Add App

app.py

@@ -0,0 +1,32 @@
+# AUTOGENERATED! DO NOT EDIT! File to edit: . (unless otherwise specified).
+
+__all__ = ['learn', 'classify_image', 'categories', 'title', 'description', 'image', 'label', 'examples', 'intf']
+
+# Cell
+from fastai.vision.all import *
+
+import gradio as gr
+
+
+# Cell
+learn = load_learner('tower_parts_model.pkl')
+
+# Cell
+categories = learn.dls.vocab
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+# Cell
+title = "Tower Parts Classifier"
+description = "This deep learning model was trained with 478 images of telecommunication towers."
+
+# Cell
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['DSC01955.jpg', 'DSC01956.jpg']
+
+# Cell
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)