Switch to Qwen3-VL-32B-Instruct

app.py

@@ -1,6 +1,6 @@
 """Offsides — Tactical Edge Detection Demo.
 
-Gradio app displaying pre-computed Qwen-VL 72B tactical assessments
+Gradio app displaying pre-computed Qwen3-VL 32B tactical assessments
 of UEFA Champions League matches on AMD MI300X.
 """
 
@@ -30,7 +30,7 @@ ALL_FRAMES_DIR = DATA_DIR / "frames"
 MATCH_STATS_PATH = DATA_DIR / "match_stats.json"
 
 VLM_BASE_URL = os.environ.get("VLM_BASE_URL", "")
-VLM_MODEL = os.environ.get("VLM_MODEL", "Qwen/Qwen2.5-VL-72B-Instruct")
+VLM_MODEL = os.environ.get("VLM_MODEL", "Qwen/Qwen3-VL-32B-Instruct")
 VLM_API_KEY = os.environ.get("VLM_API_KEY", "EMPTY")
 
 
@@ -885,7 +885,7 @@ with gr.Blocks(
 
 ---
 
-`YouTube Highlights` → `Frame Extraction` → `YOLO Detection (YOLOv8m)` → `Annotation (OpenCV)` → `Tactical Reasoning (Qwen-VL 72B)` → `Edge Signal`
+`YouTube Highlights` → `Frame Extraction` → `YOLO Detection (YOLOv8m)` → `Annotation (OpenCV)` → `Tactical Reasoning (Qwen3-VL 32B)` → `Edge Signal`
 
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