Merge pull request #26 from AK391/master

migrating gradio hub demo to huggingface spaces
wilson1yan · Oct 21, 2021 · c230bc3 · c230bc3
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diff --git a/README.md b/README.md
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 # VideoGPT: Video Generation using VQ-VAE and Transformers
 
 [[Paper]](https://arxiv.org/abs/2104.10157)[[Website]](https://wilson1yan.github.io/videogpt/index.html)[[Colab]](https://colab.research.google.com/github/wilson1yan/VideoGPT/blob/master/notebooks/Using_VideoGPT.ipynb)
+Integrated to [Huggingface Spaces](https://huggingface.co/spaces) with [Gradio](https://github.com/gradio-app/gradio). See demo: [![Hugging Face Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Spaces-blue)](https://huggingface.co/spaces/akhaliq/VideoGPT)
 
 We present VideoGPT: a conceptually simple architecture for scaling likelihood based generative modeling to natural videos. VideoGPT uses VQ-VAE that learns downsampled discrete latent representations of a raw video by employing 3D convolutions and axial self-attention. A simple GPT-like architecture is then used to autoregressively model the discrete latents using spatio-temporal position encodings. Despite the simplicity in formulation and ease of training, our architecture is able to generate samples competitive with state-of-the-art GAN models for video generation on the BAIR Robot dataset, and generate high fidelity natural images from UCF-101 and Tumbler GIF Dataset (TGIF). We hope our proposed architecture serves as a reproducible reference for a minimalistic implementation of transformer based video generation models.
 

diff --git a/gradio/bear.mp4 b/gradio/bear.mp4
diff --git a/gradio/breakdance.mp4 b/gradio/breakdance.mp4
diff --git a/gradio/demo.py b/gradio/demo.py