Update app.py

app.py

@@ -121,7 +121,7 @@ with gr.Blocks() as demo:
         1. Enter list of labels separated by commas (or select one of the examples below)
         2. Click **Get Random Image** to grab a random image from dataset
         3. Click **Classify Image** to analyze current image against the labels (including after changing labels)
-        4. The dataset (<a href="https://github.com/unsplash/datasets" target="_blank">Unsplash Lite</a>) contains 25,000 nature-focused images."""
+        4. 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(variant="compact"):
             label_text = gr.Textbox(show_label=False, placeholder="Enter classification labels").style(container=False)
@@ -150,8 +150,8 @@ 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 often generally overly...um...poetic results
-        1. The dataset (<a href="https://github.com/unsplash/datasets" target="_blank">Unsplash Lite</a>) contains 25,000 nature-focused images."""
+        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. 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"):
@@ -169,7 +169,7 @@ with gr.Blocks() as demo:
         instructions = """## Instructions:
         1. Enter a search query (or select one of the examples below)
         2. Click **Find Images** to find images that match the query (top 5 are shown in order from left to right)
-        3. The dataset (<a href="https://github.com/unsplash/datasets" target="_blank">Unsplash Lite</a>) contains 25,000 nature-focused images."""
+        3. 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.Column(variant="panel"):
             desc = gr.Textbox(show_label=False, placeholder="Enter description").style(container=False)