Merge pull request #307 from ParisNeo/lollms-config-v2

Lollms config v2
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Saifeddine ALOUI 2023-06-22 00:46:41 +02:00 committed by GitHub
commit 2dfdd53ec0
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5 changed files with 422 additions and 487 deletions

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@ -13,8 +13,9 @@ from api.db import DiscussionsDB
from api.helpers import compare_lists
from pathlib import Path
import importlib
from lollms.config import InstallOption
from lollms.personality import AIPersonality, MSG_TYPE
from lollms.binding import LOLLMSConfig
from lollms.binding import LOLLMSConfig, BindingBuilder, LLMBinding
from lollms.paths import LollmsPaths
from lollms.helpers import ASCIIColors
import multiprocessing as mp
@ -85,420 +86,33 @@ def parse_requirements_file(requirements_path):
# ===========================================================
class ModelProcess:
def __init__(self, lollms_paths:LollmsPaths, config:LOLLMSConfig=None):
self.config = config
self.lollms_paths = lollms_paths
self.generate_queue = mp.Queue()
self.generation_queue = mp.Queue()
self.cancel_queue = mp.Queue(maxsize=1)
self.clear_queue_queue = mp.Queue(maxsize=1)
self.set_config_queue = mp.Queue(maxsize=1)
self.set_config_result_queue = mp.Queue(maxsize=1)
self.process = None
# Create synchronization objects
self.start_signal = mp.Event()
self.completion_signal = mp.Event()
self.model_ready = mp.Value('i', 0)
self.curent_text = ""
self.ready = False
self.id=0
self.n_predict=2048
self.reset_config_result()
def reset_config_result(self):
self._set_config_result = {
'status': True,
'binding_status':True,
'model_status':True,
'personalities_status':True,
'errors':[]
}
def remove_text_from_string(self, string, text_to_find):
"""
Removes everything from the first occurrence of the specified text in the string (case-insensitive).
Parameters:
string (str): The original string.
text_to_find (str): The text to find in the string.
Returns:
str: The updated string.
"""
index = string.lower().find(text_to_find.lower())
if index != -1:
string = string[:index]
return string
def load_binding(self, binding_name:str, install=False, force_install=False):
if install:
print(f"Loading binding {binding_name} install ON")
else:
print(f"Loading binding : {binding_name} install is off")
if binding_name is None:
self.model
binding_path = self.lollms_paths.bindings_zoo_path/binding_name
if install:
# first find out if there is a requirements.txt file
install_file_name="install.py"
install_script_path = binding_path / install_file_name
if install_script_path.exists() or force_install:
module_name = install_file_name[:-3] # Remove the ".py" extension
module_spec = importlib.util.spec_from_file_location(module_name, str(install_script_path))
module = importlib.util.module_from_spec(module_spec)
module_spec.loader.exec_module(module)
if hasattr(module, "Install"):
module.Install(self.config)
# define the full absolute path to the module
absolute_path = binding_path.resolve()
# infer the module name from the file path
module_name = binding_path.stem
# use importlib to load the module from the file path
loader = importlib.machinery.SourceFileLoader(module_name, str(absolute_path/"__init__.py"))
binding_module = loader.load_module()
binding_class = getattr(binding_module, binding_module.binding_name)
return binding_class
def start(self):
if self.process is None:
self.process = mp.Process(target=self._run)
self.process.start()
def stop(self):
if self.process is not None:
self.generate_queue.put(None)
self.process.join()
self.process = None
def set_config(self, config):
try:
self.set_config_result_queue.get_nowait()
except:
pass
self.set_config_queue.put(config)
# Wait for it t o be consumed
while self.set_config_result_queue.empty():
time.sleep(0.1)
return self.set_config_result_queue.get()
def generate(self, full_prompt, prompt, id, n_predict):
self.start_signal.clear()
self.completion_signal.clear()
self.generate_queue.put((full_prompt, prompt, id, n_predict))
def cancel_generation(self):
self.completion_signal.set()
self.cancel_queue.put(('cancel',))
ASCIIColors.error("Canel request received")
def clear_queue(self):
self.clear_queue_queue.put(('clear_queue',))
def rebuild_binding(self, config):
try:
ASCIIColors.success(" ******************* Building Binding from main Process *************************")
binding = self.load_binding(config["binding_name"], install=True)
ASCIIColors.success("Binding loaded successfully")
except Exception as ex:
ASCIIColors.error("Couldn't build binding.")
