Add multi_view_diffusion_pipeline and some import

app.py

@@ -1,4 +1,14 @@
 import gradio as gr
+import torch
+from diffusers import DiffusionPipeline
+import numpy as np
+
+multi_view_diffusion_pipeline = DiffusionPipeline.from_pretrained(
+    "2gnak/multi-view-diffusion-demo",
+    custom_pipeline="dylanebert/multi-view-diffusion",
+    torch_dtype=torch.float16,
+    trust_remote_code=True,
+).to("cuda")
 
 def run(image):
   image = np.array(image, dtype=np.float32) / 255.0