Deploy to Hugging Face

app.py

@@ -0,0 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: Deployment.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'inf', 'get_y', 'classify_images']
+
+# %% Deployment.ipynb 2
+from fastai.vision.all import *
+import gradio as gr
+
+def get_y(path):
+    return parent_label(path).split(' and ')
+
+# %% Deployment.ipynb 3
+learn = load_learner('export.pkl')
+
+# %% Deployment.ipynb 8
+categories = learn.dls.vocab
+def classify_images(img):
+    """classifies images and returns the probabilities on each categories."""
+    pred, pred_idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% Deployment.ipynb 10
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+# If you have more or less examples, edit this list.
+examples = ['apple.jpg', 'orange.jpg', 'pear.jpg', 'apple and orange.jpg', 
+            'pear and orange.jpg', 'apple and pear.jpg', 'apple and pear and orange.jpg',
+            'random images.jpg']
+
+inf = gr.Interface(fn=classify_images, inputs=image, outputs=label, examples=examples)
+inf.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06605e95bcb706a65b252f6af93629c61c1691919303fd5997a344fb1a9de8bf
+size 46984683