app.py

import cv2, torch 
import gradio as gr
import numpy as np 
import torchvision.models as models 
from torchvision import transforms as T

new_model = models.resnet18()
num_ftrs = new_model.fc.in_features 
new_model.fc = nn.Linear(num_ftrs, 75)
checkpoint = torch.load('model_best_checkpoint.pth.tar')
new_model.load_state_dict(checkpoint['model'])
new_model.to(device)