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app.py

@@ -13,7 +13,7 @@ model, vis_processors, _ = load_model_and_preprocess(
 def predict(image):
     pre_processed_image = vis_processors["eval"](image).unsqueeze(0).to(device)
     response = model.generate({"image": pre_processed_image}, use_nucleus_sampling=True, num_captions=3)
-    return image, ",\n".join(response)
+    return image, "\n".join(response)
 
 demo = gr.Interface(
     title="Image Captioning - BLIP",