Prototype
P
Prototype
Overview :
Prototype is a template for quickly setting up Django projects, integrating OpenAI functionality, and enabling convenient deployment through Docker containerization. It provides developers with an efficient starting point to quickly launch and run an AI-powered web application. By simplifying environment configuration and project setup processes, this template helps developers focus on core feature development while leveraging OpenAI's powerful capabilities to extend the application's intelligent features. The project is open-source and licensed under MIT, making it suitable for developers looking to rapidly develop intelligent web applications.
Target Users :
This product is ideal for developers looking to rapidly develop AI-powered web applications, particularly those familiar with the Django framework and seeking to leverage OpenAI capabilities to extend their application's functionality. It offers developers an efficient and convenient starting point, allowing them to focus on core feature development without the need to build projects and configure environments from scratch.
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Use Cases
Developers can use this template to quickly set up an intelligent question-answering system, leveraging OpenAI's API for natural language processing and automated question answering.
Teams can develop an automatic document generation tool based on this template, using OpenAI to generate high-quality text content.
Startups can use this template to quickly build a web application with intelligent recommendation features, deploying it rapidly to a production environment via Docker.
Features
Provides a quick-start Django project template to streamline the development process.
Integrates OpenAI functionality to support intelligent interactions and automated tasks.
Utilizes Docker containerization to ensure environment consistency.
Supports configuration of the OpenAI API key through environment variables.
Offers a one-click startup script for quick project initialization and execution.
How to Use
1. Clone the project repository: `git clone https://github.com/vorniches/prototype your_app_name`
2. Navigate to the project directory: `cd your_app_name`
3. Run the setup script: `./setup.sh`. This script creates the Django project, moves `openai_helper.py` to the appropriate directory, and starts the Docker containers.
4. Access the Django development server: `http://localhost:9009`
5. Configure environment variables: Copy `example.env` to `.env` and add your OpenAI API key.
6. Modify the Django project code as needed to extend functionality.
7. Manage containers using Docker Compose to ensure consistent development and production environments.
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