test

app.py

@@ -3,10 +3,14 @@ import numpy as np
 import random
 from diffusers import DiffusionPipeline
 import torch
-from transformers import LlavaNextVideoProcessor
-
-processor = LlavaNextVideoProcessor.from_pretrained("llava-hf/LLaVA-NeXT-Video-7B-hf")
+# Use a pipeline as a high-level helper
+from transformers import pipeline
 
+messages = [
+    {"role": "user", "content": "Who are you?"},
+]
+pipe = pipeline("text-generation", model="lmms-lab/LLaVA-NeXT-Video-32B-Qwen")
+pipe(messages)
 
 device = "cuda" if torch.cuda.is_available() else "cpu"