fast ai dog cat classifier

fast ai dog cat classifier - 1st commit

app.py

@@ -1,7 +1,17 @@
+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()
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
+
+input = gr.inputs.Image(shape=(512, 512))    
+output = gr.outputs.Label(num_top_classes=3)
+
+gr.Interface(fn=predict, inputs=input, outputs=output).launch(share=True)