Update app.py

app.py

@@ -2,10 +2,14 @@ import gradio as gr
 from transformers import LlavaForConditionalGeneration, LlavaProcessor
 from PIL import Image
 import torch
+import warnings
+warnings.filterwarnings("ignore")
 
 #Charger le modèle et le processeur
 model_id = "llava-hf/llava-1.5-7b-hf"
-processor = LlavaProcessor.from_pretrained(model_id)
+#processor = LlavaProcessor.from_pretrained(model_id)
+processor = LlavaProcessor.from_pretrained(model_id, use_fast=False)
+
 model = LlavaForConditionalGeneration.from_pretrained(
     model_id,
     torch_dtype=torch.float16,