add model file and new gradio code

_orig_app.py

@@ -0,0 +1,8 @@
+import fastai.vision.all import *
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch(share=True)

app.py

@@ -1,7 +1,28 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: BearClassifierGradio.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% BearClassifierGradio.ipynb 3
+# importing dependencies
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% BearClassifierGradio.ipynb 4
+# creating inference
+learn = load_learner('model.pkl')
+
+# %% BearClassifierGradio.ipynb 5
+categories = ('Black', 'Grizzly', 'Teddy')
+
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+# %% BearClassifierGradio.ipynb 6
+# gradio interface Setup
+image = gr.Image()
+label = gr.Label()
+examples = ['sample1.jpg', 'sample2.jpg', 'sample3.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch(share=True)
+intf = gr.Interface(fn = classify_image, inputs = image, outputs = label, examples = examples).launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0e91f26108afdc5c460aa3ed3396c909ce7005fae6bcf4de8b84b44fd3897fd8
+size 46970538