Create app.py

added the model

app.py

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+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+#installed the fastai
+from fastai import *
+from fastai.vision import *
+#from fastbook import *
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+ 
+title = "CLASMA"
+description = "AI app for classifying disease in cereal crops leaves."
+article = "sample image"
+examples = ['corn.jpg']
+interpretation = 'default'
+enable_queue = True
+
+gr.Interface(fn = predict, inputs = gr.inputs.Image(shape = (512, 512)),
+outputs = gr.outputs.Label(num_top_classes = 3),
+title = title,
+description = description,
+article = article,
+examples = examples, 
+interpretation = interpretation, 
+enable_queue = enable_queue).launch()