Explore the nuanced world of drum therapy with the Wellness Workshop Review Composer: an AI-powered tool. Customise parameters to shape your reviews, which inject personal experiences, detail workshop structures, and dive deep into therapeutic aspects. The app's uniqueness lies in dissecting niche subject matter like Drum Circle & Percussion Therapy. Through AI, the app crafts engaging, detailed content, focusing on wellness and mental health benefits of the therapy - all for a comprehensive, personalised review.
To run this app online: Wellness Workshop Review Composer Online
To learn more about AI Apps for Wellness Blogger use-cases in the Drum Circle & Percussion Therapy industry, read How to Enhance Drum Circle Therapy Blogging with AI Tools
HeroML is an AI Prompt Chain/Workflow interpreter for Apps built on https://hero.page
To see other apps, visit the Hero Apps page or explore AI Apps for all industries in the blog section
For more documentation, visit Hero docs, and learn about AI App Workflows
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To install the HeroML CLI tool, you need to have Node.js and npm (comes with Node.js) installed on your machine. If you don't have these, please install them first.
Then, run the following command in your terminal:
npm install -g heroml
This will install the HeroML CLI tool globally on your system, allowing you to use the hero
command from any directory.
If you don't want to install it globally, you can run:
npm install heroml
and use it like:
npx hero run ./wellness_workshop_review_composer.heroml
We'll be using hero run ...
in this tutorial for simplicity.
Before using the HeroML CLI tool, you need to configure your OpenAI API key.
Create a heroconfig.json
file in your home directory with the following content:
{
"openaiApiKey": "your-openai-api-key"
}
Replace "your-openai-api-key"
with your actual OpenAI API key.
To run a HeroML script, use the run
command followed by the path to your script:
hero run ./wellness_workshop_review_composer.heroml
You can provide initial variable values as command-line options. For example, if your script expects a variable named number_of_colors
, you can provide its value as follows:
hero run --number_of_colors 4 ./wellness_workshop_review_composer.heroml
If you do not provide a value for a variable, the HeroML CLI tool will prompt you to enter it interactively.
You can specify the output directory and the filename of the output file using command-line options:
- The
-o
or--output-dir
option allows you to specify the output directory. By default, it is./outputs/
.
hero run --output-dir /custom/output/directory ./wellness_workshop_review_composer.heroml
- The
-f
or--filename
option allows you to specify the filename of the output file. By default, it isresponse_TIMESTAMP.json
.
hero run --filename custom_filename.json ./wellness_workshop_review_composer.heroml
The CLI tool writes the output to a JSON file in the specified directory. It will print the path of the output file to the console:
Success! Output written to /custom/output/directory/custom_filename.json