simple bear classifier

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+export.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% app.ipynb 2
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% app.ipynb 6
+learn = load_learner('export.pkl')
+
+# %% app.ipynb 8
+categories = ('Black Bear', 'Grizzly Bear', 'Teddy Bear')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% app.ipynb 10
+image = gr.components.Image(width=192, height=192)
+label = gr.components.Label()
+examples = ['black.jpg', 'grizzly.jpg', 'teddy.jpg']
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:900becfe7a57c44636ebb8c26942b9cb17c22586f59ceff8deea216f6a4ce0d0
+size 46974590