Add application file

app.py

@@ -0,0 +1,18 @@
+
+from fastai.vision.all import *
+import gradio as gr
+
+
+learn = load_learner('model.pkl')
+categories = ('granite', 'diorite', 'andacite', 'komatiites', 'gabbro')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(250,250))
+label = gr.outputs.Label()
+examples = ['granite_test.jpg', 'komitiites_test.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)