ASCIIColors.error("-----------------")
print(f"It seems that there is no valid binding selected. Please use the ui settings to select a binding.\nHere is encountered error: {ex}")
ASCIIColors.error("-----------------")
binding = None
return binding
def _rebuild_model(self):
try:
self.reset_config_result()
ASCIIColors.success(" ******************* Building Binding from generation Process *************************")
self.binding = self.load_binding(self.config["binding_name"], install=True)
ASCIIColors.success("Binding loaded successfully")
try:
model_file = self.lollms_paths.personal_models_path/self.config["binding_name"]/self.config["model_name"]
print(f"Loading model : {model_file}")
self.model = self.binding(self.config)
self.model_ready.value = 1
print("Model created successfully\n")
except Exception as ex:
if self.config["model_name"] is None:
print("No model is selected.\nPlease select a backend and a model to start using the ui.")
else:
print(f"Couldn't build model {self.config['model_name']} : {ex}")
self.model = None
self._set_config_result['status'] ='failed'
self._set_config_result['model_status'] ='failed'
self._set_config_result['errors'].append(f"couldn't build model:{ex}")
except Exception as ex:
traceback.print_exc()
print("Couldn't build model")
print(ex)
self.binding = None
self.model = None
self._set_config_result['status'] ='failed'
self._set_config_result['binding_status'] ='failed'
self._set_config_result['errors'].append(f"couldn't build binding:{ex}")
def rebuild_personalities(self):
mounted_personalities=[]
ASCIIColors.success(f" ******************* Building mounted Personalities from main Process *************************")
for i,personality in enumerate(self.config['personalities']):
try:
personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
if i==self.config["active_personality_id"]:
ASCIIColors.red("*", end="")
print(f" {personality}")
print(f"Loading from {personality_path}")
personality = AIPersonality(self.lollms_paths, personality_path, run_scripts=False)
mounted_personalities.append(personality)
except Exception as ex:
ASCIIColors.error(f"Personality file not found or is corrupted ({personality_path}).\nPlease verify that the personality you have selected exists or select another personality. Some updates may lead to change in personality name or category, so check the personality selection in settings to be sure.")
if self.config["debug"]:
print(ex)
personality = AIPersonality(self.lollms_paths)
print(f'selected : {self.config["active_personality_id"]}')
ASCIIColors.success(f" ************ Personalities mounted (Main process) ***************************")
return mounted_personalities
def _rebuild_personalities(self):
self.mounted_personalities=[]
failed_personalities=[]
self.reset_config_result()
ASCIIColors.success(f" ******************* Building mounted Personalities from generation Process *************************")
for i,personality in enumerate(self.config['personalities']):
try:
if i==self.config["active_personality_id"]:
ASCIIColors.red("*", end="")
print(f" {personality}")
personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
personality = AIPersonality(self.lollms_paths, personality_path, run_scripts=True, model=self.model)
self.mounted_personalities.append(personality)
except Exception as ex:
ASCIIColors.error(f"Personality file not found or is corrupted ({personality_path}).\nPlease verify that the personality you have selected exists or select another personality. Some updates may lead to change in personality name or category, so check the personality selection in settings to be sure.")
