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.gitattributes

@@ -33,3 +33,5 @@ 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
+GOPR0915.JPG filter=lfs diff=lfs merge=lfs -text
+IMG_5618.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,21 @@
+__all__ = ['is_cat', 'learn', 'classify_image', 'categories', 'image', 'label', 'example', 'intf']
+
+
 import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x):
+    return x[0].isupper()
+
+learn = load_learner('export.pkl')
+categories = ('Indian', 'Russian')
 
-def greet(name):
-    return "Hello " + name + "!!"
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['GOPRO0915.jpg', 'IMG_5618.jpg', 'russian-mail.jpg']
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:285e3e4907ce5fc3eeab83aad64ede5311f202fbea1fd0013501b48f0f12e35c
+size 46965965