refactor: simplify model device handling using accelerate library

app.py

@@ -12,11 +12,11 @@ model_name = 'Marqo/marqo-fashionSigLIP'
 
 # Force CPU usage to avoid device mapping issues
 device = torch.device('cpu')
+
+# Simple loading approach - let model handle device placement
 model = AutoModel.from_pretrained(
     model_name,
-    trust_remote_code=True,
-    torch_dtype=torch.float32,
-    device_map=None  # This forces the model to stay on CPU
+    trust_remote_code=True
 ).to(device)
 
 processor = AutoProcessor.from_pretrained(model_name, trust_remote_code=True)

requirements.txt

@@ -4,6 +4,7 @@ requests
 Pillow
 open_clip_torch
 ftfy
+accelerate
 
 # This is only needed for local deployment
 gradio