Update app.py

app.py

@@ -118,9 +118,9 @@ model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base").to(
 # Function
 def vqa_answer(image, question):
     # image is already a PIL Image (no need to open again)
-    inputs = vqa_processor(image, question, return_tensors="pt").to(vqa_model.device)
-    out = vqa_model.generate(**inputs, max_new_tokens=50)
-    answer = vqa_processor.decode(out[0], skip_special_tokens=True)
+    inputs = processor(image, question, return_tensors="pt").to(model.device)
+    out = model.generate(**inputs, max_new_tokens=50)
+    answer = processor.decode(out[0], skip_special_tokens=True)
     return answer