initial commit

.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
+IMG_3558.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner("export.pkl")
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    result = f"Prediction: {pred}; Probability: {probs[pred_idx]:.04f}"
+    return result
+
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title="Saving the silkies",
+    description="A pigeon/silkie classifier. Create as a demo for entertainment and educational purposes.",
+    article="<p style='text-align: center'><a href='LINK_HERE' target='_blank'>Blog post</a></p>",
+    examples=["IMG_3558.jpg"],
+    interpretation="default",
+    enable_queue=True,
+).launch(share=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:adce001fc69101a7b6963e28579f6e185ff8a9677508444e9fcc8f3d39c5a51e
+size 46968463

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image