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Video transcript summarization from multiple sources (YouTube, Instagram, TikTok, Twitter, Reddit, Facebook, Google Drive, Dropbox, and local files). Works with any OpenAI-compatible LLM provider (even locally hosted).
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.
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 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
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.
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.