badwordids -> badwordsids typofix

aiserver.py

@@ -8161,7 +8161,7 @@ class GenerationInputSchema(SamplerSettingsSchema):
     frmtrmblln: Optional[bool] = fields.Boolean(metadata={"description": "Output formatting option. When enabled, replaces all occurrences of two or more consecutive newlines in the output with one newline.\n\nIf `disable_output_formatting` is `true`, this defaults to `false` instead of the value in the KoboldAI GUI."})
     frmtrmspch: Optional[bool] = fields.Boolean(metadata={"description": "Output formatting option. When enabled, removes `#/@%{}+=~|\^<>` from the output.\n\nIf `disable_output_formatting` is `true`, this defaults to `false` instead of the value in the KoboldAI GUI."})
     singleline: Optional[bool] = fields.Boolean(metadata={"description": "Output formatting option. When enabled, removes everything after the first line of the output, including the newline.\n\nIf `disable_output_formatting` is `true`, this defaults to `false` instead of the value in the KoboldAI GUI."})
-    use_default_badwordids: bool = fields.Boolean(load_default=True, metadata={"description": "Ban tokens that commonly worsen the writing experience for continuous story writing"})
+    use_default_badwordsids: bool = fields.Boolean(load_default=True, metadata={"description": "Ban tokens that commonly worsen the writing experience for continuous story writing"})
     disable_input_formatting: bool = fields.Boolean(load_default=True, metadata={"description": "When enabled, all input formatting options default to `false` instead of the value in the KoboldAI GUI"})
     frmtadsnsp: Optional[bool] = fields.Boolean(metadata={"description": "Input formatting option. When enabled, adds a leading space to your input if there is no trailing whitespace at the end of the previous action.\n\nIf `disable_input_formatting` is `true`, this defaults to `false` instead of the value in the KoboldAI GUI."})
     quiet: Optional[bool] = fields.Boolean(metadata={"description": "When enabled, Generated output will not be displayed in the console."})
@@ -8313,7 +8313,7 @@ def _generate_text(body: GenerationInputSchema):
         "sampler_order": ("koboldai_vars", "sampler_order", None),
         "sampler_full_determinism": ("koboldai_vars", "full_determinism", None),
         "stop_sequence": ("koboldai_vars", "stop_sequence", None),
-        "use_default_badwordids": ("koboldai_vars", "use_default_badwordids", None),
+        "use_default_badwordsids": ("koboldai_vars", "use_default_badwordsids", None),
     }
     saved_settings = {}
     set_aibusy(1)

gensettings.py

@@ -400,7 +400,7 @@ gensettingstf = [
  	"uitype": "toggle",
  	"unit": "bool",
  	"label": "Ban Bad Tokens",
- 	"id": "setusedefaultbadwordids",
+ 	"id": "setusedefaultbadwordsids",
  	"min": 0,
  	"max": 1,
  	"step": 1,
@@ -409,7 +409,7 @@ gensettingstf = [
     "menu_path": "Settings",
     "sub_path": "Sampling",
     "classname": "model",
-    "name": "use_default_badwordids",
+    "name": "use_default_badwordsids",
     "ui_level": 0
  	},
     {

koboldai_settings.py

@@ -693,7 +693,7 @@ class model_settings(settings):
         self._koboldai_vars = koboldai_vars
         self.alt_multi_gen = False
         self.bit_8_available = None
-        self.use_default_badwordids = True
+        self.use_default_badwordsids = True
         self.supported_gen_modes = []
         
     def reset_for_model_load(self):

modeling/inference_models/hf_torch.py

@@ -330,17 +330,17 @@ class HFTorchInferenceModel(HFInferenceModel):
         if seed is not None:
             torch.manual_seed(seed)
 
-        if utils.koboldai_vars.use_default_badwordids:
+        if utils.koboldai_vars.use_default_badwordsids:
-            self.active_badwordids = self.badwordsids + additional_bad_words_ids
+            self.active_badwordsids = self.badwordsids + additional_bad_words_ids
         else:
             if additional_bad_words_ids:
-                self.active_badwordids = additional_bad_words_ids
+                self.active_badwordsids = additional_bad_words_ids
             else:
-                self.active_badwordids = None
+                self.active_badwordsids = None
         
         with torch.no_grad():
             start_time = time.time()
-            if self.active_badwordids: ## I know duplicating this is ugly, but HF checks if its present and accepts nothing but actual token bans if its there (Which I can't guarantee would be universal enough).... - Henk
+            if self.active_badwordsids: ## I know duplicating this is ugly, but HF checks if its present and accepts nothing but actual token bans if its there (Which I can't guarantee would be universal enough).... - Henk
                 genout = self.model.generate(
                     input_ids=gen_in,
                     do_sample=True,
@@ -348,7 +348,7 @@ class HFTorchInferenceModel(HFInferenceModel):
                         len(prompt_tokens) + max_new, utils.koboldai_vars.max_length
                     ),
                     repetition_penalty=1.0,
-                    bad_words_ids=self.active_badwordids,
+                    bad_words_ids=self.active_badwordsids,
                     use_cache=True,
                     num_return_sequences=batch_count,
                 )