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Deploy model to hugging face spaces

app.py

@@ -1,7 +1,40 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'species', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app.ipynb 1
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% app.ipynb 3
+learn = load_learner('hummingbird_classifier_v3.pkl')
+
+# %% app.ipynb 5
+species = ('Adelomyia melanogenys', 'Aglaiocercus coelestis', 'Aglaiocercus kingii', 'Amazilia amabilis',
+        'Amazilia franciae', 'Amazilia rosenbergi', 'Amazilia saucerottei', 'Amazilia tzacatl',
+        'Androdon aequatorialis', 'Anthracothorax nigricollis', 'Boissonneaua flavescens', 
+        'Boissonneaua jardini', 'Chaetocercus heliodor', 'Chaetocercus mulsant', 'Chalybura buffonii',
+        'Chalybura urochrysia', 'Chlorostilbon gibsoni', 'Chlorostilbon melanorhynchus', 
+        'Chrysolampis mosquitus', 'Coeligena coeligena', 'Coeligena torquata', 'Colibri coruscans',
+        'Colibri delphinae', 'Colibri thalassinus', 'Discosura conversii', 'Doryfera ludovicae',
+        'Ensifera ensifera', 'Eriocnemis vestita', 'Eutoxeres aquila', 'Florisuga mellivora', 
+        'Glaucis hirsutus', 'Haplophaedia aureliae', 'Heliangelus exortis', 'Heliodoxa imperatrix',
+        'Heliodoxa jacula', 'Heliodoxa leadbeateri', 'Heliodoxa rubinoides', 'Heliomaster longirostris',
+        'Heliothryx barroti', 'Hylocharis eliciae', 'Klais guimeti', 'Lafresnaya lafresnayi',
+        'Lepidopyga coeruleogularis', 'Lepidopyga goudoti', 'Metallura tyrianthina', 'Ocreatus underwoodii',
+        'Phaethornis anthophilus', 'Phaethornis guy', 'Phaethornis longirostris', 'Phaethornis striigularis',
+        'Phaethornis syrmatophorus', 'Phaethornis yaruqui', 'Ramphomicron microrhynchum', 'Schistes geoffroyi',
+        'Threnetes ruckeri', 'Urochroa bougueri')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(species, map(float, probs)))
+
+# %% app.ipynb 7
+image = gr.components.Image(shape=(192, 192))
+label = gr.components.Label()
+examples = ['lead.webp', 'geo.jpg', 'delphinae.jpg', 'jardini.jpg', 'tzacatl.jfif', 'micro.jfif']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

hummingbird_classifier_v3.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bb1f61ff723e1d1dd4c43ad54a87d1ffb91a1ad02d984fbf1e9db38ab2fb0a52
+size 47133189