started

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+
+*jpeg* filter=lfs diff=lfs merge=lfs -text
+*webp* filter=lfs diff=lfs merge=lfs -text

bridges.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7871042009aff64b055884b90f19de3a4d8a685e96ef0c9d5aa05274efed6d49
+size 114621782

main.py

@@ -0,0 +1,22 @@
+from fastai.vision.all import *
+import gradio as gr
+learn = load_learner('bridges.pkl')
+
+
+categories = ('Arch','Cantilever','Suspension','Truss')
+
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+
+examples = ['arch bridge 1.jpeg', 'arch bridge 2.jpeg','cantilever bridge 1.jpeg','cantilever bridge 2.jpeg','suspension bridge 1.jpeg','suspension bridge 1.webp','truss bridge 1.jpeg','truss bridge 2.jpeg',]
+
+intf = gr.Interface(fn=classify_image, inputs=image,
+                    outputs=label)
+
+intf.launch(inline=False)