Create app.py

app.py

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+import torch
+from diffusers import DiffusionPipeline, DPMSolverMultistepScheduler
+from diffusers.utils import export_to_video
+import gradio as gr
+
+pipe = DiffusionPipeline.from_pretrained("damo-vilab/text-to-video-ms-1.7b", torch_dtype=torch.float16, variant="fp16")
+pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+pipe.enable_model_cpu_offload()
+
+def text_video(prompt):
+    video_frames = pipe(prompt, num_inference_steps=25).frames
+    video_path = export_to_video(video_frames)
+prompt = gr.Textbox('어떤 비디오를 생성할까요? : ')
+result = gr.Video(label="Generated Video")
+run_button.click(fn=model.text_video,
+                         inputs=prompt,
+                         outputs=result)