Update app.py

app.py

@@ -8,9 +8,8 @@ import cv2
 processor = CLIPSegProcessor.from_pretrained("CIDAS/clipseg-rd64-refined")
 model = CLIPSegForImageSegmentation.from_pretrained("CIDAS/clipseg-rd64-refined")
 
-def process_image(image, prompts):
-  prompts = list(prompts)
-  inputs = processor(text=prompts, images=[image] * len(prompts), padding="max_length", return_tensors="pt")
+def process_image(image, prompt):
+  inputs = processor(text=prompt, images=image, padding="max_length", return_tensors="pt")
   
   # predict
   with torch.no_grad():