Update app.py

app.py

@@ -19,7 +19,7 @@ model = BlipForConditionalGeneration.from_pretrained(model_id).to(device)
 
 def run(image: PIL.Image.Image) -> str:
     inputs = processor(images=image, return_tensors="pt").to(device)
-    out = model.generate(pixel_values=pixel_values, max_length=300)
+    out = model.generate(pixel_values=inputs.pixel_values, max_length=300)
     generated_caption = processor.decode(out[0], skip_special_tokens=True)
     return generated_caption