Imported trained model + setup for Gradio UI

app.py

@@ -1,7 +1,26 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Import trained model
+learn = load_learner("model.pkl")
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Define an object with labels (keys) and tensors (values)
+categories = {"Cat", "Dog"}
+def classify_image(img):
+    pred,_,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# Build the Gradio interface
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ["examples/max.jpg", "examples/nymo.jpg"]
+    
+intf = gr.Interface(
+    fn=classify_image, 
+    inputs=image, 
+    outputs=label, 
+    examples=examples
+)
+
+# Start the server
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ec8dc96fafec2f360e9e0eaa60bbd8219a729bfd4a4b3dd1f20f0269438dca9e
+size 46952857