To HF Space

backend/api/llm_evaluator.py

@@ -14,9 +14,8 @@ from dotenv import load_dotenv
 load_dotenv()
 
 # Default Model IDs for the HF Router
-DEFAULT_GEMMA_MODEL = os.getenv("HF_GEMMA_MODEL", "google/gemma-2-9b-it")
 DEFAULT_QWEN_MODEL = os.getenv("HF_QWEN_MODEL", "Qwen/Qwen2.5-72B-Instruct")
-DEFAULT_GPT_MODEL = os.getenv("HF_GPT_MODEL", "openai/gpt-4o-mini")
+DEFAULT_GPT_MODEL = os.getenv("HF_GPT_MODEL", "openai/gpt-oss-20b")
 DEFAULT_FALLBACK_MODEL = "meta-llama/Llama-3.3-70B-Instruct"
 
 TASK_DESCRIPTIONS = {
@@ -221,10 +220,9 @@ def get_llm_analysis(data: dict, provider: str = "QWEN", model_name: str = None)
     try:
         if provider == "QWEN":
             model_id = model_name or DEFAULT_QWEN_MODEL
-        elif provider == "OPENAI":
-            model_id = model_name or DEFAULT_GPT_MODEL
         else:
-            model_id = model_name or DEFAULT_GEMMA_MODEL
+            # Default to GPT-OSS 20B (Hugging Face) for any other request
+            model_id = model_name or DEFAULT_GPT_MODEL
             
         return _get_router_analysis(data, model_id)
         

frontend/src/pages/Evaluate.jsx

@@ -17,8 +17,7 @@ export default function Evaluate() {
   
   const llmOptions = [
     { id: 'QWEN',   label: 'Qwen 2.5 72B (Alibaba)', model: 'Qwen/Qwen2.5-72B-Instruct' },
-    { id: 'OPENAI', label: 'GPT-4o (OpenAI)', model: 'gpt-4o' },
-    { id: 'HF',     label: 'Open Source (Hugging Face)', model: '' },
+    { id: 'OPENAI', label: 'gpt-oss-20b (Hugging Face)', model: 'openai/gpt-oss-20b' },
   ]
 
   const [llmProvider, setLlmProvider] = useState(llmOptions[0].id)