added gif file generation example

app.py

@@ -1,2 +1,33 @@
-from diffusers import DiffusionPipeline
-pipeline = DiffusionPipeline.from_pretrained("Intel/ldm3d")
+import torch
+from diffusers import ShapEPipeline
+import gradio as gr
+from diffusers.utils import export_to_gif
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+
+def display_gif(gif_path):
+    return gif_path
+
+pipe = ShapEPipeline.from_pretrained("openai/shap-e", torch_dtype=torch.float16, variant="fp16")
+pipe = pipe.to(device)
+
+guidance_scale = 15.0
+prompt = ["A firecracker", "A birthday cupcake"]
+
+images = pipe(
+    prompt,
+    guidance_scale=guidance_scale,
+    num_inference_steps=64,
+    frame_size=256,
+).images
+
+
+gif_file = export_to_gif(images[0], "firecracker_3d.gif")
+export_to_gif(images[1], "cake_3d.gif")
+
+
+
+
+interface = gr.Interface(fn=display_gif, inputs=[], outputs="image")
+
+interface.launch(share=True, examples=[gif_file])
+