Added classifier model

app.py

@@ -1,7 +1,19 @@
+__all__ = ['learnafter', 'classify_images', 'categories', 'image', 'label', 'examples', 'iface']
+
 import gradio as gr
+from fastai.vision.all import *
+
+learnafter = load_learner('export.pkl')
+
+categories = ('cheetah','lion','tiger')
+
+def classify_images(img):
+  pred, idx, probs = learnafter.predict(img)
+  return dict(zip(categories, map(float, probs)))
 
-def greet(name):
-    return "Hello " + name + "!!"
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+examples = ['lion.jpg']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface = gr.Interface(fn=classify_images, inputs=image, outputs=label)
+iface.launch(inline=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:15f87cefc0b933318832ddc7b96cd10e055dc5d022621a01b4d02ca422a2e29a
+size 46970575

requirements.txt

@@ -0,0 +1 @@
+fastai==2.7.12