ASCIIColors.error(f"Exception received is: {ex}")
personality = AIPersonality(self.lollms_paths, model=self.model)
failed_personalities.append(personality_path)
self._set_config_result['errors'].append(f"couldn't build personalities:{ex}")
print(f'selected : {self.config["active_personality_id"]}')
ASCIIColors.success(f" ************ Personalities mounted (Generation process) ***************************")
if len(failed_personalities)==len(self.config['personalities']):
self._set_config_result['status'] ='failed'
self._set_config_result['personalities_status'] ='failed'
elif len(failed_personalities)>0:
self._set_config_result['status'] ='semi_failed'
self._set_config_result['personalities_status'] ='semi_failed'
if self.config['active_personality_id']<len(self.mounted_personalities):
self.personality = self.mounted_personalities[self.config['active_personality_id']]
ASCIIColors.success("Personality set successfully")
else:
ASCIIColors.error("Failed to set personality. Please select a valid one")
def _run(self):
self._rebuild_model()
self._rebuild_personalities()
self.check_set_config_thread = threading.Thread(target=self._check_set_config_queue, args=())
print("Launching config verification thread")
self.check_set_config_thread.start()
self.check_cancel_thread = threading.Thread(target=self._check_cancel_queue, args=())
print("Launching cancel verification thread")
self.check_cancel_thread.start()
self._check_clear_thread = threading.Thread(target=self._check_clear_queue, args=())
print("Launching clear verification thread")
self._check_clear_thread.start()
if self.model_ready.value == 1:
# self.n_predict = 1
# self._generate("I",1)
print()
print("Ready to receive data")
else:
print("No model loaded. Waiting for new configuration instructions")
self.ready = True
ASCIIColors.blue(f"Your personal data is stored here :{self.lollms_paths.personal_path}")
ASCIIColors.blue(f"Listening on :http://{self.config['host']}:{self.config['port']}")
while True:
try:
if not self.generate_queue.empty():
command = self.generate_queue.get()
if command is not None:
if self.cancel_queue.empty() and self.clear_queue_queue.empty():
self.id=command[2]
self.n_predict=command[3]
if self.personality.processor is not None:
if self.personality.processor_cfg is not None:
if "custom_workflow" in self.personality.processor_cfg:
if self.personality.processor_cfg["custom_workflow"]:
ASCIIColors.success("Running workflow")
self.completion_signal.clear()
self.start_signal.set()
output = self.personality.processor.run_workflow( command[1], command[0], self._callback)
self._callback(output, 0)
self.completion_signal.set()
self.start_signal.clear()
print("Finished executing the workflow")
continue
self.start_signal.set()
self.completion_signal.clear()
self._generate(command[0], self.n_predict, self._callback)
self.completion_signal.set()
self.start_signal.clear()
print("Finished executing the generation")
except Exception as ex:
print("Couldn't start generation")
print(ex)
time.sleep(1)
def _generate(self, prompt, n_predict=50, callback=None):
self.curent_text = ""
if self.model is not None:
ASCIIColors.info("warmup")
self.id = self.id
if self.config["override_personality_model_parameters"]:
output = self.model.generate(
prompt,
callback=callback,
n_predict=n_predict,
temperature=self.config['temperature'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty=self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
seed=self.config['seed'],
n_threads=self.config['n_threads']
)
else:
output = self.model.generate(
prompt,
callback=callback,
n_predict=self.n_predict,
temperature=self.personality.model_temperature,
top_k=self.personality.model_top_k,
top_p=self.personality.model_top_p,
repeat_penalty=self.personality.model_repeat_penalty,
repeat_last_n = self.personality.model_repeat_last_n,
#seed=self.config['seed'],
n_threads=self.config['n_threads']
)
else:
print("No model is installed or selected. Please make sure to install a model and select it inside your configuration before attempting to communicate with the model.")
print("To do this: Install the model to your models/<binding name> folder.")
print("Then set your model information in your local configuration file that you can find in configs/local_config.yaml")
print("You can also use the ui to set your model in the settings page.")
output = ""
return output
def _callback(self, text, text_type=0):
self.curent_text += text
detected_anti_prompt = False
anti_prompt_to_remove=""
for prompt in self.personality.anti_prompts:
if prompt.lower() in self.curent_text.lower():
detected_anti_prompt=True
anti_prompt_to_remove = prompt.lower()
if not detected_anti_prompt:
if not self.ready:
return True
else:
# Stream the generated text to the main process
self.generation_queue.put((text,self.id, text_type))
# if stop generation is detected then stop
if not self.completion_signal.is_set():
return True
else:
return False
else:
self.curent_text = self.remove_text_from_string(self.curent_text, anti_prompt_to_remove)
print("The model is halucinating")
return False
def _check_cancel_queue(self):
