Creation

app.py

@@ -1,7 +1,17 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load learner('veicle_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('Car', 'Bicycle', 'Truck lorry')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+exaples = ['car1.jpg', 'car2.jpg', 'bicycle1.jpg', 'bicycle2.jpg', 'truck1.jpg', 'truck2.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.lounch(inline=False)

veicle_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:154c532dd0f871b0a733baa7d3727cfd1da724a0d3242453d9750fe735967c65
+size 46965926