go

app.py

@@ -1,9 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
 
 
-def greet(name):
-    return "Hello " + name + "MFFFF!!"
+def is_cat(x):
+    return x[0].isupper()
 
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+learner = load_learner("model.pkl")
+
+categories = ("Dog", "Cat")
+
+
+def classify_image(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.Image(height=192, width=192)
+label = gr.Label()
+# exam
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch()