Minor changes in texts

app.py

@@ -22,15 +22,17 @@ with gr.Blocks(css='style.css') as demo:
         <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
         Levon Khachatryan<sup>1*</sup>, Andranik Movsisyan<sup>1*</sup>, Vahram Tadevosyan<sup>1*</sup>, Roberto Henschel<sup>1*</sup>, Zhangyang Wang<sup>1,2</sup>, Shant Navasardyan<sup>1</sup>
         and <a href="https://www.humphreyshi.com/home">Humphrey Shi</a><sup>1,3,4</sup>
-        [<a href="https://arxiv.org/abs/2303.13439" style="color:blue;">arXiv</a>] 
-        [<a href="https://github.com/Picsart-AI-Research/Text2Video-Zero" style="color:blue;">GitHub</a>]
         </h2>
         <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
         <sup>1</sup>Picsart AI Resarch (PAIR), <sup>2</sup>UT Austin, <sup>3</sup>U of Oregon, <sup>4</sup>UIUC
         </h2>
+        <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
+        [<a href="https://arxiv.org/abs/2303.13439" style="color:blue;">arXiv</a>] 
+        [<a href="https://github.com/Picsart-AI-Research/Text2Video-Zero" style="color:blue;">GitHub</a>]
+        </h2>
         <h2 style="font-weight: 450; font-size: 1rem; margin-top: 0.5rem; margin-bottom: 0.5rem">
         We built <b>Text2Video-Zero</b>,  a first zero-shot text-to-video synthesis diffusion framework, that enables low cost yet high-quality and consistent video generation with only pre-trained text-to-image diffusion models without any training on videos or optimization!
-        Text2Video-Zero also naturally supports cool derivative works of pre-trained text-to-image models such as Instruct Pix2Pix, ControlNet and DreamBooth, and based on which we present Video Instruct Pix2Pix, Pose Conditional, Edge Conditional and, Edge Conditional and DreamBooth Specialized applications.
+        Text2Video-Zero also naturally supports cool extension works of pre-trained text-to-image models such as Instruct Pix2Pix, ControlNet and DreamBooth, and based on which we present Video Instruct Pix2Pix, Pose Conditional, Edge Conditional and, Edge Conditional and DreamBooth Specialized applications.
         We hope our Text2Video-Zero will further democratize AI and empower the creativity of everyone by unleashing the zero-shot video generation and editing capacity of the amazing text-to-image models and encourage future research!
         </h2>
         </div>

app_text_to_video.py

@@ -26,7 +26,7 @@ def create_demo(model: Model):
                 """
                 <div style="text-align: left; auto;">
                 <h2 style="font-weight: 450; font-size: 1rem; margin: 0rem">
-                    Description: Simply input **any textual prompt** to generate videos right away and unleash your creativity and imagination! You can also select from the examples below. For performance purposes, our current preview release generates only 8 output frames and output 4s videos.
+                    Description: Simply input <b>any textual prompt</b> to generate videos right away and unleash your creativity and imagination! You can also select from the examples below. For performance purposes, our current preview release generates only 8 output frames and output 4s videos.
                 </h3>
                 </div>
                 """)