Commit 4136246

@@ -363,8 +363,8 @@ class GEMINI:  # Official Gemini
     CLEAN_FILES_AFTER_SECONDS = int(os.getenv("GEMINI_CLEAN_FILES_AFTER_SECONDS", "172800"))  # default to 48 hours
 
     # response modality: text
-    TEXT_MODEL = os.getenv("GEMINI_TEXT_MODEL", "gemini-2.5-flash-preview-05-20")
-    TEXT_MODEL_NAME = os.getenv("GEMINI_TEXT_MODEL_NAME", "Gemini-2.5-Flash")
+    TEXT_MODEL = os.getenv("GEMINI_TEXT_MODEL", "gemini-2.5-pro")
+    TEXT_MODEL_NAME = os.getenv("GEMINI_TEXT_MODEL_NAME", "Gemini-2.5-Pro")
     TEXT_THINKING_BUDGET = os.getenv("GEMINI_TEXT_THINKING_BUDGET", None)  # 0 to disable thinking. DO NOT set this if the model is not a thinking model
     TEXT_CONFIG = os.getenv("GEMINI_TEXT_CONFIG", "{}")  # default config passed to GenerateContentConfig. Should be a json string: '{"key": "value"}'
     TEXT_MAX_TOKEN = int(os.getenv("GEMINI_TEXT_MAX_TOKEN", "250000"))  # 250K
@@ -378,7 +378,7 @@ class GEMINI:  # Official Gemini
 
     # ASR related
     ASR_MAX_DURATION = int(os.getenv("GEMINI_ASR_MAX_DURATION", "34200"))  # 9.5 hour
-    ASR_MODEL = os.getenv("GEMINI_ASR_MODEL", "gemini-2.5-flash-preview-05-20")
+    ASR_MODEL = os.getenv("GEMINI_ASR_MODEL", "gemini-2.5-flash")
     ASR_THINKING_BUDGET = os.getenv("GEMINI_ASR_THINKING_BUDGET", None)  # 0 to disable thinking. DO NOT set this if the model is not a thinking model
     ASR_CONFIG = os.getenv("GEMINI_ASR_CONFIG", "{}")  # default config passed to GenerateContentConfig. Should be a json string: '{"key": "value"}'
     ASR_USE_GROUNDING = os.getenv("GEMINI_ASR_USE_GROUNDING", "1").lower() in ["1", "y", "yes", "t", "true", "on"]  # Use Grounding with Google Search