---
title: PyTorch Lightning
emoji: 🚀
colorFrom: blue
colorTo: blue
sdk: gradio
sdk_version: 3.39.0
app_file: app.py
pinned: false
license: mit
---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference


# Demo with Gradio Iterface for visualizing the GradCAM images of CIFAR10 Dataset using Custom Resnet trained on Pytorch Lightning

## Two Demos are created using tabbedinterface

## Demo 1 - Inference and GradCAM images



### Input

1.Whether he/she wants to see GradCAM images

2.How many images and from which layer

3.Customize the opacity level of the images displayed

4.How many top classes are to be shown (max 10)

### Output

Specified GradCAM images displayed with top predicted classes 

## Demo 2 - Misclassified Images

### Input

How many misclassified images the user wants to visualize (max 10)


### Output

Specified number of misclassified images are displayed with actual and predicted classes

#### Additionally the app allow users to upload new images
#### 10 example images are also provided to the user to try the app

## Github Link

https://github.com/RashiTech/ERA-V1/tree/main/S12