Update app.py

app.py

@@ -28,15 +28,6 @@ scheduler_dict = {
     "LCM": LCMScheduler,
 }
 
-css = """
-.toolbutton {
-    margin-buttom: 0em 0em 0em 0em;
-    max-width: 2.5em;
-    min-width: 2.5em !important;
-    height: 2.5em;
-}
-"""
-
 SECRET_TOKEN = os.getenv('SECRET_TOKEN', 'default_secret')
 
 class AnimateController:
@@ -253,20 +244,14 @@ controller.update_base_model("realistic2.safetensors")
 
 
 def ui():
-    with gr.Blocks(css=css) as demo:
-        gr.Markdown(
-            """
-            # [AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning](https://arxiv.org/abs/2402.00769)
-            Fu-Yun Wang, Zhaoyang Huang (*Corresponding Author), Xiaoyu Shi, Weikang Bian, Guanglu Song, Yu Liu, Hongsheng Li (*Corresponding Author)<br>
-            [arXiv Report](https://arxiv.org/abs/2402.00769) | [Project Page](https://animatelcm.github.io/) | [Github](https://github.com/G-U-N/AnimateLCM) | [Civitai](https://civitai.com/models/290375/animatelcm-fast-video-generation) | [Replicate](https://replicate.com/camenduru/animate-lcm)
-            """
-            
-            '''
-            Important Notes: 
-            1. The generation speed is around few seconds. There is delay in the space.
-            2. Increase the sampling step and cfg and set proper negative prompt if you want more fancy videos.
-            '''
-        )
+    with gr.Blocks() as demo:
+        gr.HTML("""
+            <div style="z-index: 100; position: fixed; top: 0px; right: 0px; left: 0px; bottom: 0px; width: 100%; height: 100%; background: white; display: flex; align-items: center; justify-content: center; color: black;">
+            <div style="text-align: center; color: black;">
+            <p style="color: black;">This space is a REST API to programmatically generate MP4 videos.</p>
+            <p style="color: black;">Interested in using it? Look no further than the <a href="https://huggingface.co/spaces/wangfuyun/AnimateLCM" target="_blank">original space</a>!</p>
+            </div>
+            </div>""")
         with gr.Column():
             with gr.Row():
                  secret_token = gr.Text(label='Secret Token', max_lines=1)
@@ -309,12 +294,7 @@ def ui():
                                                   base_model_dropdown, lora_model_dropdown])
 
         with gr.Column(variant="panel"):
-            gr.Markdown(
-                """
-                ### 2. Configs for AnimateLCM.
-                """
-            )
-
+     
             prompt_textbox = gr.Textbox(label="Prompt", lines=2, value="a boy holding a rabbit")
             negative_prompt_textbox = gr.Textbox(
                 label="Negative prompt", lines=2, value="bad quality")