add files

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from fastai.vision.all import *
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+title = "Pet Breed Classifier"
+description = "A pet breed classifier trained on the Oxford Pets dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
+article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+examples = ['siamese.jpg']
+interpretation = 'default'
+enable_queue = True
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="filepath"),
+    outputs=gr.Label(num_top_classes=3)
+).launch(share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dea06a82cd0c7cec1c609e9b7d7208129af69e54205239c6e6c656d975fd0431
+size 87560109