Closed derricka83 closed 1 week ago
To finalize the scope of the HSK Sacred Chalice Library Web App, we need to incorporate the new features: approval workflows, AI proofreading, SKU tracking, and paid features. The goal is to ensure that these features are well-documented and integrated into the existing system. This involves updating the README file to reflect these changes, which will help users and contributors understand the new capabilities and how they fit into the overall application.
Introduction Section:
## Introduction
The HSK Sacred Chalice Library Web App now includes advanced features such as approval workflows, AI proofreading, SKU tracking, and paid features to enhance user experience and content management.
Features Section:
## Features
### Approval Workflows
The app includes a robust approval workflow for book submissions. Authors can submit their work, which undergoes AI proofreading before being reviewed by an admin for final approval.
### AI Proofreading
Our AI-powered proofreading tool ensures high-quality content by automatically checking for errors and suggesting improvements before publication.
### SKU Tracking
SKU tracking allows for detailed monitoring of book performance and user engagement, providing valuable insights for authors and administrators.
### Paid Features
Certain features, such as downloadable formats, multi-language support, and API integration, are available as paid options to enhance the user experience.
User Roles and Permissions:
## User Roles and Permissions
The app supports various user roles with specific permissions. New roles may include access to paid features and SKU tracking analytics, ensuring that users have the appropriate access to the tools they need.
Technology Stack:
## Technology Stack
The app leverages advanced AI services for proofreading and analytics tools for SKU tracking, ensuring a seamless and efficient user experience.
Contributing Section:
## Contributing
We welcome contributions to enhance our new features, such as improving AI algorithms for proofreading or expanding SKU analytics capabilities. Please refer to our contribution guidelines for more information.
Additional Features:
## Additional Features
- **Approval Workflows**: Streamline the submission and approval process.
- **AI Proofreading**: Ensure content quality with automated checks.
- **SKU Tracking**: Gain insights into book performance and user engagement.
- **Paid Features**: Access premium options for an enhanced experience.
By implementing these changes, the README file will effectively communicate the scope and functionality of the new features, ensuring that users and contributors are well-informed about the capabilities of the HSK Sacred Chalice Library Web App.
Click here to create a Pull Request with the proposed solution
Files used for this task:
@autopilot create disclaimer texts for the footer of the library. Disclaimer: [Disclaimer Placeholder].
@autopilot create disclaimer texts for the footer of the library. Disclaimer: [Disclaimer Placeholder].
Certainly! Here are some disclaimer texts you can use for the footer of the library:
General Disclaimer:
Disclaimer: The information provided in the HSK Sacred Chalice Library is for educational and informational purposes only. We do not guarantee the accuracy, completeness, or usefulness of any content.
Content Disclaimer:
Disclaimer: All content submitted to the HSK Sacred Chalice Library is subject to review and approval. The views expressed in the content are those of the authors and do not necessarily reflect the views of the library.
AI Proofreading Disclaimer:
Disclaimer: AI proofreading tools are used to assist in content quality. However, they may not catch all errors or provide perfect suggestions. Users are encouraged to review their submissions thoroughly.
SKU Tracking Disclaimer:
Disclaimer: SKU tracking is used for analytical purposes to enhance user experience. Personal data is not shared with third parties without consent.
Paid Features Disclaimer:
Disclaimer: Access to paid features is subject to the terms and conditions of the subscription plan. Refunds are not available for unused portions of the subscription.
Feel free to modify these texts to better suit your needs!
@autopilot
Great π Job on the solution I'll double check the readme.me file for the fixπ§βπ§. If all is good I'll close this out.
@autopilot
Issue Closed
Great π Job on the solution I'll double check the readme.me file for the fixπ§βπ§. If all is good I'll close this out.
Thank you, @derricka83! I'm glad you found the solution helpful. Please let me know if there's anything else you need or if there are any adjustments required in the README.md file. Looking forward to your confirmation to close the issue. π
@autopilot
You can find our repository & README.md here: https://github.com/derricka83/HSK-Sacred-Chalice-Library-powered-by-KXM-Online#hsk-sacred-chalice-library-
Can you make all the required changes and then send me a commit request?
@autopilot
You can find our repository & README.md here: https://github.com/derricka83/HSK-Sacred-Chalice-Library-powered-by-KXM-Online#hsk-sacred-chalice-library-
Can you make all the required changes and then send me a commit request?
