candidates are passed to classifier

app.py

@@ -4,8 +4,9 @@ from transformers import pipeline
 checkpoint = "openai/clip-vit-large-patch14"
 detector = pipeline(model=checkpoint, task="zero-shot-image-classification")
 
-def classify(img):
-    predictions = detector(img, candidate_labels=["fox", "bear", "seagull", "owl"])
+def classify(img, candidates):
+    labels = candidates.split(sep=",")
+    predictions = detector(img, candidate_labels=labels)
     return predictions
 
 with gr.Blocks() as iface: