This project is an implementation of text summarization using the **bart-large-cnn model**. It leverages Hugging Face's Transformers library to load the pre-trained model for generating summaries from input texts. The project also includes a user-friendly web interface built with **Streamlit**, allowing users to input text and easily generate summa
AI-powered video transcription and summarization using Hugging Face’s BART and OpenAI Whisper. Fast, accurate, and organized outputs.
Flask webapp using a language model to create summaries of YouTube videos.
This project is about designing a Feedback Analysis by using various NLP Techniques which is commonly used in Recommendations System, and Chatbots.
Get a summary of OSF Preprints using the BART CNN
A full-stack text-summarization system built using FastAPI (backend), HuggingFace Transformers, and a Gradio UI for accessible interaction.
A Flask API for analyzing media files (video and audio) with various features including quality analysis, streaming readiness checks, and content analysis.
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