classifier

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from fastai.vision.all impor *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learner = load_learner('model.pkl')
+
+categories = ('frontal crash, rollover crash')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return zip(categories,map(float,probs))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['frontal.jpg','rollover.jpg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
+iface.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff28ea53438d3d8bcb907334c9225e1491f797aeda01b5e9180b231ea8b34de3
+size 102887011