added model and example images

app.py

@@ -1,7 +1,21 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+
+categories = ['Dog', 'Cat']
+
+def classify_image(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(224,224))
+label = gr.outputs.Label()
+examples = ['cat.jpg', 'dog.jpg', 'dunno.jpg']
+
+
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fe5c9bec8a71bcd073b41944c7ed3fd17f86981cd3a5185bb02cc20de7ab26a3
+size 47061419