add files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('model.pkl')
+
+searches = ['formal','casual','athletic']
+searches = sorted(searches) # need to be sorted because that's the order the predictions will be outputed
+values = [i for i in range(0,len(searches))]
+class_dict = dict(zip(searches,values))
+
+def classify(im):
+  classication,_,probs = learn.predict(im)
+  confidences = {label: float(probs[i]) for i, label in enumerate(class_dict)} 
+  return confidences
+
+intf = gr.Interface(fn=classify, inputs='image', outputs='label', 
+                    examples= [
+                        ["https://www.datocms-assets.com/39109/1637755546-monochrome.jpg"],
+                        ["https://live.staticflickr.com/4227/34761005741_917633fbb7.jpg"],
+                        ["https://cdn.cliqueinc.com/posts/290845/classic-outfits-290845-1639432804292-main.1200x0c.jpg"],
+                        ["https://www.refinery29.com/images/9193658.jpg"],
+                        ["https://i.pinimg.com/736x/ac/ce/3a/acce3a1aea6aff8550c1c70a5b629394--sporty-clothes-nike-clothes.jpg"],
+                        ],
+                    title = 'Outfit Type Classifier')
+intf.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:63ddbc594c37613da85e5272b3069a8a56af2426e70c04a3e2495ddaf276dfce
+size 46953241

requirements.txt

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+fastai==2.7.7