adding app file and model file and test images files

app.py

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+from fastai.vision.all import *
+import gradio as gr
+from pathlib import Path
+
+#import pathlib
+#temp = pathlib.PosixPath
+#pathlib.PosixPath = pathlib.WindowsPath
+
+nut_labels = (
+    "raw Almonds",
+    "raw Walnuts",
+    "raw Cashew nut",
+    "raw Pecans",
+    "raw Peanut",
+    "raw Pili nut",
+    "raw Pistachios nut",
+    "raw Hazelnuts",
+    "raw Brazil nut",
+    "raw Maccademia nut",
+    "raw Pine nut",
+    "raw Chestnut",
+    "raw Hickory nut",
+    "raw Ginkgo nut"
+)
+
+model = load_learner('nut-recognizer-v4.pkl')
+
+
+def recognize_image(image):
+    pred, idx, probs = model.predict(image)
+    return dict(zip(nut_labels, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label(num_top_classes=5)
+examples = [
+    'almond1.jpg',
+    'pistachio.jpg',
+    'cashew.jpg',
+    'peanuts.jpg'
+    ]
+
+iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

nut-recognizer-v4.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ac0d5c84eae82a61694be22c23a70f7f5ca42c82faeb1453ed0cbcf4afb0e1e6
+size 87525405