add model v2 - more painters supported

app.py

@@ -10,21 +10,35 @@ CATS_MAP = {
     "rembrandt": "Rembrandt",
 }
 
+CATS_MAP_V2 = {
+    "picasso": "Pablo Picasso",
+    "vanGogh": "Vincent van Gogh",
+    "dali": "Salvador Dalí",
+    "daVinci": "Leonard da Vinci",
+    "rembrandt": "Rembrandt",
+    "monet": "Claude Monet",
+    "caruso": "Santiago Caruso",
+    "renoir": "Pierre-Auguste Renoir",
+    "oKeeffe": "Georgia O’Keeffe",
+    "krasner": "Lee Krasner",
+}
+
 # load pre-trained model
-model = load_learner("model.pkl")
+model = load_learner("model_v2.pkl")
 
 # get classes name in right order
-full_name_cats = [CATS_MAP[key_class] for key_class in model.dls.vocab]
+full_name_cats = [CATS_MAP_V2[key_class] for key_class in model.dls.vocab]
 
 
 def classify_image(img) -> dict:
     category, idx, probs = model.predict(img)
+
     return dict(zip(full_name_cats, map(float, probs)))
 
 
 # Gradio control
 image = gr.inputs.Image(shape=(224, 224))
-label = gr.outputs.Label()
+label = gr.outputs.Label(num_top_classes=4)
 examples = [
     f"images_examples/{filename}" 
     for filename in ("mona_lisa.jpg", "starry_night.jpg", "le_reve.jpg")

model_v2.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb83103d6b4a409ecde5f5c0a17e7570beed3f8907821d91ba91b97ec4347d4f
+size 46999859