Woodpecker App

app.py

@@ -1,7 +1,37 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner("../../lecture2/model_lec2.pkl")
+
+brd_category = (
+    "Black Woodpecker", 
+    "Eurasian Three-Toed Woodpecker",
+    "Great Spotted Woodpecker",
+    "Green Woodpecker",
+    "Grey-Headed Woodpecker",
+    "Lesser Spotted Woodpecker",
+    "Middle Spotted Woodpecker",
+    "White-Backed Woodpecker",
+    )
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(brd_category, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = [
+    "blk_woodpeck.jpg",
+    "grt_spot_woodpeck.jpg",
+    "eur_woodpeck.jpg",
+    ]
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)