Update app.py

app.py

@@ -167,8 +167,8 @@ pipe = load_and_prepare_model()
 # text models
 #checkpoint = "microsoft/Phi-3.5-mini-instruct"
 checkpoint = "ford442/Phi-3.5-mini-instruct-bf16"
-#captioner = pipeline(model="ydshieh/vit-gpt2-coco-en",device='cuda:0', task="image-to-text")
-captioner_2 = pipeline(model="Salesforce/blip-image-captioning-base",device='cuda', task="image-to-text")
+captioner_2 = pipeline(model="ydshieh/vit-gpt2-coco-en",device='cuda:0', task="image-to-text")
+#captioner = pipeline(model="Salesforce/blip-image-captioning-base",device='cuda', task="image-to-text")
 #captioner_3 = pipeline(model="ford442/blip-image-to-text-large-bf16",device='cuda', task="image-to-text")
 model5 = Blip2ForConditionalGeneration.from_pretrained("ford442/blip2-image-to-text-bf16").to('cuda')
 processor5 = Blip2Processor.from_pretrained("ford442/blip2-image-to-text-bf16", device_map='cuda')