Update app.py

app.py

@@ -13,15 +13,15 @@ pipe.enable_vae_slicing()
 
 @spaces.GPU(duration=250)
 def generate(prompt, num_inference_steps, num_frames):
-    video_frames = pipe(prompt, num_inference_steps, num_frames).frames[0]
+    video_frames = pipe(prompt, num_inference_steps=num_inference_steps, num_frames=num_frames).frames[0]
     video_path = export_to_video(video_frames, fps=10)
     return video_path
 
 prompt = gr.Textbox(label="Enter prompt to generate a video", info="Based on this prompt ai will generate a video")
 description="""
-🚀 This is **unofficial** demo of Openai's Sora that haven't been released yet.
-✔ This space made using [ali-vilab/text-to-video-ms-1.7b](https://huggingface.co/ali-vilab/text-to-video-ms-1.7b)
-⌚ Estimated generation time is **150 seconds**
+🚀 This is **unofficial** demo of Openai's Sora that haven't been released yet.\n
+✔ This space made using [ali-vilab/text-to-video-ms-1.7b](https://huggingface.co/ali-vilab/text-to-video-ms-1.7b)\n
+⌚ Estimated generation time is **150 seconds**\n
 🎁 Space is running on ZeroGPU, if you want faster generation, duplicate space and choose faster GPU
 """
 num_inference_steps=gr.Slider(8, 64, step=8, value=24, label="Num Inference Steps", info="More steps then better quality")