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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-MVP
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</h1>
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<h4 align="center">Streamlined Python Backend for Effortless OpenAI API Interactions</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="FastAPI Framework" />
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<img src="https://img.shields.io/badge/Language-Python-red" alt="Python Language" />
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<img src="https://img.shields.io/badge/API-OpenAI-blue" alt="OpenAI API" />
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<img src="https://img.shields.io/badge/LLMs-GPT-3,_GPT-4-black" alt="Large Language Models" />
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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-MVP?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-MVP?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-MVP?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) 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.
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## 📦 Features
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| | Feature | Description |
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|----|--------------------|--------------------------------------------------------------------------------------------------------------------|
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| ⚙️ | **Architecture** | The codebase follows a modular structure, separating functionalities into distinct modules for easier maintenance and scalability. |
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| 📄 | **Documentation** | This README.md file provides a detailed overview of the MVP, its dependencies, and usage instructions. |
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| 🔗 | **Dependencies** | The codebase relies on several external libraries and packages, including `fastapi`, `uvicorn`, `pydantic`, `openai`, and `requests`. |
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| 🧩 | **Modularity** | The modular structure allows for easier maintenance and reusability of the code, with separate directories and files for different functionalities. |
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| 🧪 | **Testing** | Includes unit tests to ensure the codebase is reliable and robust. |
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| ⚡️ | **Performance** | The MVP is optimized for performance and efficiency, using asynchronous processing and other techniques. |
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| 🔐 | **Security** | The code implements basic security measures such as API key management and input validation. |
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| 🔀 | **Version Control**| Uses Git for version control and GitHub Actions for automated builds and releases. |
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| 🔌 | **Integrations** | Integrates seamlessly with the OpenAI API, enabling various AI tasks like text generation, translation, question answering, and code completion. |
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## 📂 Structure
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```text
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├── main.py
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├── routers
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│ ├── models.py
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│ ├── generate.py
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│ ├── translate.py
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│ ├── question.py
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│ └── code.py
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├── services
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│ ├── openai_service.py
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│ └── auth_service.py
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├── models
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│ ├── request.py
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│ └── response.py
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├── utils
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│ ├── logger.py
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│ ├── exceptions.py
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│ ├── config.py
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│ └── auth.py
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└── tests
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└── test_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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- A virtual environment (recommended)
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- An OpenAI API key (obtain one from [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys))
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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-MVP.git
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cd OpenAI-API-Wrapper-Python-MVP
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```
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2. **Create a virtual environment (optional):**
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```bash
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python3 -m venv venv
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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. **Configure environment variables:**
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```bash
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cp .env.example .env
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# Fill in your OpenAI API key:
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OPENAI_API_KEY=<your_openai_api_key>
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```
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## 🏗️ Usage
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### 🏃‍♂️ Running the MVP
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1. **Start the FastAPI server:**
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```bash
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uvicorn main:app --host 0.0.0.0 --port 8000
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```
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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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source venv/bin/activate
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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. **Configure environment variables:**
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```bash
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cp .env.example .env
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# Fill in your OpenAI API key and other necessary variables:
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OPENAI_API_KEY=<your_openai_api_key>
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```
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4. **Run the application:**
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```bash
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uvicorn main:app --host 0.0.0.0 --port 8000
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```
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## 📜 API Documentation
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### 🔍 Endpoints
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- **`/models`:** (GET) Returns a list of available OpenAI models.
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- **`/generate`:** (POST) Generates text using a chosen OpenAI model.
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- **`/translate`:** (POST) Translates text between languages.
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- **`/question`:** (POST) Answers a question using an OpenAI model.
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- **`/code`:** (POST) Generates code in a specified programming language.
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### 🔒 Authentication
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The API uses basic authentication. You need to provide your OpenAI API key in the request header:
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```bash
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Authorization: Bearer <your_openai_api_key>
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```
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### 📝 Examples
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**Text Generation:**
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```bash
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curl -X POST http://localhost:8000/generate \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer <your_openai_api_key>" \
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-d '{"model": "text-davinci-003", "prompt": "Write a short story about a cat who goes on an adventure.", "temperature": 0.7}'
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```
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**Translation:**
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```bash
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curl -X POST http://localhost:8000/translate \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer <your_openai_api_key>" \
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-d '{"source_language": "en", "target_language": "fr", "text": "Hello, world!"}'
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```
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**Question Answering:**
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```bash
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curl -X POST http://localhost:8000/question \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer <your_openai_api_key>" \
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-d '{"question": "What is the capital of France?"}'
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```
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**Code Generation:**
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```bash
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curl -X POST http://localhost:8000/code \
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-H "Content-Type: application/json" \
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-H "Authorization: Bearer <your_openai_api_key>" \
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-d '{"language": "python", "prompt": "Write a function that prints Hello World."}'
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```
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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-MVP
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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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