Update app.py

app.py

@@ -12,18 +12,29 @@ pipe.enable_model_cpu_offload()
 pipe.enable_vae_slicing()
 
 @spaces.GPU(duration=250)
-def generate(prompt):
-    video_frames = pipe(prompt, num_inference_steps=50, num_frames=200).frames[0]
+def generate(prompt, num_inference_steps, num_frames):
+    video_frames = pipe(prompt, num_inference_steps, 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**
+🎁 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")
+num_frames=gr.Slider(8, 640, step=8, value=200, label="Num of Frames", info="It is duration of video")
 
 interface = gr.Interface(
   generate,
   inputs=[prompt],
+  additional_inputs=[num_inference_steps, num_frames],
   examples=[["Astronaut riding a horse"], ["Darth vader surfing in waves"]],
   outputs="video",
+  title="Openai Sora (Unofficial)",
+  description=description,
   cache_examples=False,
   theme="soft"
 ).launch()