Upload folder using huggingface_hub

Updated README, and Load token using environ

fix app.py path for HF

Update readme fix typo

Update readme

READ merge conflict resolve

Demo file updated

first commit

initial commit

initial commit

Update README.md

Update README.md

Update README.md

Update ReadMe: with learning

Remove Prediction Gurad - in progress

Video Captionaing and Frame Generation

Add utility files that helps in downloading videos, extracting webvvt, and other video and caption related helper methods

Plot shows, however, I am not certain if it is showing the right data. The main confusion is that to see vector data of 512 dimenstion, you need to reduce it to 2 dimension on a scaler plot. The function given here does not work. First np.concatenate does not like lists that has embeddings and has grad init. It want me to detach numpy. The second problem is with MinMaxScaler method that has issue with dimention, it expects 2, but one is given. Not very clear on this

Add an optional file to show multiple ways to use BridgeTower

Remove Prediction Guard and correct the code so model can return 512 vector

Remove PredictionGuard and use Transform to download model

Update ReadMe: Understand Vector DB

Update Readme with chatGPT recommended text

Update Readme: Learn how to prepare data (image, text, video) for multimodel, without getting much into ML

Update Readme: Finish Basic use of Gradio

Add Basic components with GR Blocks, GR Chat Interface

First Demo with Gradio