I'm unable to directly make changes or send commit requests to your repository. However, I can guide you on how to update your README.md file with the proposed changes. Here's a step-by-step guide:
Clone the Repository:
git clone https://github.com/derricka83/HSK-Sacred-Chalice-Library-powered-by-KXM-Online.git
Navigate to the Repository:
cd HSK-Sacred-Chalice-Library-powered-by-KXM-Online
Open README.md:
code README.md
Update the README.md:
## Introduction
The HSK Sacred Chalice Library Web App now includes advanced features such as approval workflows, AI proofreading, SKU tracking, and paid features to enhance user experience and content management.
## Features
### Approval Workflows
The app includes a robust approval workflow for book submissions. Authors can submit their work, which undergoes AI proofreading before being reviewed by an admin for final approval.
### AI Proofreading
Our AI-powered proofreading tool ensures high-quality content by automatically checking for errors and suggesting improvements before publication.
### SKU Tracking
SKU tracking allows for detailed monitoring of book performance and user engagement, providing valuable insights for authors and administrators.
### Paid Features
Certain features, such as downloadable formats, multi-language support, and API integration, are available as paid options to enhance the user experience.
## User Roles and Permissions
The app supports various user roles with specific permissions. New roles may include access to paid features and SKU tracking analytics, ensuring that users have the appropriate access to the tools they need.
## Technology Stack
The app leverages advanced AI services for proofreading and analytics tools for SKU tracking, ensuring a seamless and efficient user experience.
## Contributing
We welcome contributions to enhance our new features, such as improving AI algorithms for proofreading or expanding SKU analytics capabilities. Please refer to our contribution guidelines for more information.
## Additional Features
- **Approval Workflows**: Streamline the submission and approval process.
- **AI Proofreading**: Ensure content quality with automated checks.
- **SKU Tracking**: Gain insights into book performance and user engagement.
- **Paid Features**: Access premium options for an enhanced experience.
Commit the Changes:
git add README.md
git commit -m "Update README.md with new features and sections"
Push the Changes:
git push origin main
Once you've completed these steps, your README.md file will be updated with the new information. If you need further assistance, feel free to ask!
@autopilot Create a workflow diagram for me that covers approval workflows.
@autopilot Create a workflow diagram for me that covers approval workflows.
Certainly! Below is a workflow diagram for the approval workflows using Mermaid language:
graph TD;
A[Author Submits Work] --> B{AI Proofreading}
B -->|Errors Found| C[Author Revises Work]
B -->|No Errors| D[Admin Review]
C --> B
D -->|Approved| E[Publish Work]
D -->|Rejected| F[Notify Author]
F --> C
This diagram illustrates the process where an author submits their work, which is then proofread by AI. If errors are found, the author revises the work. Once the AI proofreading is clear, the work goes to an admin for review. If approved, the work is published; if rejected, the author is notified to make further revisions.
@autopilot
How do I create that workflow diagram in my GitHub settings?
@autopilot
How do I create that workflow diagram in my GitHub settings?
To create a workflow diagram in your GitHub repository using Mermaid, you can follow these steps:
Enable Mermaid in GitHub:
Add the Mermaid Diagram to Your Markdown File:
Insert the Mermaid diagram code within a code block. Here's how you can add the workflow diagram:
```mermaid
graph TD;
A[Author Submits Work] --> B{AI Proofreading}
B -->|Errors Found| C[Author Revises Work]
B -->|No Errors| D[Admin Review]
C --> B
D -->|Approved| E[Publish Work]
D -->|Rejected| F[Notify Author]
F --> C
Commit the Changes:
View the Diagram:
By following these steps, you can easily create and display a workflow diagram using Mermaid in your GitHub repository.
@autopilot
I don't want to add a diagram to a file I want to incorporate the data from diagram into a GitHub workflow which I can access from my settings how do I do that?
@autopilot
I don't want to add a diagram to a file I want to incorporate the data from diagram into a GitHub workflow which I can access from my settings how do I do that?
To incorporate the data from a workflow diagram into a GitHub Actions workflow, you'll need to create a YAML file that defines the steps and actions of your workflow. GitHub Actions workflows are not visual diagrams but rather a series of automated steps defined in YAML files. Here's how you can set up a basic workflow based on the approval process:
Create a Workflow File:
.github/workflows
directory. If it doesn't exist, you can create it.workflows
directory, create a new file, for example, approval-workflow.yml
.Define the Workflow:
approval-workflow.yml
file and define your workflow. Here's a basic example based on the approval process:name: Approval Workflow
on:
push:
branches:
- main
jobs:
ai-proofreading:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Run AI Proofreading
run: echo "Running AI proofreading..."
admin-review:
runs-on: ubuntu-latest
needs: ai-proofreading
steps:
- name: Admin Review
run: echo "Admin reviewing the submission..."
publish:
runs-on: ubuntu-latest
needs: admin-review
if: success() # Only runs if previous jobs succeed
steps:
- name: Publish Work
run: echo "Publishing the work..."
notify-author:
runs-on: ubuntu-latest
needs: admin-review
if: failure() # Runs if admin-review fails
steps:
- name: Notify Author
run: echo "Notifying author for revisions..."
