Deploy to huggingface spaces

.gitattributes

@@ -33,3 +33,5 @@ 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
+*.png filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+myenv/

app.py

@@ -0,0 +1,19 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner("model_resnet18.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))}
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="filepath"),
+    outputs=gr.Label(num_top_classes=3),
+    title="Bear Detector Classifier",
+    description="Fastai bear classifier demo",
+    examples=["grizzly.jpg"],
+).launch()

model_resnet18.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:be1df590dc2648ef70761fa7b7262802c641a077b55135a93c09b94f77d512f8
+size 46982358

requirements.txt

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+gradio
+fastai
+scikit-image