Add ML model and example images

app.py

@@ -1,7 +1,24 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def label_func(x):
+  if "Raven" in x.parent.name:
+    return "raven"
+  else:
+    return "crow"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ("raven", "crow")
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+learn = load_learner("model.pkl")
+
+image = gr.inputs.Image(shape=(400, 400))
+label = gr.outputs.Label()
+
+examples = ["examples/crow.jpg", "examples/raven.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)