Update app.py

app.py

@@ -258,13 +258,15 @@ with gr.Blocks() as demo:
         instructions = """## Instructions:
         1. Click **Get Random Image** to grab a random image from dataset
         1. Click **Create Caption** to generate a caption for the image
-        1. Different models can be selected:  *COCO* generally produces more straight-forward captions, but it is a smaller dataset and therefore struggles to recognize certain objects; **Conceptual Captions** is a much larger dataset but sometimes produces overly...um...poetic results
+        1. Different models can be selected:
+        * **COCO** generally produces more straight-forward captions, but it is a smaller dataset and therefore struggles to recognize certain objects
+        * **Conceptual Captions** is a much larger dataset but sometimes produces overly ``poetic'' results
         1. The dataset (<a href="https://github.com/unsplash/datasets" target="_blank">Unsplash Lite</a>) contains 25,000 nature-focused images"""
         gr.Markdown(instructions)
         with gr.Row():
             with gr.Column(variant="panel"):
                 im_cap = gr.Image(interactive=False).style(height=height)
-                model_name = gr.Radio(choices=["COCO","Conceptual captions"], type="value", value="COCO", label="Model").style(container=True, item_container = False)
+                model_name = gr.Radio(choices=["COCO","Conceptual Captions"], type="value", value="COCO", label="Model").style(container=True, item_container = False)
                 with gr.Row():
                     get_btn_cap = gr.Button("Get Random Image").style(full_width=False)
                     caption_btn = gr.Button("Create Caption").style(full_width=False)