commit3

app.py

@@ -1,7 +1,18 @@
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Good job " + name + "!! :))"
+learn = load_learner('model.pkl')
+
+categories = ('Fat' , 'Skinny')
+
+def classify_image(img):
+  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 = ['fat.jfif', 'fat1.jfif', 'skinny.jfif', 'skinny1.jfif']
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)