Update app.py

app.py

@@ -20,8 +20,8 @@ cap_model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-
 
 def caption(input_image):
     inputs = cap_processor(input_image, return_tensors="pt")
-    inputs["num_beams"] = 4
-    inputs['num_return_sequences'] =4
+    inputs["num_beams"] = 1
+    inputs['num_return_sequences'] =1
     out = cap_model.generate(**inputs)
     return "\n".join(cap_processor.batch_decode(out, skip_special_tokens=True))
 import openai