Detect bears

.gitignore

@@ -0,0 +1 @@
+bears_model.pkl

app.py

@@ -1,7 +1,20 @@
+from fastai.vision.all import *
 import gradio as gr
+from huggingface_hub import from_pretrained_fastai
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = from_pretrained_fastai("marcmaniez/bears")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# learn = load_learner('bears_model.pkl')
+
+categories = ('grizzly', 'black', 'teddy')
+
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+img = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['grizzly.jpg', 'brown.jpg', 'teddy.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

compress.py

@@ -0,0 +1,6 @@
+import bz2file as bz2
+from fastai.vision.all import *
+from huggingface_hub import push_to_hub_fastai
+
+learn = load_learner('bears_model.pkl')
+push_to_hub_fastai(learner=learn, repo_id="marcmaniez/bears")