A hands-on learning repository for exploring LangChain — covering models, prompts, chains, memory, agents, and more with practical Python examples and mini-projects.
This website utilizes the Hugging Face API to generate image descriptions based on user-provided text input. The application is built with HTML, CSS, and JavaScript, and it leverages the facebook/bart-large-cnn model for generating textual summaries.
Easily interact with your Huggingface models, collections, etc. in an attractive and user-friendly graphical user interface.
This tool is designed to boost your confidence through practice questions and help you overcome anxiety.
Streamlit app for a Blender Helper Bot using a pre-built TiDB vector store
A simple bash script that utilizes the Hugging Face API to generate images based on textual descriptions. This script sends a POST request to the Hugging Face inference API for the facebook/bart-large-cnn model with a given input text, and retrieves the generated image data.
Readify: A Smart Extension that summarizes and reads out selected text using Hugging Face and Google TTS APIs.
This is mini project for 2nd Semester of Mtech in Applied AI and Communications.
The PDF Q&A Application is a Full-Stack project that allows users to upload PDFs and ask questions about their contents.
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