try_vision

app.py

@@ -1,7 +1,20 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+learn.predict(im)
+
+categories = ('Dog', 'Cat')
+
+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 = ['dog.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label,examples=examples)
+intf.launch(share=True, inline=False)