Updated app to run trained model

app.py

@@ -1,7 +1,19 @@
+from fastbook import *
+from fastai.vision.widgets import *
+from fastai.vision.all import *
+
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("model.pkl")
+categories = ("Cat", "Dog")
+
+def classify_img(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()
+examples = ["dog.jpg", "cat.jpg", "rock1.jpg", "rock2.jpg", "rocky.jpg"]
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)