Update app/.pyfun

app/.pyfun

@@ -88,14 +88,14 @@ SEARCH_TIMEOUT_SEC      = "30"
   fallback_to         = ""                        # last in chain, no further fallback
   [LLM_PROVIDER.openrouter_END]
 
-  [LLM_PROVIDER.huggingface]
-  active              = "true"
-  base_url            = "https://api-inference.huggingface.co/models"
-  env_key             = "HF_TOKEN"                # → .env: HF_TOKEN=hf_...
-  default_model       = "mistralai/Mistral-7B-Instruct-v0.3"
-  models              = "mistralai/Mistral-7B-Instruct-v0.3, meta-llama/Llama-3.3-70B-Instruct"
-  fallback_to         = ""
-  [LLM_PROVIDER.huggingface_END]
+[LLM_PROVIDER.huggingface]
+  active             = "true"
+  base_url           = "https://api-inference.huggingface.co/models"
+  env_key            = "HF_TOKEN"                # → .env: HF_TOKEN=hf_...
+  default_model      = "cognitivecomputations/dolphin-mistral-24b-venice-edition:free"
+  models             = "cognitivecomputations/dolphin-mistral-24b-venice-edition:free, deepseek/deepseek-chat-v3.1:free, nvidia/nemotron-nano-9b-v2:free, google/gemma-3-27b-it:free, openai/gpt-oss-20b:free, qwen/qwen3-coder:free, qwen/qwen2.5-vl-72b-instruct:free, nousresearch/deephermes-3-llama-3-8b-preview:free, mistralai/Mistral-7B-Instruct-v0.3, meta-llama/Llama-3.3-70B-Instruct"
+  fallback_to        = ""
+[LLM_PROVIDER.huggingface_END]
 
   # ── Add more LLM providers below ──────────────────────────────────────────
   # [LLM_PROVIDER.mistral]