Try this

app.py

@@ -1,10 +1,23 @@
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+from fastai.vision.all import *
 import gradio as gr
+import timm
+
+# Upload your model
+learn = load_learner('model (1).pkl')
+
+categories = learn.dls.vocab
 
-def greet(name):
-    return "Hello " + name + "!!"
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
 
-cycles = ['unicycle.jpeg', 'bicycle.jpeg', 'tricycle.png']
+image = gr.Image()
+label = gr.Label()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Upload your own images and link them
+examples = ['unicycle.jpeg', 'bicycle.jpeg', 'tricycle.png']
 
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

model.pkl

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:289406d996c0060f0cc8ef26c42971bdb27cfa389938f0f928045e734b079ae0
-size 47061355