Update app.py

app.py

@@ -4,13 +4,13 @@ import requests
 from transformers import BlipProcessor, BlipForConditionalGeneration
 
 processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
-model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base").to("cuda")
+model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base").to("cpu")
 
 def generate_caption(image_url):
     raw_image = Image.open(requests.get(image_url, stream=True).raw).convert('RGB')
     
     # Unconditional image captioning
-    inputs = processor(raw_image, return_tensors="pt").to("cuda")
+    inputs = processor(raw_image, return_tensors="pt").to("cpu")
     out = model.generate(**inputs)
     caption = processor.decode(out[0], skip_special_tokens=True)