Add application file

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn_inf = load_learner('DogCat.pkl')
+labels = learn_inf.dls.vocab
+
+labels = ['Cat', 'Dog']
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+title = "Is this image a cat?"
+iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512,512)), outputs=gr.outputs.Label(num_top_classes=2), title=title)
+iface.launch()