application file added

app.py

@@ -0,0 +1,26 @@
+
+__all__ = ['is_cat', 'learn', 'categories', 'classify_image', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
+import gradio as gr
+
+# learner refers to this function
+def is_cat(x): return x[0].isupper()
+
+# the model we trained for cat vs dog classification
+learn = load_learner('model.pkl')
+
+# function to be used in gradio interface
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+   pred, idx, probs = learn.predict(img)
+   return dict(zip(categories, map(float, probs)))
+
+# gradio interface
+image = gr.inputs.Image(shape(192,192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+
+intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples=examples)
+intf.launch(inline=False)