Popular GitHub Repositories for Wikipedia Api

ZAC: Your robotic virtual assistant - Enhancing human-machine interaction and automation through voice recognition and web scraping.

Darvin is a Python-based voice-activated chatbot that interacts with users via microphone and speaker. It can perform web searches, play music, tell the time and date, fetch weather information, and provide Wikipedia summaries on command. Utilizing various libraries such as speech_recognition, pyttsx3, requests, pygame, and wikipediaapi.

Enhance GPT-3.5-Turbo output using Retrieval-Augmented Generation (RAG) with a user-friendly interface. Select between Wikipedia or integrate external documents to experience precise, context-aware responses.

Tool to identify Wikipedia articles that might have a promotional bias using machine learning.

Straightforward command line chat interface for the Google gemini-pro LLM. Includes 2 alternate versions that inject supporting info from wikipedia and howdoi into the user's prompts.

Virtual assistant with python for windows

LLM-based Q&A on preloaded docs, raw data, Wikipedia articles and scraped web pages with knowledge graphs, analytics, charts and Streamlit interface

voice assistant

This repository contains a Python script that uses the Langchain framework to automatically generate YouTube video titles and scripts. The script uses the GPT-3.5 language model to generate the text, and it can be customized to generate different types of content, such as educational videos, product reviews, or vlogs.

This program helps to work with a computer. It can recognize voice commands, search files, calculate mathematical expressions, recognize mouse gestures to do something in easier way, and much more!

Create summaries automatically with Tactical Resoomer! Summaries Relevant and synthesized, for students or simply for curious people who want to get to the point of some topic

Question Generator System

A starting point for building custom LLM apps. Incorporates Ollama, Open WebUI, Langchain, Streamlit, Chroma, & PGVector using Docker and Docker Compose.

Identify flower from an image using CoreML. Also fetches description and image of identified flower from Wikipedia.

This Streamlit application serves as a comprehensive AI-powered research tool featuring three main modes: Research Assistant (fetching information from arXiv papers and Wikipedia), Document Q&A (allowing users to upload PDFs and ask questions about them using RAG), and Web Search (retrieving and summarizing web content)

This repo provides a comprehensive guide to mastering LangChain, covering everything from basic to advanced topics with practical code examples in Python. Whether you're working with chains, agents, or document loaders, this repository offers a complete learning experience