@host:port/database
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JWT_SECRET_KEY=YOUR_JWT_SECRET_KEY
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```
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4. **Start the database (optional):**
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- If you're using Docker for local development, start the PostgreSQL database container:
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```bash
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docker-compose up -d db
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```
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5. **Run the application:**
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```bash
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uvicorn main:app --reload
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```
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## 🏗️ Usage
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### 🏃‍♂️ Running the MVP
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1. **Start the development server:**
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```bash
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uvicorn main:app --reload
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```
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2. **Access the API:**
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- The API is now running at `http://localhost:8000/`.
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- You can send requests using tools like `curl` or `Postman`.
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### ⚙️ Configuration
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- **Environment Variables:** The application reads settings from the `.env` file, so you can customize it to suit your environment.
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## 🌐 Hosting
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### 🚀 Deployment Instructions
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1. **Create a virtual environment:**
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```bash
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python3 -m venv .venv
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```
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2. **Activate the virtual environment:**
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```bash
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source .venv/bin/activate
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```
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3. **Install dependencies:**
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```bash
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pip install -r requirements.txt
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```
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4. **Set up your database:**
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- Ensure you have a PostgreSQL database set up and configured.
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- Update the `DATABASE_URL` environment variable in your `.env` file with the correct connection string.
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5. **Create a deployment script:**
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- You can use a script like `startup.sh` to automate the deployment process.
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6. **Deploy the code:**
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- Choose a deployment platform (e.g., Heroku, AWS Lambda, Google Cloud Functions) and follow their specific deployment instructions.
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### 🔑 Environment Variables
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- **`OPENAI_API_KEY`:** Your OpenAI API key.
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- **`DATABASE_URL`:** The connection string for your PostgreSQL database.
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- **`JWT_SECRET_KEY`:** A secret key for signing JWT tokens (used for authentication).
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## 📜 API Documentation
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### 🔍 Endpoints
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- **POST /generate:**
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- Description: Generate text using an OpenAI model.
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- Body: `{ "text": "Your input text", "model": "The OpenAI model name (e.g., gpt-3.5-turbo)" }`
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- Response: `{ "text": "Generated text" }`
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- **POST /translate:**
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- Description: Translate text between languages using an OpenAI model.
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- 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')" }`
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- Response: `{ "text": "Translated text" }`
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- **POST /register:**
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- Description: Register a new user.
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- Body: `{ "username": "Your username", "password": "Your password" }`
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- Response: `{ "message": "Registration successful!" }`
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- **POST /login:**
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- Description: Log in an existing user.
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- Body: `{ "username": "Your username", "password": "Your password" }`
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- Response: `{ "token": "JWT access token" }`
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### 🔒 Authentication
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1. **Register or Log In:** New users can register using the `/register` endpoint. Existing users can log in using the `/login` endpoint.
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2. **Obtain JWT Token:** Upon successful registration or login, the server returns a JWT access token.
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3. **Authorization:** Include the JWT access token in the `Authorization` header of all subsequent requests to the API.
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## 📜 License & Attribution
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### 📄 License
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This Minimum Viable Product (MVP) is licensed under the [GNU AGPLv3](https://choosealicense.com/licenses/agpl-3.0/) license.
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### 🤖 AI-Generated MVP
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This MVP was entirely generated using artificial intelligence through [CosLynx.com](https://coslynx.com).
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No human was directly involved in the coding process of the repository: OpenAI-API-Wrapper-Python
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### 📞 Contact
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For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:
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- Website: [CosLynx.com](https://coslynx.com)
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- Twitter: [@CosLynxAI](https://x.com/CosLynxAI)
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<p align="center">
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<h1 align="center">🌐 CosLynx.com</h1>
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</p>
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<p align="center">
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<em>Create Your Custom MVP in Minutes With CosLynxAI!</em>
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</p>
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<div class="badges" align="center">
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<img src="https://img.shields.io/badge/Developers-Drix10,_Kais_Radwan-red" alt="">
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<img src="https://img.shields.io/badge/Website-CosLynx.com-blue" alt="">
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<img src="https://img.shields.io/badge/Backed_by-Google,_Microsoft_&_Amazon_for_Startups-red" alt="">
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<img src="https://img.shields.io/badge/Finalist-Backdrop_Build_v4,_v6-black" alt="">
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</div>

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