all

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
+
+def is_cat(x): return x[0].isupper()
+learn = load_learner('model.pkl')
+
+
+categories = ['Dog','Cat']
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories,map(float,probs)))
+
+
+img = gr.inputs.Image(shape=(50,50))
+label = gr.outputs.Label()
+examples = ["dog.jpg",'cat.jpg','others.jpg']
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface = gr.Interface(fn=classify_image, inputs=img, outputs=label,examples=examples)
 iface.launch()