Attempt #1

app.py

@@ -1,7 +1,33 @@
+# import gradio as gr
+#
+# def greet(name):
+#     return "Hello " + name + "!!"
+#
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
+# Cell
+from fastai.vision.all import *
 import gradio as gr
+import timm
+import dill
+
+# Cell
+learn = load_learner('catan-model.pkl', pickle_module=dill)
+
+# Cell
+categories = learn.dls.vocab
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
 
-def greet(name):
-    return "Hello " + name + "!!"
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['board-game-catan-IMG_4671.jpg', 'photo-of-macbook-catan-IMG_4817.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Cell
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

requirements.txt

@@ -0,0 +1,4 @@
+torch
+fastai>2.6.1
+timm
+dill