add requirements

app.py

@@ -4,6 +4,8 @@ from torch import nn
 from PIL import Image
 from torchvision import transforms
 import numpy as np
+import gradio as gr
+
 
 def predict(img_path,model=None):
     if model is None:
@@ -27,10 +29,6 @@ def predict(img_path,model=None):
         
     return predict_dict
 
-
-import numpy as np
-import gradio as gr
-
 demo = gr.Interface(predict, gr.Image(), outputs=gr.Label(num_top_classes=3))
 if __name__ == "__main__":
     demo.launch()