Add app file

app.py

@@ -4,15 +4,22 @@ import gradio as gr
 
 learn = load_learner('model.pkl')
 
-categories = ('wet','tawny','horned')
+#categories = ('wet','tawny','horned')
 
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
+#def classify_image(img):
+#    pred,idx,probs = learn.predict(img)
+#    return dict(zip(categories, map(float,probs)))
+
+#image = gr.inputs.Image(shape=(224,224))
+#label = gr.outputs.label()
+#examples = ['harpy.jpg','horned.jpg']
+
+#iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+def greet(name):
+    return "Hello " + name + "!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
 
-image = gr.inputs.Image(shape=(224,224))
-label = gr.outputs.label()
-examples = ['harpy.jpg','horned.jpg']
 
-iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 iface.launch()