initial commit

.pre-commit-config.yaml

@@ -0,0 +1,5 @@
+repos:
+-   repo: https://github.com/psf/black
+    rev: 23.3.0
+    hooks:
+    - id: black

app.py

@@ -0,0 +1,33 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner("model.pkl")
+
+labels = learn.dls.vocab
+
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+title = "Hotdog or Not?"
+description = "upload a picture of a hotdog or hamburger and be amazed!"
+article = "<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
+examples = ["siamese.jpg"]
+interpretation = "default"
+enable_queue = True
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.inputs.Image(shape=(512, 512)),
+    outputs=gr.outputs.Label(num_top_classes=3),
+    title=title,
+    description=description,
+    article=article,
+    examples=examples,
+    interpretation=interpretation,
+    enable_queue=enable_queue,
+).launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ff10bf6d7eaf4c56f0d4e9640cc32af39d46d6c8fe627e020366b48926ec3653
+size 47058513