added files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+# import pathlib
+# temp = pathlib.PosixPath
+# pathlib.PosixPath = pathlib.WindowsPath
+
+vehicle_labels = (
+    "Airplane",
+    "Ambulance",
+    "Armored Tank",
+    "ATV",
+    "Autorickshaw",
+    "Bicycle",
+    "Boat",
+    "Buggy",
+    "Bulldozer",
+    "Cargo Ship",
+    "Cargo Truck",
+    "Crane",
+    "Excavator",
+    "Ferry",
+    "Helicopter",
+    "Hot Air Baloon",
+    "Microbus",
+    "Monster Truck",
+    "Motorcycle",
+    "Multi Purpose Vehicle",
+    "Ocean Liner",
+    "Police Car",
+    "Private Car",
+    "Rickshaw",
+    "Sail Boat",
+    "Semi Truck",
+    "Sports Car",
+    "Steam Roller",
+    "SUV",
+    "Transport Bus",
+    "Train",
+    "Truck",
+    "Yacht"
+)
+
+model = load_learner('vehicle-recognizer-v1.pkl')
+
+def recognize_image(image):
+    pred, idx, probs = model.predict(image)
+    return dict(zip(vehicle_labels, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label(num_top_classes=5)
+examples = [
+    'unknown00.png',
+    'unknown01.png',
+    'unknown02.png',
+    'unknown03.png'
+    ]
+
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)