added application file

app.py

@@ -0,0 +1,38 @@
+#!/usr/bin/env python
+# coding: utf-8
+
+get_ipython().system('pip install nbdev')
+get_ipython().system('pip install ipywidgets')
+
+get_ipython().system('pip install notebook2script')
+
+get_ipython().system('pip install -Uqq fastai')
+get_ipython().system('pip install gradio')
+
+get_ipython().system('pip install typing_extensions==4.7.1 --upgrade')
+
+#!export
+from fastai.vision.all import *
+from fastai.vision.widgets import *
+import gradio as gr
+
+#!export
+categories = ("black","grizzly", "teddy")
+def classify_image(img):
+    path = Path()
+    path.ls(file_exts='.pkl')
+    learn_inf = load_learner(path/'modlbear.pkl')
+    pred, idx, probs = learn_inf.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['black_bear.jpeg','grizzly_bear.jpeg', 'teddy_bear.jpeg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples,  title="Bear Classifier")
+intf.launch(inline=False, share=True)
+
+
+
+