pet-breed classifier app

.gitattributes

@@ -33,3 +33,4 @@ 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
+*.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,18 @@
+from fastai.vision.all import *
+import gradio as gr
+import timm
+
+learn = load_learner('pet-breeds-model.pkl')
+
+categories = learn.dls.vocab
+
+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 = ['basset.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

pet-breeds-model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3d22a81d5d255b287aebebff8fe855b9aa45df4ab1c1f44134e85bc8057bc1f4
+size 114793249

requirements.txt

@@ -0,0 +1,5 @@
+fastai==2.7.12
+gradio==3.34.0
+timm==0.9.2
+torch==2.0.1
+torchvision==0.15.2