added app.py and model file

.gitignore

@@ -0,0 +1,5 @@
+/Include
+/Lib
+/Scripts
+/share
+pyvenv.cfg

app.py

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+import timm
+import gradio as gr
+from pathlib import Path
+from fastai.vision.all import *
+
+categories = ['cercospora', 'common_rust', 'healthy', 'northern_leaf_blight']
+
+learner = load_learner(Path('tomato_resnet50.pkl'))
+
+def classify(img):
+    category, index, probs = learner.predict(img)
+    return (dict(zip(categories, map(float, probs))))
+
+image = gr.inputs.Image(shape=(224))
+label = gr.outputs.Label()
+example = []
+
+interface = gr.Interface(fn=classify, 
+                         inputs='image', 
+                         outputs='label',
+                         example=example)
+
+interface.launch()

corn_fastai_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b05d4e10e244d6c596112ad56a24cffd2dc1d4b1d4d951077fda2540dc996493
+size 103021797