Create app.py

app.py

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+from fastai.vision.all import *
+from fastai.vision.widgets import *
+import gradio as gr
+
+class Hook():
+  def hook_func(self, m, i, o): self.stored = o.detach().clone()
+
+learn_inf = load_learner("resnet152_fit_one_cycle_freeze_91acc.pkl", cpu=True)
+
+categories = ('arbanasi', 'filibe', 'gjirokoster', 'iskodra', 'kula', 'kuzguncuk', 'larissa_ampelakia', 'mardin', 'ohrid', 'pristina', 'safranbolu', 'selanik', 'sozopol_suzebolu', 'tiran', 'varna')
+def classify_img(img):
+  pred,idx,probs=learn_inf.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+image=gr.inputs.Image(shape=(128,128))
+label=gr.outputs.Label()
+examples=["train_val_cropped/train/filibe/filibe-1-1.jpg",
+          "train_val_cropped/train/ohrid/ohrid-3-1.jpg",
+          "train_val_cropped/train/varna/varna-1-1.jpg"]
+
+intf=gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)