we-app

AI-powered image captioning app using the BLIP model. Instantly generate descriptions for uploaded images, local folders, or images scraped from any webpage. Simple Gradio web interfaces and Docker support make it easy to use for fast, practical image understanding.

微信小程序商城，Taro 版

A small web app for keeping track of students, subjects, and grades. Built with Flask and SQLite no external database or build step, so it runs anywhere Python does.

🔍 AI-powered document analysis webapp - Upload files (PDF, DOCX, TXT, CSV, XLSX) and get intelligent analysis using local Ollama AI. Built with Flask and Python. Privacy-first with local processing.

This repository contains a collection of interactive web applications developed using the Streamlit framework. These apps cover various use cases such as sentiment analysis, data visualization, image classification, and stock price prediction, demonstrating the versatility and power of Streamlit for creating data-driven web applications.