UI update

- 去除项目相关信息
- footer 处理

app.py

@@ -85,23 +85,23 @@ def resize_image(image, output_size=(1024, 576)):
     cropped_image = resized_image.crop((left, top, right, bottom))
     return cropped_image
 
-with gr.Blocks() as demo:
-  gr.Markdown('''# Community demo for Stable Video Diffusion - Img2Vid - XT ([model](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt), [paper](https://stability.ai/research/stable-video-diffusion-scaling-latent-video-diffusion-models-to-large-datasets), [stability's ui waitlist](https://stability.ai/contact))
-#### Research release ([_non-commercial_](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt/blob/main/LICENSE)): generate `4s` vid from a single image at (`25 frames` at `6 fps`). this demo uses [🧨 diffusers for low VRAM and fast generation](https://huggingface.co/docs/diffusers/main/en/using-diffusers/svd).
+with gr.Blocks(css="footer {visibility: hidden}") as demo:
+  gr.Markdown('''# AI 视频生成
+#### 由单张图片生成一小段视频
   ''')
   with gr.Row():
     with gr.Column():
-        image = gr.Image(label="Upload your image", type="pil")
-        generate_btn = gr.Button("Generate")
+        image = gr.Image(label="上传图片", type="pil")
+        generate_btn = gr.Button("开始生成视频")
     video = gr.Video()
-  with gr.Accordion("Advanced options", open=False):
-      seed = gr.Slider(label="Seed", value=42, randomize=True, minimum=0, maximum=max_64_bit_int, step=1)
-      randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
-      motion_bucket_id = gr.Slider(label="Motion bucket id", info="Controls how much motion to add/remove from the image", value=127, minimum=1, maximum=255)
-      fps_id = gr.Slider(label="Frames per second", info="The length of your video in seconds will be 25/fps", value=6, minimum=5, maximum=30)
+  with gr.Accordion("高级选项", open=False):
+      seed = gr.Slider(label="Seed 种子数", value=42, randomize=True, minimum=0, maximum=max_64_bit_int, step=1)
+      randomize_seed = gr.Checkbox(label="随机", value=True)
+      motion_bucket_id = gr.Slider(label="Motion bucket id", info="控制画面运动", value=127, minimum=1, maximum=255)
+      fps_id = gr.Slider(label="帧率", info="每秒的画面数量", value=6, minimum=5, maximum=30)
       
   image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
-  generate_btn.click(fn=sample, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id], outputs=[video, seed], api_name="video")
+  generate_btn.click(fn=sample, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id], outputs=[video, seed], api_name="生成视频")
   gr.Examples(
     examples=[
         "images/blink_meme.png",