Making model backends respond to a specific type in the aiserver menu for now

aiserver.py

@@ -626,14 +626,20 @@ def UI_2_log_history(message):
 import importlib
 model_backend_code = {}
 model_backends = {}
+model_backend_type_crosswalk = {}
 for module in os.listdir("./modeling/inference_models"):
     if not os.path.isfile(os.path.join("./modeling/inference_models",module)) and module != '__pycache__':
         try:
             model_backend_code[module] = importlib.import_module('modeling.inference_models.{}.class'.format(module))
             model_backends[model_backend_code[module].model_backend_name] = model_backend_code[module].model_backend()
-            if 'disable' in vars(model_backends[model_backend_code[module].model_backend_name]):
-                if model_backends[model_backend_code[module].model_backend_name].disable:
-                    del model_backends[model_backend_code[module].model_backend_name]
+            if 'disable' in vars(model_backends[model_backend_code[module].model_backend_name]) and model_backends[model_backend_code[module].model_backend_name].disable:
+                del model_backends[model_backend_code[module].model_backend_name]
+            else:
+                if model_backend_code[module].model_backend_type in model_backend_type_crosswalk:
+                    model_backend_type_crosswalk[model_backend_code[module].model_backend_type].append(model_backend_code[module].model_backend_name)
+                else:
+                    model_backend_type_crosswalk[model_backend_code[module].model_backend_type] = [model_backend_code[module].model_backend_name]
+
         except Exception:
             logger.error("Model Backend {} failed to load".format(module))
             logger.error(traceback.format_exc())
@@ -6211,6 +6217,7 @@ def UI_2_load_model_button(data):
 @socketio.on('select_model')
 @logger.catch
 def UI_2_select_model(data):
+    global model_backend_type_crosswalk #No idea why I have to make this a global where I don't for model_backends...
     logger.debug("Clicked on model entry: {}".format(data))
     if data["name"] in model_menu and data['ismenu'] == "true":
         emit("open_model_load_menu", {"items": [{**item.to_json(), **{"menu":data["name"]}} for item in model_menu[data["name"]] if item.should_show()]})
@@ -6220,8 +6227,9 @@ def UI_2_select_model(data):
             valid_loaders = {}
             if data['id'] in [item.name for sublist in model_menu for item in model_menu[sublist]]:
                 #Here if we have a model id that's in our menu, we explicitly use that backend
-                for model_backend in set([item.model_backend for sublist in model_menu for item in model_menu[sublist] if item.name == data['id']]):
-                    valid_loaders[model_backend] = model_backends[model_backend].get_requested_parameters(data["name"], data["path"] if 'path' in data else None, data["menu"])
+                for model_backend_type in set([item.model_backend for sublist in model_menu for item in model_menu[sublist] if item.name == data['id']]):
+                    for model_backend in model_backend_type_crosswalk[model_backend_type]:
+                        valid_loaders[model_backend] = model_backends[model_backend].get_requested_parameters(data["name"], data["path"] if 'path' in data else None, data["menu"])
                 emit("selected_model_info", {"model_backends": valid_loaders})
             else:
                 #Here we have a model that's not in our menu structure (either a custom model or a custom path

modeling/inference_models/api/class.py

@@ -19,6 +19,7 @@
 )
 
 model_backend_name = "KoboldAI API"
+model_backend_type = "KoboldAI API" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class APIException(Exception):
     """To be used for errors when using the Kobold API as an interface."""

modeling/inference_models/basic_api/class.py

@@ -17,6 +17,7 @@
 
 
 model_backend_name = "KoboldAI Old Colab Method"
+model_backend_type = "KoboldAI Old Colab Method" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class BasicAPIException(Exception):
     """To be used for errors when using the Basic API as an interface."""

modeling/inference_models/generic_hf_torch/class.py

@@ -23,6 +23,7 @@
 from modeling.inference_models.hf_torch import HFTorchInferenceModel
 
 model_backend_name = "Huggingface"
+model_backend_type = "Huggingface" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class model_backend(HFTorchInferenceModel):
 

modeling/inference_models/gooseai/class.py

@@ -15,6 +15,7 @@
 from modeling.inference_models.openai_gooseai import model_backend as openai_gooseai_model_backend
 
 model_backend_name = "GooseAI"
+model_backend_type = "GooseAI" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class OpenAIAPIError(Exception):
     def __init__(self, error_type: str, error_message) -> None:

modeling/inference_models/hf_mtj/class.py

@@ -20,6 +20,7 @@
 from modeling.tokenizer import GenericTokenizer
 
 model_backend_name = "Huggingface MTJ"
+model_backend_type = "Huggingface" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 
 class model_backend(HFInferenceModel):

modeling/inference_models/horde/class.py

@@ -18,6 +18,7 @@
 )
 
 model_backend_name = "Horde"
+model_backend_type = "Horde" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class HordeException(Exception):
     """To be used for errors on server side of the Horde."""

modeling/inference_models/openai/class.py

@@ -15,6 +15,7 @@
 from modeling.inference_models.openai_gooseai import model_backend as openai_gooseai_model_backend
 
 model_backend_name = "OpenAI"
+model_backend_type = "OpenAI" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class OpenAIAPIError(Exception):
     def __init__(self, error_type: str, error_message) -> None:

modeling/inference_models/readonly/class.py

@@ -15,6 +15,7 @@
 )
 
 model_backend_name = "Read Only"
+model_backend_type = "Read Only" #This should be a generic name in case multiple model backends are compatible (think Hugging Face Custom and Basic Hugging Face)
 
 class BasicAPIException(Exception):
     """To be used for errors when using the Basic API as an interface."""