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.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+eggman.jpg filter=lfs diff=lfs merge=lfs -text
+sonic.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,30 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('model.pkl')
+
+categories = ('Sonic the Hedgehog', 'Doutor Eggman')
+examples = ['sonic.jpg', 'eggman.jpg']
+
+
+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 = "Sonic the Hedgehog and Doutor Eggman"
+description = "Classificador entre o Sonic e o Doutor Eggman"
+examples = ['sonic.jpg', 'eggman.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=2),
+             title=title,
+             description=description,
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:066c5050719a0569e40214e6ed84b75855bb1b03b73bdbe03f93a301897bace7
+size 87457561

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image