Utility scripts for editing or modifying onnx models. Utility scripts to summarize onnx model files along with visualization for loop operator body.

Octopus is a neural machine generation toolkit for Arabic Natural Lnagauge Generation (NLG)

A telegram bot interface for Yandex Summarize GPT 300 API https://300.ya.ru/

A Streamlit app that classifies articles with URL or Text input into categories (e.g., politics, sports, technology, entertainment) and analyzes their tone (negative, positive, or neutral) using ChatGPT-Turbo API. In addition, the app summarizes the news article into different sections.

KAKAO Developers API 이용하여 뉴스요약 전송, 졸음 인식 전송

This project is a Python script that records system audio on macOS using BlackHole, transcribes the audio using OpenAI's Whisper API, and summarizes the transcription using OpenAI's GPT models

A Telegram bot that can summarize content from link.

A new package is designed to analyze and summarize technical articles or announcements by extracting structured key information from user-provided text. It leverages language models to identify and or

Summarize text with ChatGPT.

GUI PyQt 사용하여 자동화 시스템

Summarize YouTube videos using LLMs.

AI-powered Legal Document Review System to automate the process of reviewing legal documents.

Summarize text with fine-tuned models using pytorch serve.

Summarize your meetings with the power of Recall AI.

App that takes a YouTube video URL, extracts its transcript, and generates a consolidated summary using LangChain’s Map-Reduce strategy and Groq’s Llama model.

discord bot for summarizing discord channel messages using gemini model

🎙️ Transcribe meetings and generate minutes with high accuracy, all locally and securely, using advanced Japanese language models.

This is a program that crawls and summarizes hacker news.

A simple podcasts player/viewer being developed using python. The goal is to have a modern yet simple podcasts functionality. Should retrive RSS based on xml, save them, play audio, display description, audio transcript, transcript summary, display image from show/episode, and display a wordcloud based on transcript to give a quick idea.

Use LLM to describe a difference graph between versions of a compositional document (DOT graph).