updated

app.py

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+from fastai.vision.all import load_learner
+# import pathlib 
+# temp=pathlib.PosixPath
+# pathlib.PosixPath=pathlib.WindowsPath
+
+import gradio as gr
+traffic_sign_labels=(
+"Regulatory Signs",
+"Warning Signs",
+"Informational Signs",
+"Construction Signs",
+"School Zone Signs",
+"Regulatory Signs for Bicycles",
+"Railroad Signs",
+"Pedestrian Signs",
+"Motorway Signs",
+"Speed Limit Signs",
+"Priority Signs",
+"Lane Control Signs",
+"Destination Signs",
+"Roundabout Signs",
+"Parking Signs",
+"Hospital Signs",
+"Tourist Information Signs",
+"No Left Turn Signs",
+"No Right Turn Signs",
+"No Passing Zone Signs",
+"Road Narrows Signs",
+"Yield Signs",
+"Low Clearance Signs",
+"Traffic Signal Ahead Signs",
+"Detour Signs"
+  )
+model = load_learner("models/traffic_sign-recognizer5-v4.pkl")
+
+def recognize_image(image):
+   pred, idx, probs = model.predict(image)
+   return dict(zip(traffic_sign_labels, map(float, probs)))
+
+#!export
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label(num_top_classes=5)
+examples = [
+    'test_images/download (2).png',
+    'test_images/download (3).jpg',
+    'test_images/download.png',
+    'test_images/download (4).jpg'
+    ]
+
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=True)

models/traffic_dataloader5_v4.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:535aa9f7492fd6f06059e304c35b39a70799e2f65a350775a52384c17b77ecf2
+size 865412

requirements.txt

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+fastai==2.7.12
+gradio==3.39.0