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AI-Powered-Request-Response-System-MVP

A Python backend that simplifies interaction with OpenAI's powerful language models.

Developed with the software and tools below.

FastAPI Framework Python Backend PostgreSQL Database OpenAI Language Models
git-last-commit GitHub commit activity GitHub top language

📑 Table of Contents

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

📍 Overview

This repository contains the backend for an AI Powered Request Response System built with Python, FastAPI, and PostgreSQL. This MVP aims to provide a streamlined and efficient way to access OpenAI's powerful language models.

📦 Features

Feature Description
⚙️ Architecture The backend follows a modular architecture with separate components for request handling, API interaction, response formatting, and database management, ensuring maintainability and scalability.
📄 Documentation The repository includes a README file that provides a comprehensive overview of the MVP, its dependencies, and usage instructions.
🔗 Dependencies The codebase relies on various external libraries and packages, including FastAPI, OpenAI, SQLAlchemy, and PostgreSQL, which are essential for building the API, interacting with OpenAI, and managing data storage.
🧩 Modularity The modular structure enables easier maintenance and reusability, with separate modules for different functionalities, ensuring a clean and organized codebase.
🧪 Testing Unit tests are implemented using the pytest framework to ensure the reliability and robustness of the core functionalities.
⚡️ Performance The backend is designed for efficient request handling and response processing, leveraging asynchronous operations and potential caching mechanisms.
🔐 Security The backend prioritizes security through robust input validation, secure API key management, and adherence to best practices for data handling.
🔀 Version Control The repository utilizes Git for version control, facilitating collaboration and tracking code changes.
🔌 Integrations The backend seamlessly integrates with the OpenAI API using its Python library, enabling communication with powerful language models like GPT-3.
📶 Scalability The backend is designed with scalability in mind, utilizing frameworks like FastAPI and PostgreSQL that offer horizontal scalability features for handling increased user load.

📂 Structure

├── config.py
├── startup.sh
├── commands.json
├── main.py
├── requirements.txt
├── database
│   ├── __init__.py
│   └── models.py
├── utils
│   ├── __init__.py
│   └── openai_api_call.py
└── routers
    └── process.py

💻 Installation

🔧 Prerequisites

🚀 Setup Instructions

  1. Clone the repository: 
    git clone https://github.com/coslynx/AI-Powered-Request-Response-System-MVP.git
cd AI-Powered-Request-Response-System-MVP
  2. Install dependencies: 
    pip install -r requirements.txt
  3. Set up the database: 
    docker-compose up -d database
alembic upgrade head
  4. Configure environment variables: 
    cp .env.example .env
# Fill in the required environment variables: OPENAI_API_KEY, DATABASE_URL

🏗️ Usage

🏃‍♂️ Running the MVP

  1. Start the development server: 
    uvicorn main:app --reload

🌐 Hosting

🚀 Deployment Instructions

  1. Build the Docker image: 
    docker build -t ai-request-response-system .
  2. Run the container: 
    docker run -d -p 8000:8000 ai-request-response-system

📜 API Documentation

🔍 Endpoints

  • POST /process
    • Description: Processes a user request using OpenAI's language models.
    • Request Body (JSON): 
      {
  "text": "Your request to the AI",
  "model": "text-davinci-003" // Optional, defaults to text-davinci-003
}
    • Response (JSON): 
      {
  "response": "AI generated response"
}

📄 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: AI-Powered-Request-Response-System-MVP

📞 Contact

For any questions or concerns regarding this AI-generated MVP, please contact CosLynx at:

🌐 CosLynx.com

Create Your Custom MVP in Minutes With CosLynxAI!