Add app.py, images and requirements

app.py

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+__all__ = ['learn', 'categories', 'examples', 'image', 'label', 'intf', 'classify_image']
+
+from fastai.vision.all import *
+import gradio as gr
+import timm
+
+# the get_y function
+def has_tori_logo_parent(o):
+    p = Path(o).parent.name
+    return p == 'tori-logo'
+
+learn = load_learner('tori-model.pkl')
+
+categories = ['Something else', 'Tori logo']
+
+def classify_image(img):
+    is_tori_logo, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+examples = [
+    'images/dog.jpeg', 
+    'images/cat.jpeg', 
+    'images/face.jpg', 
+    'images/profile-avatar.jpeg',
+    'images/tori-logo.png'    
+]
+
+image = gr.Image()
+label = gr.Label()
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

requirements.txt

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+fastai
+gradio
+timm
+torch
+torchvision