Upload 4 files

.gitattributes

@@ -32,3 +32,4 @@ 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
+edvard_munch.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,26 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: app.ipynb.
+
+# %% auto 0
+__all__ = ['learn_inf', 'categories', 'image', 'label', 'examples', 'intf', 'classify_images']
+
+# %% app.ipynb 23
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# %% app.ipynb 25
+learn_inf = load_learner('model.pkl')
+
+# %% app.ipynb 28
+categories = ('edvard_munch', 'vincent_van_gogh')
+
+def classify_images(img):
+    pred, idx,probs = learn_inf.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# %% app.ipynb 30
+image = gr.inputs.Image(shape=(256,256))
+label = gr.outputs.Label()
+examples = ['vincent_van_gogh.jpg', 'edvard_munch.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn= classify_images, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:12a1c5472ef4f49d72259c5a66a21bd17f96ff66cb3f66858ce44046f1a4845f
+size 46964193