Add image classification functionality with FastAI

.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 +1,25 @@
+from fastai.vision.all import load_learner
+import gradio as gr
+import os
+
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.Image()
+label = gr.Label()
+
+# put all images from the images folder into the examples list
+examples = []
+for file in os.listdir("images"):
+    if file.endswith(".jpg"):
+        examples.append("images/" + file)
+
+iface = gr.Interface(fn=classify_image, inputs="image", outputs="label", examples=examples)
+iface.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:99993089d49b046920f11f6fa2b8d997820513dd143c5954e05aacc12fd80313
+size 47064766