chess or not

app.py

@@ -1,8 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+learn = load_learner('model.pkl')
+
+
+categories = ('chess', 'checkers')
+
 
+def classify_image(image):
+    pred, idx, probs = learn.predict(image)
+    return dict<(zip(categories, map(float, probs)))
+
+
+examples = ['chess.jpg', 'checkers.webp', "dono.jpg"]
+demo = gr.Interface(fn=classify_image, inputs="image", outputs="text", examples=examples)
+demo.launch()