New interface with images

app.py

@@ -1,7 +1,20 @@
+
+__all__ = ['learn','classify_image','categories','image','label','examples','intf']
+
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+
+categories = ('Car', 'Bike')
+def classify_image(img):
+    is_car,_,probs = learn.predict(PILImage.create(img))
+    return dict(zip(categories, map(float,probs))) #gradio only supports floats and it doesn't handle PyTorch tensors
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['volkswagen.jpg','motorbike.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()