:sparkles: add gradio interface

app.py

@@ -0,0 +1,39 @@
+import gradio as gr
+from PIL import Image
+from diffusers import StableDiffusionLDM3DPipeline
+
+# Load the model. Do this once to avoid reloading on every request.
+pipe = StableDiffusionLDM3DPipeline.from_pretrained("Intel/ldm3d-pano")
+pipe.to("cuda")
+
+
+def generate_images(prompt, guidance_scale=7.0, num_inference_steps=50):
+    output = pipe(
+        prompt,
+        width=1024,
+        height=512,
+        guidance_scale=guidance_scale,
+        num_inference_steps=num_inference_steps,
+    )
+
+    rgb_image, depth_image = output.rgb, output.depth
+
+    # Convert to PIL Images for Gradio compatibility
+    rgb_image = Image.fromarray(rgb_image[0])
+    depth_image = Image.fromarray(depth_image[0])
+
+    return rgb_image, depth_image
+
+
+iface = gr.Interface(
+    fn=generate_images,
+    inputs=[
+        "text",
+        gr.Slider(0, 20, value=7.0, label="Guidance Scale"),
+        gr.Slider(0, 100, value=50, label="Inference Steps")
+    ],
+    outputs=["image", "image"],
+    title="ldm3d-pano Image Generator"
+)
+
+iface.launch()