Update app.py

app.py

@@ -38,8 +38,8 @@ import warnings
 warnings.filterwarnings("ignore", message="Using the model-agnostic default `max_length`")
 
 def qa(image, question):
-    model = BlipForQuestionAnswering.from_pretrained("./models/Salesforce/blip-vqa-base")
-    processor = AutoProcessor.from_pretrained("./models/Salesforce/blip-vqa-base")
+    model = BlipForQuestionAnswering.from_pretrained("Salesforce/blip-vqa-base")
+    processor = AutoProcessor.from_pretrained("Salesforce/blip-vqa-base")
     
     inputs = processor(image=image, question=question, return_tensors="pt")
     out = model.generate(**inputs)