Update app.py

app.py

@@ -5,8 +5,8 @@ from transformers import BlipProcessor, BlipForConditionalGeneration
 
 device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
 
-processor = BlipProcessor.from_pretrained("noamrot/FuseCap")
-model = BlipForConditionalGeneration.from_pretrained("noamrot/FuseCap").to(device)
+processor = BlipProcessor.from_pretrained("noamrot/FuseCap_Image_Captioning")
+model = BlipForConditionalGeneration.from_pretrained("noamrot/FuseCap_Image_Captioning").to(device)
 
 def inference(raw_image):
     text = "a picture of "