Update app.py

app.py

@@ -9,7 +9,7 @@ import spaces
 
 from PIL import Image, ImageOps
 
-# Qwen3-VL requires the latest Transformers from source.
+# Ostrakon-VL uses the Qwen3-VL stack.
 # In your Space requirements, use:
 # pip install git+https://github.com/huggingface/transformers
 from transformers import AutoProcessor, Qwen3VLForConditionalGeneration
@@ -32,8 +32,8 @@ torch.set_float32_matmul_precision("high")
 
 HF_TOKEN = os.environ.get("HF_TOKEN", "")
 
-# Qwen3-VL upgrade path
-MODEL_ID = "Qwen/Qwen3-VL-8B-Instruct"
+# Ostrakon-VL-8B
+MODEL_ID = "Ostrakon/Ostrakon-VL-8B"
 
 processor = None
 model = None
@@ -94,7 +94,6 @@ def extract_json(text: str) -> Dict[str, Any]:
 PROMPT = "Analyze this pantry image in detail, list every ingredient as JSON"
 
 
-
 @spaces.GPU(size="large", duration=60)
 def analyze_pantry(image: Image.Image) -> Tuple[Image.Image, Dict[str, Any]]:
     if image is None:
@@ -176,4 +175,4 @@ with gr.Blocks() as demo:
 
 
 demo.queue(max_size=8)
-demo.launch()
+demo.launch()