init: First ever vision project

.gitignore

@@ -0,0 +1,3 @@
+models/create.ipynb
+images
+classify.ipynb

README.md

@@ -5,10 +5,10 @@ colorFrom: purple
 colorTo: indigo
 sdk: gradio
 sdk_version: 5.8.0
-app_file: app.py
+app_file: classify.py
 pinned: false
 license: apache-2.0
-short_description: Classfies car brands with image
+short_description: Classfies car brands with image using fast.ai
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

classify.py

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+# AUTOGENERATED! DO NOT EDIT! File to edit: classify.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'image', 'label', 'examples', 'intf', 'classify_car']
+
+# %% classify.ipynb 1
+from fastbook import *
+import gradio as gr
+
+# %% classify.ipynb 3
+learn=load_learner('models/car_classifier.pkl')
+
+# %% classify.ipynb 5
+def classify_car(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    
+    return {learn.dls.vocab[i]: probs[i].item() for i in range(len(learn.dls.vocab))}
+
+# %% classify.ipynb 6
+image=gr.components.Image()
+label=gr.components.Label()
+examples=[['examples/example_0.png'], ['examples/example_1.png'], ['examples/example_2.png']]
+intf=gr.Interface(fn=classify_car, inputs=image, outputs=label, examples=examples).launch()
+intf.inline=True