while True:
command = self.cancel_queue.get()
if command is not None:
self._cancel_generation()
print("Stop generation received")
def _check_clear_queue(self):
while True:
command = self.clear_queue_queue.get()
if command is not None:
self._clear_queue()
print("Clear received")
def _check_set_config_queue(self):
while True:
config = self.set_config_queue.get()
if config is not None:
print("Inference process : Setting configuration")
self.reset_config_result()
self._set_config(config)
self.set_config_result_queue.put(self._set_config_result)
def _cancel_generation(self):
self.completion_signal.set()
def _clear_queue(self):
while not self.generate_queue.empty():
self.generate_queue.get()
def _set_config(self, config):
bk_cfg = self.config
self.config = config
ASCIIColors.info("Upgrading configuration...",end="")
# verify that the binding is the same
if self.config["binding_name"]!=bk_cfg["binding_name"] or self.config["model_name"]!=bk_cfg["model_name"]:
self._rebuild_model()
# verify that the personality is the same
if not compare_lists(self.config["personalities"], bk_cfg["personalities"]):
self._rebuild_personalities()
class LoLLMsAPPI():
def __init__(self, config:LOLLMSConfig, socketio, config_file_path:str, lollms_paths: LollmsPaths) -> None:
self.lollms_paths = lollms_paths
self.config = config
self.is_ready = True
self.menu = MainMenu(self)
self.socketio = socketio
#Create and launch the process
self.process = ModelProcess(self.lollms_paths, config)
self.binding = self.process.rebuild_binding(self.config)
# Check model
if config.binding_name is None:
self.menu.select_model()
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
# Check model
if config.model_name is None:
self.menu.select_model()
self.menu.select_model()
self.model = self.binding.build_model()
self.mounted_personalities = self.process.rebuild_personalities()
self.mounted_personalities = []
self.mounted_personalities = self.rebuild_personalities()
if self.config["active_personality_id"]<len(self.mounted_personalities):
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
self.personality:AIPersonality = self.mounted_personalities[self.config["active_personality_id"]]
else:
self.personality = None
self.personality:AIPersonality = None
if config["debug"]:
print(print(f"{self.personality}"))
self.config_file_path = config_file_path
@ -587,7 +201,7 @@ class LoLLMsAPPI():
@socketio.on('generate_msg')
def generate_msg(data):
self.current_room_id = request.sid
if self.process.model_ready.value==1:
if self.is_ready:
if self.current_discussion is None:
if self.db.does_last_discussion_have_messages():
self.current_discussion = self.db.create_discussion()
@ -603,9 +217,15 @@ class LoLLMsAPPI():
self.current_user_message_id = message_id
ASCIIColors.green("Starting message generation by"+self.personality.name)
tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
tpe.start()
task = self.socketio.start_background_task(self.start_message_generation, message, message_id)
#tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
#tpe.start()
else:
self.socketio.emit("buzzy", {"message":"I am buzzy. Come back later."}, room=self.current_room_id)
self.socketio.sleep(0)
ASCIIColors.warning(f"OOps request {self.current_room_id} refused!! Server buzy")
self.socketio.emit('infos',
{
"status":'model_not_ready',
@ -624,6 +244,7 @@ class LoLLMsAPPI():
'finished_generating_at': self.current_discussion.current_message_finished_generating_at,
}, room=self.current_room_id
)
self.socketio.sleep(0)
@socketio.on('generate_msg_from')
def handle_connection(data):
@ -634,9 +255,44 @@ class LoLLMsAPPI():
tpe.start()
# generation status
self.generating=False
self.process.start()
ASCIIColors.blue(f"Your personal data is stored here :{self.lollms_paths.personal_path}")
ASCIIColors.blue(f"Listening on :http://{self.config['host']}:{self.config['port']}")
def rebuild_personalities(self):
loaded = self.mounted_personalities
loaded_names = [p.personality_folder_name for p in loaded]
mounted_personalities=[]
ASCIIColors.success(f" ╔══════════════════════════════════════════════════╗ ")
ASCIIColors.success(f" ║ Building mounted Personalities ║ ")
ASCIIColors.success(f" ╚══════════════════════════════════════════════════╝ ")
for i,personality in enumerate(self.config['personalities']):
if personality in loaded_names:
mounted_personalities.append(loaded[loaded_names.index(personality)])
else:
try:
personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
if i==self.config["active_personality_id"]:
ASCIIColors.red("*", end="")
print(f" {personality}")
print(f"Loading from {personality_path}")
personality = AIPersonality(personality_path,
self.lollms_paths,
self.config,
run_scripts=False)
mounted_personalities.append(personality)
except Exception as ex:
ASCIIColors.error(f"Personality file not found or is corrupted ({personality_path}).\nPlease verify that the personality you have selected exists or select another personality. Some updates may lead to change in personality name or category, so check the personality selection in settings to be sure.")
