Add the code for app to use the model

app_1.py

@@ -0,0 +1,21 @@
+#using gradio for deployment:
+from fastai.vision.all import *
+import gradio as gr
+
+def is_bear(x): return x[0].isupper()
+
+learn = load_learner("model.pkl")
+
+categories = ("grizzly bears", "black bears", "teddy bears")
+
+#Since gradio doesnt recognize tensors, we are uasing map function:
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples =["black_teddy.jpg", "grizzly_bear.jpg", "black_bear.jpg"]
+
+intf = gr.Interface(fn=classify_image, inputs =image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fc0ccbe32699e262bd4c60b28e06b110918f9d265562ec941584c2172aa3c324
+size 46965629