Create app.py

app.py

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+import gradio as gr
+from diffusers import DiffusionPipeline
+import torch
+
+pipe = DiffusionPipeline.from_pretrained(
+    "damo-vilab/text-to-video-ms-1.7b",
+    torch_dtype=torch.float16
+)
+
+pipe.to("cpu")
+
+def generate(prompt):
+    result = pipe(prompt)
+    video = result.frames
+    return video
+
+demo = gr.Interface(
+    fn=generate,
+    inputs="text",
+    outputs="video",
+    title="🔥 AI Video Generator"
+)
+
+demo.launch()