add initial version

.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
+export.pkl filter=lfs diff=lfs merge=lfs -text
+examples/airplane.jpg filter=lfs diff=lfs merge=lfs -text
+examples/tree.jpg filter=lfs diff=lfs merge=lfs -text

README.md

@@ -12,3 +12,9 @@ short_description: Tree detector
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+
+## Image credits
+- `tree.jpg`: https://commons.wikimedia.org/wiki/File:Flooded_Albizia_Saman_(rain_tree)_in_the_Mekong.jpg. Basile Morin, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, via Wikimedia Commons.
+
+- `airplane.jpg`: https://commons.wikimedia.org/wiki/File:Emirates_Airbus_A380-861_A6-EER_MUC_2015_01.jpg. Julian Herzog, CC BY 4.0 <https://creativecommons.org/licenses/by/4.0>, via Wikimedia Commons.

app.py

@@ -0,0 +1,17 @@
+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner("export.pkl")
+
+categories = ("Airplane", "Tree")
+
+base_path = "examples/"
+examples = ["tree.jpg", "airplane.jpg"]
+examples = [base_path + filename for filename in examples]
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+demo = gr.Interface(fn=classify_image, inputs="image", outputs="text", examples=examples, live=True)
+demo.launch()

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:baeeb0d29b54329c0b4cd5657d5a9e5448eba6c6d0270d6e509340b3ea88fdfb
+size 46961549

requirements.txt

@@ -0,0 +1 @@
+fastai==2.7.19