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https://github.com/coslynx/ai-powered-request-response-system-mvp
AI-powered system for generating responses to requests... Created at https://coslynx.com
https://github.com/coslynx/ai-powered-request-response-system-mvp
ai-wrapper api-endpoint code-generation developer-tools devops fastapi jwt-authentication machine-learning minimum-viable-product mvp openai-api openai-integration postgresql python python-backend request-response rest-api software-development sqlalchemy user-interface
Last synced: 16 days ago
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AI-powered system for generating responses to requests... Created at https://coslynx.com
- Host: GitHub
- URL: https://github.com/coslynx/ai-powered-request-response-system-mvp
- Owner: coslynx
- Created: 2024-10-26T18:18:43.000Z (19 days ago)
- Default Branch: main
- Last Pushed: 2024-10-26T18:21:11.000Z (19 days ago)
- Last Synced: 2024-10-26T20:18:46.008Z (18 days ago)
- Topics: ai-wrapper, api-endpoint, code-generation, developer-tools, devops, fastapi, jwt-authentication, machine-learning, minimum-viable-product, mvp, openai-api, openai-integration, postgresql, python, python-backend, request-response, rest-api, software-development, sqlalchemy, user-interface
- Language: Python
- Size: 16.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
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.
## 📑 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
```text
├── 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
- Python 3.9+
- Docker and Docker Compose
- PostgreSQL
- OpenAI API Key (obtain from [https://platform.openai.com/account/api-keys](https://platform.openai.com/account/api-keys))
### 🚀 Setup Instructions
1. Clone the repository:
```bash
git clone https://github.com/coslynx/AI-Powered-Request-Response-System-MVP.git
cd AI-Powered-Request-Response-System-MVP
```
2. Install dependencies:
```bash
pip install -r requirements.txt
```
3. Set up the database:
```bash
docker-compose up -d database
alembic upgrade head
```
4. Configure environment variables:
```bash
cp .env.example .env
# Fill in the required environment variables: OPENAI_API_KEY, DATABASE_URL
```
## 🏗️ Usage
### 🏃♂️ Running the MVP
1. Start the development server:
```bash
uvicorn main:app --reload
```
## 🌐 Hosting
### 🚀 Deployment Instructions
1. Build the Docker image:
```bash
docker build -t ai-request-response-system .
```
2. Run the container:
```bash
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):
```json
{
"text": "Your request to the AI",
"model": "text-davinci-003" // Optional, defaults to text-davinci-003
}
```
- Response (JSON):
```json
{
"response": "AI generated response"
}
```
## 📄 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: AI-Powered-Request-Response-System-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!
