Update model

app.py

@@ -78,7 +78,7 @@ class OmniAPIClient:
         # Fixed set of models as requested
         fixed_models = [
             "typhoon-ocr-preview",
-            "qwen/qwen3-235b-a22b-instruct-2507",
+            "qwen/qwen3-vl-235b-a22b-instruct",
             "openai/gpt-5",
             "meta-llama/llama-4-maverick",
             "gemini/gemini-2.5-pro",
@@ -86,7 +86,7 @@ class OmniAPIClient:
         ]
         return True, fixed_models
 
-    def send_chat_completion(self, text: str, files: List[str], api_key: str = "", model: str = "qwen/qwen3-235b-a22b-instruct-2507", max_tokens: int = 16384, stream: bool = False) -> Tuple[bool, Any]:
+    def send_chat_completion(self, text: str, files: List[str], api_key: str = "", model: str = "qwen/qwen3-vl-235b-a22b-instruct", max_tokens: int = 16384, stream: bool = False) -> Tuple[bool, Any]:
         """Send chat completion request to the API"""
         try:
             # Build message content
@@ -154,7 +154,7 @@ def create_ui():
     API_ENDPOINTS = {
         "https://api.modelharbor.com": [
             "typhoon-ocr-preview",
-            "qwen/qwen3-235b-a22b-instruct-2507",
+            "qwen/qwen3-vl-235b-a22b-instruct",
             "openai/gpt-5",
             "meta-llama/llama-4-maverick",
             "gemini/gemini-2.5-pro",

model_card.md

@@ -33,7 +33,7 @@ The interface supports several state-of-the-art models:
 - typhoon-ocr-preview
 - openai/gpt-5
 - meta-llama/llama-4-maverick
-- qwen/qwen3-235b-a22b-instruct-2507
+- qwen/qwen3-vl-235b-a22b-instruct
 - gemini/gemini-2.5-pro
 - gemini/gemini-2.5-flash