initial upload

.gitattributes

@@ -29,3 +29,10 @@ 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
+0001_0170.jpg filter=lfs diff=lfs merge=lfs -text
+0003_0179.jpg filter=lfs diff=lfs merge=lfs -text
+0005_0268.jpg filter=lfs diff=lfs merge=lfs -text
+0008_0148.jpg filter=lfs diff=lfs merge=lfs -text
+0015_0123.jpg filter=lfs diff=lfs merge=lfs -text
+0016_0118.jpg filter=lfs diff=lfs merge=lfs -text
+0019_0276.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,17 @@
+from fastai.vision.all import *
+import gradio as gr
+from gradio.components import Image, Label
+import glob
+
+learn = load_learner('export.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i] : flaot(probs[i]) for i in range(len(labels[i]))}
+
+gr.Interface(fn = predict,
+             inputs = Image(size = (128, 128)),
+             outputs = Labels(num_top_classes = 3),
+             examples = glob.glob('*.JPG')).launch(share=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d070d37f339d32c93aaea47458accac386160a3e7f6c6d16291c6ea9787a1241
+size 87567791

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+glob