Fixes Horde not saving as expected
Now Horde will save different settings per model, or for All Refactored the code so that args.configname is not used like a global var. Added var.online_model because we need to keep track of it
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98
aiserver.py
98
aiserver.py
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@ -239,7 +239,8 @@ class vars:
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lastact = "" # The last action received from the user
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submission = "" # Same as above, but after applying input formatting
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lastctx = "" # The last context submitted to the generator
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model = "" # Model ID string chosen at startup
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model = "ReadOnly" # Model ID string chosen at startup
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online_model = "" # Used when Model ID is an online service, and there is a secondary option for the actual model name
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model_selected = "" #selected model in UI
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model_type = "" # Model Type (Automatically taken from the model config)
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noai = False # Runs the script without starting up the transformers pipeline
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@ -380,6 +381,7 @@ class vars:
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output_streaming = True
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token_stream_queue = TokenStreamQueue() # Queue for the token streaming
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show_probs = False # Whether or not to show token probabilities
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configname = None
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utils.vars = vars
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@ -615,6 +617,18 @@ api_v1 = KoboldAPISpec(
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tags=tags,
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)
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# Returns the expected config filename for the current setup.
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# If the model_name is specified, it returns what the settings file would be for that model
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def get_config_filename(model_name = None):
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if model_name:
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return(f"settings/{model_name.replace('/', '_')}.settings")
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elif args.configname:
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return(f"settings/{args.configname}.settings")
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elif vars.configname != '':
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return(f"settings/{vars.configname}.settings")
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else:
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print(f"Empty configfile name sent back. Defaulting to ReadOnly")
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return(f"settings/ReadOnly.settings")
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#==================================================================#
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# Function to get model selection at startup
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#==================================================================#
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@ -722,9 +736,8 @@ def check_if_dir_is_model(path):
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# Return Model Name
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#==================================================================#
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def getmodelname():
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if(args.configname):
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modelname = args.configname
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return modelname
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if(vars.online_model != ''):
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return(f"{vars.model}/{vars.online_model}")
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if(vars.model in ("NeoCustom", "GPT2Custom", "TPUMeshTransformerGPTJ", "TPUMeshTransformerGPTNeoX")):
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modelname = os.path.basename(os.path.normpath(vars.custmodpth))
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return modelname
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@ -1058,7 +1071,7 @@ def savesettings():
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# Write it
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if not os.path.exists('settings'):
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os.mkdir('settings')
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file = open("settings/" + getmodelname().replace('/', '_') + ".settings", "w")
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file = open(get_config_filename(), "w")
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try:
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file.write(json.dumps(js, indent=3))
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finally:
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@ -1084,9 +1097,9 @@ def loadsettings():
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processsettings(js)
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file.close()
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if(path.exists("settings/" + getmodelname().replace('/', '_') + ".settings")):
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if(path.exists(get_config_filename())):
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# Read file contents into JSON object
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file = open("settings/" + getmodelname().replace('/', '_') + ".settings", "r")
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file = open(get_config_filename(), "r")
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js = json.load(file)
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processsettings(js)
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@ -1444,8 +1457,8 @@ def get_model_info(model, directory=""):
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url = True
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key = True
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multi_online_models = True
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if path.exists("settings/{}.settings".format(model)):
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with open("settings/{}.settings".format(model), "r") as file:
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if path.exists(get_config_filename(model)):
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with open(get_config_filename(model), "r") as file:
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# Check if API key exists
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js = json.load(file)
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if("apikey" in js and js["apikey"] != ""):
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@ -1454,8 +1467,8 @@ def get_model_info(model, directory=""):
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elif 'oaiapikey' in js and js['oaiapikey'] != "":
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key_value = js["oaiapikey"]
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elif model in [x[1] for x in model_menu['apilist']]:
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if path.exists("settings/{}.settings".format(model)):
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with open("settings/{}.settings".format(model), "r") as file:
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if path.exists(get_config_filename(model)):
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with open(get_config_filename(model), "r") as file:
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# Check if API key exists
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js = json.load(file)
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if("apikey" in js and js["apikey"] != ""):
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@ -1559,8 +1572,8 @@ def get_oai_models(key):
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# If the client settings file doesn't exist, create it
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# Write API key to file
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os.makedirs('settings', exist_ok=True)
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if path.exists("settings/{}.settings".format(vars.model_selected)):
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with open("settings/{}.settings".format(vars.model_selected), "r") as file:
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if path.exists(get_config_filename(vars.model_selected)):
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with open(get_config_filename(vars.model_selected), "r") as file:
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js = json.load(file)
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if 'online_model' in js:
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online_model = js['online_model']
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@ -1571,7 +1584,7 @@ def get_oai_models(key):
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changed=True
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if changed:
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js={}
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with open("settings/{}.settings".format(vars.model_selected), "w") as file:
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with open(get_config_filename(vars.model_selected), "w") as file:
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js["apikey"] = key
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file.write(json.dumps(js, indent=3))
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@ -1609,8 +1622,8 @@ def get_cluster_models(msg):
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# If the client settings file doesn't exist, create it
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# Write API key to file
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os.makedirs('settings', exist_ok=True)
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if path.exists("settings/{}.settings".format(vars.model_selected)):
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with open("settings/{}.settings".format(vars.model_selected), "r") as file:
