added details

app.py

@@ -1,7 +1,21 @@
 import gradio as gr
+import fastai
+from fastai.vision.all import *
 
-def greet (name):
-    return 'hi {name}'
+learn=load_learner('export.pkl')
+
+categories=('not psilocybe','psilocybe')
+
+def classify(img):
+    pred,idx,probs=learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+
+image = gr.inputs.Image(shape = (192,192))
+label= gr.outputs.Label()
+examples=['psilocybe.jpg']
+intf=gr.Interface(fn=classify,inputs=image,outputs=label,example=examples)
+intf.launch(inline=False)
 
 iface=gr.Interface(fn=greet,inputs="text",outputs="text")