Duplicate from MFawad/Emergency_vehicle_classifier

Co-authored-by: Muhammad Fawad <MFawad@users.noreply.huggingface.co>

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README.md

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+---
+title: Emergency Vehicle Classifier
+emoji: 🏎🚔🚨🚓
+colorFrom: indigo
+colorTo: pink
+sdk: gradio
+sdk_version: 3.1.4
+app_file: app.py
+pinned: false
+license: other
+duplicated_from: MFawad/Emergency_vehicle_classifier
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import gradio as gr
+from fastai.vision.all import *
+learn=load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+title='Emergency Vehicle Classifier'
+interpretation='default'
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), title=title, interpretation=interpretation).launch(share=True)

export.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:682c1d39eeecb376a89a937dc2d0dd6a5eca1b4910ebf9ace71f58ea20565ef9
+size 46972257

requirements.txt

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+fastai
+scikit-image