Add application file

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from fastai.vision.all import *
+import timm.models.convnext
+import pathlib
+
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+learn = load_learner('Dog-Classification/pets_model.pkl')
+
+def classify_image(img):
+    categories = learn.dls.vocab
+    pred, idx, prob = learn.predict(tensor(img))
+    d = [(v, k) for k, v in dict(zip(categories, map(float, prob))).items()]
+    return f'{max(d)[1]}: {max(d)[0]:.04f}'
+
+iface = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(type="pil"), outputs="text")
+iface.launch()