Image search for relevant meme retrieval via natural language
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MemeMeow is a natural language-based tool for retrieving specific meme images, primarily focused on the "Zhang Weixiang" meme. It allows users to search for memes using descriptive queries, making it easier to find relevant images without knowing exact filenames or tags. The project targets users who frequently use memes in communication and offers a web interface, API, and even an iOS shortcut for convenient access.
How It Works
The system utilizes embedding models to enable question-and-answer style retrieval, automatically responding to queries with appropriate memes. It supports extensibility by integrating with Vision-Language Models (VLMs) for efficient image tagging and resource package creation. Users can also contribute their own meme resource packages to the community.
Quick Start & Requirements
pip install -r requirements.txt
.python -m streamlit run app.py
.Highlighted Details
https://api.zvv.quest/search
.Maintenance & Community
The project is community-driven, with contributions welcomed via Pull Requests and Issues. Links to related applications and community resources are available.
Licensing & Compatibility
The project is licensed under the MIT License, permitting commercial use and linking with closed-source projects.
Limitations & Caveats
Uploading new images and then exporting resource packages requires regenerating the cache. Migrating from older versions involves re-labeling and exporting/importing resource packages.
2 months ago
1 day