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.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+cat.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn', 'categories', 'image', 'label', 'examples', 'intf', 'is_cat', 'classify_image']
+
+# %% app.ipynb 1
+from fastai.vision.all import *
+import gradio as gr
+
+def is_cat(x): return x[0].isupper()
+
+# %% app.ipynb 8
+learn = load_learner('model.pkl')
+
+# %% app.ipynb 10
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% app.ipynb 12
+#image = gr.Image(shape=(192, 192))
+image = gr.Image(image_mode='RGB')  # 不再使用 shape 參數
+label = gr.Label()
+examples = ['dog.jpg', 'cat.jpg', 'dunno.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples
+                    ,allow_flagging="never"
+                    #預設會有Flag的功能，若要取消則要加入上述。
+                   )
+intf.launch(inline=False)