if self.config["debug"]:
print(ex)
personality = AIPersonality(self.lollms_paths)
print(f'selected : {self.config["active_personality_id"]}')
ASCIIColors.success(f" ╔══════════════════════════════════════════════════╗ ")
ASCIIColors.success(f" ║ Done ║ ")
ASCIIColors.success(f" ╚══════════════════════════════════════════════════╝ ")
return mounted_personalities
#properties
@property
def message_id(self):
@ -672,6 +328,8 @@ class LoLLMsAPPI():
ASCIIColors.error(f"{self.config.get_model_path_infos()}")
print("Please select a valid model or install a new one from a url")
self.menu.select_model()
def load_model(self):
try:
print("update_settings : New model selected")
@ -765,7 +423,7 @@ class LoLLMsAPPI():
return message_id
def prepare_reception(self):
self.bot_says = ""
self.current_generated_text = ""
self.full_text = ""
self.is_bot_text_started = False
@ -828,7 +486,24 @@ class LoLLMsAPPI():
return discussion_messages # Removes the last return
def remove_text_from_string(self, string, text_to_find):
"""
Removes everything from the first occurrence of the specified text in the string (case-insensitive).
Parameters:
string (str): The original string.
text_to_find (str): The text to find in the string.
Returns:
str: The updated string.
"""
index = string.lower().find(text_to_find.lower())
if index != -1:
string = string[:index]
return string
def process_chunk(self, chunk, message_type:MSG_TYPE):
"""
0 : a regular message
@ -836,29 +511,125 @@ class LoLLMsAPPI():
2 : A hidden message
"""
if message_type == MSG_TYPE.MSG_TYPE_CHUNK:
self.bot_says += chunk
if message_type == MSG_TYPE.MSG_TYPE_FULL:
self.bot_says = chunk
if message_type.value < 2:
ASCIIColors.green(f"generated:{len(self.bot_says)} words", end='\r')
self.current_generated_text += chunk
detected_anti_prompt = False
anti_prompt_to_remove=""
for prompt in self.personality.anti_prompts:
if prompt.lower() in self.current_generated_text.lower():
detected_anti_prompt=True
anti_prompt_to_remove = prompt.lower()
if not detected_anti_prompt:
ASCIIColors.green(f"generated:{len(self.current_generated_text)} words", end='\r')
self.socketio.emit('message', {
'data': self.current_generated_text,
'user_message_id':self.current_user_message_id,
'ai_message_id':self.current_ai_message_id,
'discussion_id':self.current_discussion.discussion_id,
'message_type': message_type.value
}, room=self.current_room_id
)
self.current_discussion.update_message(self.current_ai_message_id, self.current_generated_text)
if self.cancel_gen:
ASCIIColors.warning("Generation canceled")
self.cancel_gen = False
# if stop generation is detected then stop
if not self.cancel_gen:
return True
else:
return False
else:
self.current_generated_text = self.remove_text_from_string(self.current_generated_text, anti_prompt_to_remove)
print("The model is halucinating")
return False
# Stream the generated text to the main process
elif message_type == MSG_TYPE.MSG_TYPE_FULL:
self.current_generated_text = chunk
self.socketio.emit('message', {
'data': self.bot_says,
'data': self.current_generated_text,
'user_message_id':self.current_user_message_id,
'ai_message_id':self.current_ai_message_id,
'discussion_id':self.current_discussion.discussion_id,
'message_type': message_type.value
}, room=self.current_room_id
)
return True
# Stream the generated text to the main process
else:
self.socketio.emit('message', {
'data': self.current_generated_text,
'user_message_id':self.current_user_message_id,
'ai_message_id':self.current_ai_message_id,
'discussion_id':self.current_discussion.discussion_id,
'message_type': message_type.value
}, room=self.current_room_id
)
if self.cancel_gen:
ASCIIColors.warning("Generation canceled")
self.process.cancel_generation()
self.cancel_gen = False
self.current_discussion.update_message(self.current_ai_message_id, self.bot_says)
return True
def generate(self, full_prompt, prompt, n_predict=50, callback=None):
if self.personality.processor is not None:
if self.personality.processor_cfg is not None:
if "custom_workflow" in self.personality.processor_cfg:
if self.personality.processor_cfg["custom_workflow"]:
ASCIIColors.success("Running workflow")
self.completion_signal.clear()
self.start_signal.set()
output = self.personality.processor.run_workflow( prompt, full_prompt, self.process_chunk)
self._callback(output, 0)
self.completion_signal.set()
self.start_signal.clear()
print("Finished executing the workflow")
return
self._generate(full_prompt, n_predict, callback)
print("Finished executing the generation")
def _generate(self, prompt, n_predict=50, callback=None):
self.current_generated_text = ""
if self.model is not None:
ASCIIColors.info("warmup")
if self.config["override_personality_model_parameters"]:
output = self.model.generate(
prompt,
callback=callback,
n_predict=n_predict,
temperature=self.config['temperature'],
top_k=self.config['top_k'],
top_p=self.config['top_p'],
repeat_penalty=self.config['repeat_penalty'],
repeat_last_n = self.config['repeat_last_n'],
seed=self.config['seed'],
n_threads=self.config['n_threads']
)
else:
output = self.model.generate(
prompt,
callback=callback,
n_predict=self.personality.model_n_predicts,
temperature=self.personality.model_temperature,
top_k=self.personality.model_top_k,
top_p=self.personality.model_top_p,
repeat_penalty=self.personality.model_repeat_penalty,
repeat_last_n = self.personality.model_repeat_last_n,
#seed=self.config['seed'],
n_threads=self.config['n_threads']
)
else:
print("No model is installed or selected. Please make sure to install a model and select it inside your configuration before attempting to communicate with the model.")
