zf-memician 0.1.1

Memician is a state of the art Memelord

Memician

Memician is the state of the art Memelord

$ pip install zf-memician

Design

• Memician finds relevant memes by executing semantic search over the memes library
• Memician uses Rewriter to convert the user's prompt into a MemeLibrary search query
• Memician uses Structurer to convert the user's prompt into inputs for MemeTemplate

graph TD
    User --> |Prompt| M[Memician]

    M --> |Query| L[Library]

    L --> T1[Template 1]
    L --> T2[Template 2]
    L --> T3[Template n]

    M --> |Template, Inputs| G[Generator]
    G --> |Output| Meme

    M1[Memician] --> |Prompt, Template| S1(Structurer)
    S1 --> |Inputs| M1

    M2[Memician] --> |Prompt| R(Rewriter)
    R --> |Query| M2

Notes

• You can generate a concise description of a meme by using an LLM model

✨ Explain this given meme in 15 words or less: distracted boyfriend meme

Guy ignores his girlfriend, captivated by another woman representing a new interest or trend.

Usage

memician <path> <template> <*args> <*options>

• path is where on your computer you want to save the meme.
• template is the underlying template to use for the meme (not case sensitive).
• *args are all arguments to be placed onto the template.
  • Multi-word arguments must be surrounded by "" quotation marks
  • Arguments can be images, pasted onto the template. Image-links should be given in '<>' angle brackets.
• *options are the options that modify behavior of the generation.
  • Options are passed with '{}' curly braces.
  • Currently supported options: "stretch".

License

All rights reserved.