deploy

app.py

@@ -1,7 +1,17 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('export.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+catagories = 'apple','barn owl','guacamole','parrot',
+
+def classify_img(img):
+    pred_class,pred_idx,probs = learn.predict(img)
+    return dict(zip(catagories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(256,256))
+label = gr.outputs.Label()
+examples = ['apple.png','owl.png','parrot.png','guacamole.png']
+
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(share = True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6c789dde10e144e3bfd2792c39db679dd02c4c12985873422f34f01a35d0507b
+size 46976421

my_first_space/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.0.1"

my_first_space/app.py

@@ -0,0 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: ..\app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'catagories', 'image', 'label', 'examples', 'intf', 'classify_img']
+
+# %% ..\app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+# %% ..\app.ipynb 5
+learn = load_learner('export.pkl')
+
+# %% ..\app.ipynb 7
+catagories = 'apple','barn owl','guacamole','parrot',
+
+def classify_img(img):
+    pred_class,pred_idx,probs = learn.predict(img)
+    return dict(zip(catagories, map(float,probs)))
+
+# %% ..\app.ipynb 9
+image = gr.inputs.Image(shape=(256,256))
+label = gr.outputs.Label()
+examples = ['apple.png','owl.png','parrot.png','guacamole.png']
+
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples=examples)
+intf.launch(share = True)