Bear classifier

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.vision.all import load_learner, PILImage
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+title = "Bear Classifier"
+description = "A prototype bear classifier developed with fastaiwith images from ddg. Created as a demo for Gradio and HuggingFace Spaces."
+examples = [r'examples/grizzly_bear.jpg']
+
+
+demo = gr.Interface(fn=predict, inputs="image", outputs="label")
+demo.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09864bc5b4e8cd2057c5c4f2159e0aca4fa6a88334c03f3423b6a3c1c734a1d1
+size 46967274