v0.1 of multiclass image classification

app.py

@@ -1,7 +1,17 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+categories = ['bird', 'cat', 'dog', 'forest']
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image(type="pil")
+label = gr.Label()
+
+interface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=['bird.jpg', 'cat.jpg', 'dog.jpg', 'forest.jpg'])
+
+interface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f97b3f29fabccc6c741956d2e63960ad3c972b8d665f53c872103b3c9dc920b
+size 46971262