Add model

app.py

@@ -1,7 +1,17 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    d = dict(zip(learn.dls.vocab, map(float,probs)))
+    ds = sorted(d.items(), key=lambda item: item[1], reverse=True)
+    return dict(ds[0:5])
+
+image = gr.inputs.Image(shape=(244, 244))
+label = gr.outputs.Label()
+examples = ['dog1.jpg', 'dog2.jpg', 'dog3.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

testapp.py

@@ -0,0 +1,7 @@
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()