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Jean Louis PRO

JLouisBiz

AI & ML interests

- LLM for sales, marketing, promotion - LLM for Website Revision System - increasing quality of communication with customers - helping clients access information faster - saving people from financial troubles

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reacted to fantos's post with šŸ”„ about 2 hours ago
šŸŽØ BadgeCraft: Create Beautiful Badges with Ease! ✨ Hello there! Today I'm introducing BadgeCraft, a simple app that lets you create stunning badges for your websites, GitHub READMEs, and documentation. 🌟 Key Features šŸ–Œļø 14 diverse color options including vibrant neon colors šŸ”¤ Custom text input for label and message šŸ–¼ļø Support for 2000+ logos via Simple Icons šŸ”— Clickable link integration šŸ‘ļø Real-time preview šŸ’» Ready-to-use HTML code generation šŸ“ How to Use Label - Enter the text to display on the left side of the badge (e.g., "Discord", "Version", "Status") Message - Enter the text to display on the right side of the badge Logo - Type the name of a logo provided by Simple Icons (e.g., "discord", "github") Style - Choose the shape of your badge (flat, plastic, for-the-badge, etc.) Color Settings - Select background color, label background color, and logo color Link - Enter the URL that the badge will link to when clicked āœ… Use Cases Add social media links to your GitHub project README Display version information or download links on your website Include tech stack badges in blog posts Show status indicators in documentation (e.g., "in development", "stable") šŸ’” Tips Click on any of the prepared examples to automatically fill in all settings Copy the generated HTML code and paste directly into your website or blog HTML works in GitHub READMEs, but if you prefer markdown, use the ![alt text](badge URL) format šŸ‘Øā€šŸ’» Tech Stack This app was built using Gradio and leverages the shields.io API to generate badges. Its simple UI makes it accessible for everyone! šŸ”— https://huggingface.co/spaces/openfree/Badge ✨ Available under MIT License - feel free to use and modify.
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JLouisBiz's activity

reacted to fantos's post with šŸ”„ about 2 hours ago
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957
šŸŽØ BadgeCraft: Create Beautiful Badges with Ease! ✨
Hello there! Today I'm introducing BadgeCraft, a simple app that lets you create stunning badges for your websites, GitHub READMEs, and documentation.

🌟 Key Features

šŸ–Œļø 14 diverse color options including vibrant neon colors
šŸ”¤ Custom text input for label and message
šŸ–¼ļø Support for 2000+ logos via Simple Icons
šŸ”— Clickable link integration
šŸ‘ļø Real-time preview
šŸ’» Ready-to-use HTML code generation

šŸ“ How to Use

Label - Enter the text to display on the left side of the badge (e.g., "Discord", "Version", "Status")
Message - Enter the text to display on the right side of the badge
Logo - Type the name of a logo provided by Simple Icons (e.g., "discord", "github")
Style - Choose the shape of your badge (flat, plastic, for-the-badge, etc.)
Color Settings - Select background color, label background color, and logo color
Link - Enter the URL that the badge will link to when clicked

āœ… Use Cases

Add social media links to your GitHub project README
Display version information or download links on your website
Include tech stack badges in blog posts
Show status indicators in documentation (e.g., "in development", "stable")

šŸ’” Tips

Click on any of the prepared examples to automatically fill in all settings
Copy the generated HTML code and paste directly into your website or blog
HTML works in GitHub READMEs, but if you prefer markdown, use the ![alt text](badge URL) format

šŸ‘Øā€šŸ’» Tech Stack
This app was built using Gradio and leverages the shields.io API to generate badges. Its simple UI makes it accessible for everyone!

šŸ”— openfree/Badge

✨ Available under MIT License - feel free to use and modify.
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posted an update about 3 hours ago
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https://www.youtube.com/watch?v=AN-iZblyZNE

Discover how to harness the power of NOMIC Embed Vision v1.5 to find similar images within GNU Emacs Dired mode. With this innovative embeddings model, you can search for images based on semantic similarities using simple keywords. This is possible because the text model of NOMIC shares the same vector space as the Embed Vision model.

In this video, we'll show you how to run the script on your computer and explore the capabilities of this groundbreaking model. You'll learn how to find similar pictures and enjoy the convenience of searching for images using just a few words.

Don't miss out on this exciting opportunity to enhance your image searching experience with NOMIC Embed Vision v1.5 in Emacs Lisp.

Script to run model:
https://gitea.com/gnusupport/LLM-Helpers/src/branch/main/bin/nomic-embed-vision-v1.5-api.py

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upvoted an article about 20 hours ago
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Image Similarity with Hugging Face Datasets and Transformers

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