'first'

.gitattributes

@@ -29,3 +29,4 @@ 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
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,26 @@
+from fastai.vision.all import *
+import gradio as gr
+import pathlib, os
+
+# def greet(name):
+#     return "Hello " + name + "!!!!"
+
+def is_cat(x): return x[0].isupper()
+
+categories = ['Dog', 'Cat']
+
+def classify_image(img):
+
+    if os.name == 'nt': # workaround for Windows
+        pathlib.PosixPath = pathlib.WindowsPath 
+
+    learn = load_learner('model_cat-or-dog.pkl')
+    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 = ['img_20180720_163054.jpg', 'img_20210614_141029.jpg', 'img_20210614_140945.jpg', 'img_20210613_193627.jpg', 'img_20210613_184022.jpg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch()

model_cat-or-dog.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c67157ee0a0a42cb951bfe9d93f989f628ad2cbbe1038c1a9b29897559083eb
+size 47061419