loaded model plant_leaf_classifier

app.py

@@ -1,7 +1,19 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+
+categories = ('Diseased leaf', 'Healthy leaf')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float, probs)))
+
+# export
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['diseased.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False, share=True)
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()