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if path.exists(get_config_filename(vars.model_selected)):
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with open(get_config_filename(vars.model_selected), "r") as file:
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js = json.load(file)
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if 'online_model' in js:
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online_model = js['online_model']
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@ -1621,7 +1634,7 @@ def get_cluster_models(msg):
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changed=True
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if changed:
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js={}
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with open("settings/{}.settings".format(vars.model_selected), "w") as file:
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with open(get_config_filename(vars.model_selected), "w") as file:
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js["apikey"] = vars.oaiapikey
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file.write(json.dumps(js, indent=3))
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@ -2065,6 +2078,7 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
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model = None
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generator = None
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model_config = None
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vars.online_model = ''
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with torch.no_grad():
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with warnings.catch_warnings():
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warnings.filterwarnings("ignore", message="torch.distributed.reduce_op is deprecated")
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@ -2083,11 +2097,26 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
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#Reload our badwords
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vars.badwordsids = vars.badwordsids_default
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if online_model == "":
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vars.configname = vars.model
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#Let's set the GooseAI or OpenAI server URLs if that's applicable
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if online_model != "":
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if path.exists("settings/{}.settings".format(vars.model)):
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else:
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vars.online_model = online_model
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# Swap OAI Server if GooseAI was selected
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if(vars.model == "GooseAI"):
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vars.oaiengines = "https://api.goose.ai/v1/engines"
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vars.model = "OAI"
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vars.configname = f"GooseAI_{online_model.replace('/', '_')}"
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elif(vars.model == "CLUSTER") and type(online_model) is list:
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if len(online_model) != 1:
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vars.configname = vars.model
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else:
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vars.configname = f"{vars.model}_{online_model[0].replace('/', '_')}"
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else:
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vars.configname = f"{vars.model}_{online_model.replace('/', '_')}"
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if path.exists(get_config_filename()):
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changed=False
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with open("settings/{}.settings".format(vars.model), "r") as file:
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with open(get_config_filename(), "r") as file:
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# Check if API key exists
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js = json.load(file)
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if 'online_model' in js:
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@ -2098,15 +2127,8 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
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changed=True
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js['online_model'] = online_model
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if changed:
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with open("settings/{}.settings".format(vars.model), "w") as file:
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with open(get_config_filename(), "w") as file:
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file.write(json.dumps(js, indent=3))
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# Swap OAI Server if GooseAI was selected
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if(vars.model == "GooseAI"):
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vars.oaiengines = "https://api.goose.ai/v1/engines"
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vars.model = "OAI"
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args.configname = "GooseAI" + "/" + online_model
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else:
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args.configname = vars.model + "/" + online_model
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vars.oaiurl = vars.oaiengines + "/{0}/completions".format(online_model)
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@ -2193,12 +2215,12 @@ def load_model(use_gpu=True, gpu_layers=None, disk_layers=None, initial_load=Fal
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if(vars.model == "GooseAI"):
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vars.oaiengines = "https://api.goose.ai/v1/engines"
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vars.model = "OAI"
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args.configname = "GooseAI"
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vars.configname = "GooseAI"
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# Ask for API key if OpenAI was selected
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if(vars.model == "OAI"):
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if not args.configname:
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args.configname = "OAI"
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if not vars.configname:
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vars.configname = "OAI"
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if(vars.model == "ReadOnly"):
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vars.noai = True
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@ -2784,8 +2806,8 @@ def lua_startup():
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global _bridged
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global F
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global bridged
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if(path.exists("settings/" + getmodelname().replace('/', '_') + ".settings")):
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file = open("settings/" + getmodelname().replace('/', '_') + ".settings", "r")
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if(path.exists(get_config_filename())):
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file = open(get_config_filename(), "r")
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js = json.load(file)
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if("userscripts" in js):
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vars.userscripts = []
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@ -3845,7 +3867,7 @@ def get_message(msg):
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else:
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sendModelSelection(menu=msg['data'], folder=msg['path'])
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else:
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vars.model_selected = msg['data']
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vars.model_selected = msg['data']
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if 'path' in msg:
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vars.custmodpth = msg['path']
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get_model_info(msg['data'], directory=msg['path'])
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@ -6052,7 +6074,9 @@ def oairequest(txt, min, max):
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vars.lastctx = txt
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# Build request JSON data
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if 'GooseAI' in args.configname:
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# GooseAI is a subntype of OAI. So to check if it's this type, we check the configname as a workaround
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# as the vars.model will always be OAI
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if 'GooseAI' in vars.configname:
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reqdata = {
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'prompt': txt,
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'max_tokens': vars.genamt,
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@ -6882,8 +6906,8 @@ def final_startup():
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threading.Thread(target=__preempt_tokenizer).start()
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# Load soft prompt specified by the settings file, if applicable
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if(path.exists("settings/" + getmodelname().replace('/', '_') + ".settings")):
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file = open("settings/" + getmodelname().replace('/', '_') + ".settings", "r")
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if(path.exists(get_config_filename())):
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file = open(get_config_filename(), "r")
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js = json.load(file)
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if(vars.allowsp and "softprompt" in js and type(js["softprompt"]) is str and all(q not in js["softprompt"] for q in ("..", ":")) and (len(js["softprompt"]) == 0 or all(js["softprompt"][0] not in q for q in ("/", "\\")))):
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spRequest(js["softprompt"])
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