added the dog_breeds model

app.py

@@ -1,7 +1,17 @@
 import gradio as gr
+from fastai.visiall.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('dog_breeds_model.pkl')
+
+categories = ['Golden Retriever', 'Labrador Retriever', 'French bulldog', 'Beagle', 'German shepherd dog', 'Poodle', 'Bulldog']
+
+def classify_image(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()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()