Apply model

app.py

@@ -0,0 +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))}
+
+# 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
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()