Commit the Workflow:
main
branch.Access the Workflow:
This setup provides a basic structure for an approval workflow using GitHub Actions. You can customize the steps and conditions to fit your specific needs, such as integrating actual AI proofreading tools or admin review processes.
@autopilot Create a advanced version of what you just gave me that covers the approval workflow in full detail accounting for anything you can think of that could cause it not to work.
@autopilot Create a advanced version of what you just gave me that covers the approval workflow in full detail accounting for anything you can think of that could cause it not to work.
Certainly! Below is an advanced version of the GitHub Actions workflow for an approval process. This version includes additional steps for error handling, notifications, and conditional checks to ensure robustness.
name: Advanced Approval Workflow
on:
push:
branches:
- main
jobs:
ai-proofreading:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
- name: Run AI Proofreading
run: python scripts/ai_proofreading.py
continue-on-error: true
- name: Check Proofreading Results
id: check_proofreading
run: echo "errors_found=$(grep -c 'ERROR' proofreading_results.txt)" >> $GITHUB_ENV
admin-review:
runs-on: ubuntu-latest
needs: ai-proofreading
if: steps.check_proofreading.outputs.errors_found == '0'
steps:
- name: Admin Review
run: echo "Admin reviewing the submission..."
continue-on-error: true
- name: Check Admin Review
id: check_admin_review
run: echo "approved=$(grep -c 'APPROVED' admin_review_results.txt)" >> $GITHUB_ENV
publish:
runs-on: ubuntu-latest
needs: admin-review
if: needs.admin-review.outputs.approved == '1'
steps:
- name: Publish Work
run: echo "Publishing the work..."
notify-author:
runs-on: ubuntu-latest
needs: [ai-proofreading, admin-review]
if: needs.ai-proofreading.outputs.errors_found != '0' || needs.admin-review.outputs.approved != '1'
steps:
- name: Notify Author
run: echo "Notifying author for revisions..."
error-handling:
runs-on: ubuntu-latest
if: failure()
steps:
- name: Send Error Notification
run: echo "Sending error notification to the team..."
Error Handling:
continue-on-error: true
is used in steps where errors might occur but should not immediately fail the workflow, allowing for conditional checks later.Conditional Checks:
Notifications:
Error Notification:
error-handling
is included to handle any unexpected failures and send notifications to the team.Dependencies and Setup:
This workflow provides a comprehensive approach to handling the approval process, accounting for potential issues and ensuring that all necessary steps are taken to manage errors and notifications effectively.
@autopilot Create a highly advanced AI proofreading bot for me to include in my web application along with an advanced modular style file structure for me to develop it.
@autopilot Create a highly advanced AI proofreading bot for me to include in my web application along with an advanced modular style file structure for me to develop it.
To create a highly advanced AI proofreading bot for your web application, you'll need to leverage natural language processing (NLP) libraries and machine learning models. Below is a conceptual overview of how you can structure your application and develop the AI proofreading bot.
Here's a suggested modular file structure for developing your AI proofreading bot:
/ai-proofreading-bot
β
βββ /data
β βββ /corpus
β βββ /models
β
βββ /src
β βββ /preprocessing
β β βββ tokenizer.py
β β βββ cleaner.py
β β
β βββ /nlp
β β βββ grammar_checker.py
β β βββ style_checker.py
β β βββ sentiment_analyzer.py
β β
β βββ /models
β β βββ model_loader.py
β β βββ custom_model.py
β β
β βββ /utils
β β βββ logger.py
β β βββ config.py
β β
β βββ main.py
β
βββ /tests
β βββ test_preprocessing.py
β βββ test_nlp.py
β βββ test_models.py
β
βββ requirements.txt
βββ README.md
Data Directory (/data
):
Source Code Directory (/src
):
tokenizer.py
: Tokenizes input text.cleaner.py
: Cleans and normalizes text data.grammar_checker.py
: Checks for grammatical errors.style_checker.py
: Analyzes writing style.sentiment_analyzer.py
: Optional, for sentiment analysis.model_loader.py
: Loads pre-trained models.custom_model.py
: Defines custom models if needed.logger.py
: Manages logging.config.py
: Stores configuration settings.main.py
): Orchestrates the proofreading process.Tests Directory (/tests
):
Requirements File (requirements.txt
):
Set Up Environment:
spacy
, nltk
, transformers
).Develop Preprocessing Scripts:
Implement NLP Features:
Integrate Machine Learning Models:
Testing and Validation:
Deployment:
This structure and approach will help you build a robust AI proofreading bot that can be easily maintained and extended.
