app and reqs

app.py

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+import gradio as gr
+from fastai.vision.all import *
+from glob import glob
+
+learn_inf = load_learner('model.pkl')
+
+categories = ("Decease", "Healthy")
+
+def classify(img):
+    pred, pred_idx, probs = learn_inf.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label()
+examples = glob("images/*.jpg")
+
+title = "Strawberry Leaves Decease Classifier"
+description = "This classifier was trained on the 'Image Dataset for Tipburn Disorder Detection in Strawberry Leaves' and it is designed to help you detect weather straberry leaves are infected or not."
+interpretation='default'
+
+iface = gr.Interface(fn=classify, inputs=image, outputs=label, examples=examples, 
+                     title=title, description=description, interpretation=interpretation)
+iface.launch(enable_queue=True)

requirements.txt

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+fastai