please work

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model[[:space:]](1).pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -1,7 +1,20 @@
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+from fastbook import *
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+
+learn = load_learner('/content/model (1).pkl')
+
+def predict(img):
+  categories = learn.dls.vocab
+  img = PILImage.create(img)
+  category, idx, likelyhoods = learn.predict(img)
+
+  return dict(zip(categories, map(float, likelyhoods)))
+
+img = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+
+
+intf = gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=label).launch()