bear time

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zstandard filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore.txt

@@ -0,0 +1 @@
+./.git

app.py

@@ -1,7 +1,47 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+# In[1]:
+
+
+#|default_exp app
+
+
+# ## **Which bear is it?**
+
+# In[ ]:
+
+
+#|export
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn = greet, inputs = "text", outputs = "text")
-iface.launch()
+# In[ ]:
+
+
+#|export
+learn = load_learner('export.pkl')
+
+
+# In[ ]:
+
+
+#|export
+categories = ('black', 'grizzly', 'teddy')
+
+def classify_image(img):
+    pred, idx, prob = learn.predict(img)
+    return dict(zip(categories, map(float, prob)))
+
+
+# In[ ]:
+
+
+#|export
+inputs = gr.Image(shape = (224, 224))
+outputs = gr.Label()
+examples = ['./black_bear.jpg', './grizzly_bear.jpg', './teddy_bear.jpg']
+
+intf = gr.Interface(inputs = inputs, outputs = outputs, fn = classify_image, examples = examples)
+intf.launch(inline = False, share = True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c76f2d955ecffdeeac0fbf04bf3b49c912c787be23ac60a07e1cd21707d06d35
+size 46971873