flower

app.py

@@ -0,0 +1,37 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: flower.ipynb.
+
+# %% auto 0
+__all__ = ['temp', 'learn', 'categories', 'image', 'label', 'examples', 'intf', 'classify_image']
+
+# %% flower.ipynb 1
+#! pip install -Uqq fastai
+#! pip install -Uqq gradio
+
+# %% flower.ipynb 2
+! pip install -Uqq nbdev
+
+# %% flower.ipynb 3
+from fastai.vision.all import *
+import gradio as gr
+
+# %% flower.ipynb 4
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
+
+learn = load_learner('flower_export.pkl')
+
+# %% flower.ipynb 5
+categories = ('rose', 'sunflower', 'tulip')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# %% flower.ipynb 6
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['rose.jpg', 'sunflower.jpg', 'tulip.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

flower.py

@@ -1,7 +0,0 @@
-import gradio as gr
-
-def greet(name):
-    return "Hello " + name + "!!"
-
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()

flower_export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8921c029d78169901954fb995e1af7ee4a6c6dde3f055a0b605388ba1d4e36c2
+size 46971599