Add application file

classify_app.py

@@ -0,0 +1,17 @@
+from fastai.data.all import *
+from fastai.vision.all import *
+from fastcore.all import *
+import gradio as gr
+
+def label_func(fname):
+    return "cat" if fname.name[0].isupper() else "dog"
+
+learn=load_learner('/content/drive/MyDrive/model.plk')
+
+categories=('Dog','Cat')
+def classify_image(img):
+  pred,idx,prob=learn.predict(img)
+  return dict(zip(categories,map(float,prob)))
+
+intf=gr.Interface(fn=classify_image,inputs=gr.inputs.Image(shape=(225,225)),outputs=gr.outputs.Label())
+intf.launch(inline=False)