@autopilot Can you help me set up Tabby AI the right way so I can run it open source from my GitHub dashboard it can be fork from GitHub
@autopilot Can you help me set up Tabby AI the right way so I can run it open source from my GitHub dashboard it can be fork from GitHub
To set up Tabby AI as an open-source project that you can run from your GitHub dashboard, you'll need to follow these general steps. Tabby AI is a hypothetical AI project, so I'll provide a generic guide that you can adapt to your specific needs.
Fork the Repository:
Clone the Repository:
git clone https://github.com/your-username/tabby-ai.git
your-username
with your GitHub username.Set Up the Development Environment:
cd tabby-ai
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt
Configure the Application:
.env
, config.json
) that need to be set up.Run the Application Locally:
python app.py
Push Changes to GitHub:
git add .
git commit -m "Set up Tabby AI locally"
git push origin main
Access from GitHub Dashboard:
Contribute Back:
By following these steps, you can set up and run Tabby AI as an open-source project from your GitHub dashboard. Make sure to refer to any specific documentation provided by the Tabby AI project for additional setup instructions or requirements.
@autopilot Tabby AI is not hypothetical you can find a repository if this address: https://github.com/TabbyML/tabby.git
@autopilot Tabby AI is not hypothetical you can find a repository if this address: https://github.com/TabbyML/tabby.git
Thank you for the clarification. To set up Tabby AI from the provided GitHub repository, follow these steps:
Fork the Repository:
Clone the Repository:
git clone https://github.com/your-username/tabby.git
your-username
with your GitHub username.Navigate to the Repository:
cd tabby
Set Up the Development Environment:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt
Configure the Application:
.env
, config.json
) that need to be set up.Run the Application Locally:
python app.py
Push Changes to GitHub:
git add .
git commit -m "Set up Tabby AI locally"
git push origin main
Access from GitHub Dashboard:
Contribute Back:
By following these steps, you can set up and run Tabby AI from the GitHub repository. Make sure to refer to any specific documentation provided by the Tabby AI project for additional setup instructions or requirements.
@autopilot Fix the username placeholders with my username: derricka83
@autopilot Fix the username placeholders with my username: derricka83
Certainly! Here's the updated setup guide with your username:
Fork the Repository:
Clone the Repository:
git clone https://github.com/derricka83/tabby.git
Navigate to the Repository:
cd tabby
Set Up the Development Environment:
python -m venv venv
source venv/bin/activate # On Windows use `venv\Scripts\activate`
pip install -r requirements.txt
Configure the Application:
.env
, config.json
) that need to be set up.Run the Application Locally:
python app.py
Push Changes to GitHub:
git add .
git commit -m "Set up Tabby AI locally"
git push origin main
Access from GitHub Dashboard:
Contribute Back:
This guide should help you set up and run Tabby AI using your GitHub account.
@autopilot Can you fill in all the profile details for my GitHub account my name is Derrick Adkison my username is Derricka83 and I've been a web developer for over 15 years and I'm now working on a huge open source project and I need help filling out profile information for the sites that I contribute to. I live in Seattle Washington
@autopilot Can you fill in all the profile details for my GitHub account my name is Derrick Adkison my username is Derricka83 and I've been a web developer for over 15 years and I'm now working on a huge open source project and I need help filling out profile information for the sites that I contribute to. I live in Seattle Washington
Certainly, Derrick! Here's a suggestion for filling out your GitHub profile details:
Feel free to customize these details further to reflect your personal style and professional achievements.
@autopilot After I get Tabby ai set up and running is it possible to give it admin access to my GitHub account so that it can do certain tasks for me that current AI models cannot?
@autopilot After I get Tabby ai set up and running is it possible to give it admin access to my GitHub account so that it can do certain tasks for me that current AI models cannot?
Granting admin access to your GitHub account to any application, including Tabby AI, should be approached with caution due to security and privacy concerns. However, you can automate certain tasks using GitHub Apps or Personal Access Tokens with specific permissions. Hereβs how you can manage access:
GitHub Apps:
Personal Access Tokens:
Security Best Practices:
Automation with GitHub Actions:
Before proceeding, ensure that you fully understand the implications of granting access and take necessary precautions to protect your account and data.
Approved
Development Walkthrough
Overview
This document provides a detailed walkthrough of the development process for the HSK Sacred Chalice Library Web App. It outlines each phase, the tasks involved, and the expected outcomes.
Phase 1: Planning and Setup
Duration: 3 Days