app created

app.py

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+
+from fastai.vision.all import *
+import gradio as gr
+
+# import pathlib
+# temp = pathlib.PosixPath
+# pathlib.PosixPath = pathlib.WindowsPath
+
+model = load_learner('models/cap-recognizer-v1.pkl')
+
+#!export
+cap_labels = model.dls.vocab
+def recognize_image(image):
+  pred, idx, probs = model.predict(image)
+  return dict(zip(cap_labels, map(float, probs)))
+
+
+
+examples = [
+    'test_images/CowboyHat.jpg',
+    'test_images/beanie cap.jpg',
+    'test_images/taqiyah cap.jpg',
+    'test_images/boater hat.jpg'
+    ]
+
+iface = gr.Interface(fn=recognize_image, inputs="image", outputs="label", examples=examples)
+iface.launch(inline=False)

models/cap-recognizer-v1.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fa427650523fa0f609b2f3f371194d78c1db78d4abeac9f93c6e151543d2073f
+size 87657634