Add predict

app.py

@@ -1,19 +1,19 @@
-# import gradio as gr
-# from fastai.vision.all import *
-# learn = load_learner(" dogIdentifier.pkl")
-# labels = learn.dls.vocab
-# 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))}
+import gradio as gr
+from fastai.vision.all import *
+learn = load_learner(" dogIdentifier.pkl")
+labels = learn.dls.vocab
+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))}
 
-# iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
-# iface.launch()
+iface = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3))
+iface.launch()
 
-import gradio as gr
+# import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+# def greet(name):
+#     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()