Update app.py

app.py

@@ -1,14 +1,5 @@
 import gradio as gr
 import pandas as pd
-def recognize(img):
-  img1=img.resize((224,224))
-  img_norm = transform_norm(img1)
-  output = model(img_norm[None,])
-  out=output.argmax(dim=-1).item()
-  out1=(df.iloc[out,0])
-  return out1
-demo = gr.Interface(fn=recognize, inputs='pil',outputs='text',examples= [['Banana.jpg']])
-demo.launch()#debug=True)
 import torch
 from PIL import Image
 from torchvision import transforms
@@ -22,7 +13,6 @@ transform_list = [
 transforms.Resize(int((256 / 224) * input_size), interpolation=InterpolationMode.BICUBIC),
 transforms.CenterCrop(input_size)
 ]
-#transform_vis = transforms.Compose(transform_list)
 transform_norm = transforms.Compose(transform_list + [
 transforms.ToTensor(),
 transforms.Normalize(IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD),