add initial app.py

app.py

@@ -0,0 +1,23 @@
+import torch
+import timm
+import gradio as gr
+
+"""
+from ViT.ViT_new import vit_base_patch16_224 as vit
+
+model = vit(pretrained=True).cuda()
+model.eval()
+model_finetuned = vit().cuda()
+checkpoint = torch.load('ar_base.tar')
+model_finetuned.load_state_dict(checkpoint['state_dict'])
+model_finetuned.eval()
+
+iface_orig = gr.Interface(
+)
+"""
+
+def image_classifier(inp):
+    pass # image classifier model defined here
+
+demo = gr.Interface(image_classifier, "image", "label")
+demo.launch(share=True)