Skip to content

Latest commit

 

History

History
84 lines (46 loc) · 3.49 KB

SPECS.md

File metadata and controls

84 lines (46 loc) · 3.49 KB

Auto-Pod: Project Specifications

###############################################################################

Table of Contents

  1. Overview
  2. Functional Specifications
  3. Technical Specifications
  4. System Requirements
  5. Development Tools
  6. Quality Assurance
  7. Future Enhancements

###############################################################################

Overview

Auto-Pod is a script generation application designed to simplify the process of creating organized, conceptual content for structured podcasts. It utilizes advanced AI technologies to generate scripts based on user input and predefined templates.

###############################################################################

Functional Specifications

  • Predefined User Inputs: Auto-Pod will have predefined templates that users can select to generate podcast scripts.

  • Open User Inputs: Users will be able to input their own parameters to generate unique podcast scripts.

  • Recursive Self-Prompting: Auto-Pod will have the capability to prompt itself recursively to generate early deliverables for new content.

  • Dynamic Variables: Users will be able to define complex dynamic variables to generate diverse podcast content.

###############################################################################

Technical Specifications

  • Language: Python (latest stable version)

  • Libraries: OpenAI's GPT-4 API, Flask for Web Application, and other necessary Python libraries.

  • API: OpenAI's GPT-4 API for generating podcast scripts.

  • Deployment: Cloud-based server for hosting the application. Specifics will depend on the provider chosen.

###############################################################################

System Requirements

  • Hardware: Adequate to run the latest stable version of Python and associated libraries.

  • Software: Latest stable versions of Python and Flask. An up-to-date web browser for interacting with the application.

###############################################################################

Development Tools

  • IDE: PyCharm, VS Code, or any other preferred Python IDE.

  • Version Control: Git.

  • Project Management: Agile project management tools like Jira, Trello, etc.

###############################################################################

Quality Assurance

  • Unit Testing: Python's built-in unittest library will be used for unit testing.

  • Integration Testing: Test scripts will be developed to test the application end-to-end.

  • Usability Testing: Usability tests will be carried out with a small group of users to understand the user experience and make improvements.

###############################################################################

Future Enhancements

  • Voice/Video Modules: Future versions of Auto-Pod will include open-source voice/video modules for self-generating audio and visuals.

  • 3rd-party Plugin Support: The completed version of Auto-Pod will include a port for zipped 3rd-party plugins for character modules and additional features.

  • UI/UX Improvements: Based on feedback from usability testing and user feedback, the UI/UX will be continuously improved to enhance the user experience.


For further information or inquiries, please refer to the project README.md file or reach out to the development team.