update app.py to our application code

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# determines if it's a cat from first letter
+def is_cat(x): return x[0].isupper() 
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# load the model 
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def predict(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# show it in a gradio interface
+examples = [ 'cat1.png', 'dog1.png', 'python1.png']
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(), examples=examples).launch()

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image