ADD app.py and pickled model

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+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 = "Glock 9mm Classifier for Meatheads"
+description = "Model to Predict Glock 9mm Model Type from Images. Based on Resnet 152 using fast.ai."
+article="<p style='text-align: center'><a href='https://us.glock.com/en/pistols' target='_blank'>Glock Product Page</a></p>"
+examples = ['glock17.jpg','glock19.jpg','glock26.jpg']
+interpretation='default'
+enable_queue=True
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d8024f23ab15a5b3733e84998e48dcb0207a66ea7a658407b0f4dacfb009d8f
+size 242084507