app

app.py

@@ -1,7 +1,24 @@
+from fastai.vision.widgets import *
+from fastcore.all import *
+from fastbook import *
+from fastai.vision.widgets import *
+import fastbook
 import gradio as gr
+fastbook.setup_book()
+from fastai import *
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('car_model.pkl')
+
+cat = ('sedan', 'suv')
+
+def classify_image(img):
+    pred,idx,probs= learn.predict(img)
+    return dict(zip(cat, map(float, probs)))
+
+image = gr.inputs.Image(shape=(200,200))
+label = gr.components.Label()
+example = ['sedan.jpg','suv.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example)
+intf.launch(inline=False)