Add app.py

app.py

@@ -0,0 +1,14 @@
+from fastai.vision.all import *
+import gradio as gr
+import pathlib
+learn = load_learner('model.pkl')
+categories = ('Empty','Healthy', 'Wilted')
+
+def classify_img(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.Image(shape=(192,192))
+label = gr.Label()
+intf = gr.Interface(fn=classify_img, inputs=image, outputs=label, examples= ['healthy_hydro_kale.jpg', 'wilted_plant.jpg', 'empty_trays.jpg'])
+intf.launch(inline=False)