model, interface, examples added

README.md

@@ -10,4 +10,8 @@ pinned: false
 license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference <br>
+
+HuggingFace Spaces App URL: https://huggingface.co/spaces/sheikhDeep/car-recognizer
+
+Gradio App URL: https://d4b0997d-695f-4d75.gradio.live/

app.py

@@ -1,7 +1,44 @@
+from fastai.vision.all import load_learner
 import gradio as gr
 
+
+car_labels = [
+   'Bus',
+   'Convertible',
+   'Hatchback', 
+   'Limousine', 
+   'Micro', 
+   'Minivan', 
+   'Muscle car', 
+   'Sedan', 
+   'Sports car', 
+   'SUV', 
+   'Truck'
+]
+
+model = load_learner('models/car-recognizer-v0.pkl')
+
+
+def recognize_image(image):
+  pred, idx, probs = model.predict(image)
+  return dict(zip(car_labels, map(float, probs)))
+
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = [
+    'test_images/00.jpg',
+    'test_images/bus.jpg',
+    'test_images/minivan.jpg',
+    'test_images/musclecar.jpg',
+    'test_images/sedan.jpg',
+    'test_images/sports.jpg',
+    'test_images/suv.jpg',
+    'test_images/truck.jpg'
+]
+
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
 iface.launch()

models/car-recognizer-v0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:009f7ef2ca935530d1f20aa86b5591e92f3a2d1dcc8f43fac74ba72178eabbae
+size 102940301