setting app

app.py

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+import gradio as gr
+from fastai.vision.all import *
+learn=load_learner("model.pkl")
+
+def classify_images(im):
+    pred,idx,probs=learn.predict(im)
+    s='Your plant is '+pred
+    return s
+
+
+
+img=gr.inputs.Image()
+label=gr.outputs.Label()
+examples=["healthy1.jpeg","mosaic.jpeg","redrot.jpeg"]
+
+intf=gr.Interface(title="Sugarcane leaves Disease Recognition App",description="You can choose an example or choose picture of your plant.",fn=classify_images,inputs=img,outputs=label,examples=examples)
+intf.launch(inline=False)

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:55ed30df69007aa568bcf59670c59f04d6e24c3f9552ceefc6f7c66843e59e25
+size 47003865

requirements.txt

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+fastai