Gadget classification using pretrained RESNET-50 and Pytorch deployed using Gradio and Hosted on Huggingface.

2.Created a Gadget Classification project which classifies the gadgets images as Laptop, Mobile and Headphones.
3.Demo (https://huggingface.co/spaces/ishaal007/gadgets_classifier)
4.Dataset: Own dataset used (Uploaded on Github)
5.Use app.py for gradio deployment
6.model.py is an inference pipeline for the saved model
7.use your pretrained model in app.py
8.For more details visit demo