print("To do this: Install the model to your models/<binding name> folder.")
print("Then set your model information in your local configuration file that you can find in configs/local_config.yaml")
print("You can also use the ui to set your model in the settings page.")
output = ""
return output
def start_message_generation(self, message, message_id):
bot_says = ""
ASCIIColors.info(f"Text generation requested by client: {self.current_room_id}")
# send the message to the bot
print(f"Received message : {message}")
if self.current_discussion:
@ -893,26 +664,18 @@ class LoLLMsAPPI():
self.discussion_messages, self.current_message = self.prepare_query(message_id)
self.prepare_reception()
self.generating = True
self.process.generate(self.discussion_messages, self.current_message, message_id, n_predict = self.config['n_predict'])
while(not self.process.completion_signal.is_set() or not self.process.generation_queue.empty()): # Simulating other commands being issued
try:
chunk, tok, message_type = self.process.generation_queue.get(False, 2)
if chunk!="":
self.process_chunk(chunk, message_type)
except Exception as ex:
time.sleep(0.1)
self.generate(self.discussion_messages, self.current_message, n_predict = self.config['n_predict'], callback=self.process_chunk)
print()
print("## Done Generation ##")
print()
self.current_discussion.update_message(self.current_ai_message_id, self.bot_says)
self.full_message_list.append(self.bot_says)
self.current_discussion.update_message(self.current_ai_message_id, self.current_generated_text)
self.full_message_list.append(self.current_generated_text)
self.cancel_gen = False
# Send final message
self.socketio.emit('final', {
'data': self.bot_says,
'data': self.current_generated_text,
'ai_message_id':self.current_ai_message_id,
'parent':self.current_user_message_id, 'discussion_id':self.current_discussion.discussion_id,
"status":'model_not_ready',
@ -920,7 +683,7 @@ class LoLLMsAPPI():
'logo': "",
"bot": self.personality.name,
"user": self.personality.user_name,
"message":self.bot_says,
"message":self.current_generated_text,
"user_message_id": self.current_user_message_id,
"ai_message_id": self.current_ai_message_id,

69
app.py
View File

@ -24,8 +24,11 @@ import sys
from tqdm import tqdm
import subprocess
import signal
from lollms.config import InstallOption
from lollms.binding import LOLLMSConfig, BindingBuilder, LLMBinding
from lollms.personality import AIPersonality, MSG_TYPE
from lollms.helpers import ASCIIColors, BaseConfig
from lollms.config import BaseConfig
from lollms.helpers import ASCIIColors
from lollms.paths import LollmsPaths
from api.db import DiscussionsDB, Discussion
from api.helpers import compare_lists
@ -44,7 +47,7 @@ import yaml
from geventwebsocket.handler import WebSocketHandler
import logging
import psutil
from lollms.binding import LOLLMSConfig
from lollms.main_config import LOLLMSConfig
log = logging.getLogger('werkzeug')
log.setLevel(logging.ERROR)
@ -72,6 +75,8 @@ class LoLLMsWebUI(LoLLMsAPPI):
self.app = _app
self.cancel_gen = False
self.binding_changed = False
self.model_changed = False
app.template_folder = "web/dist"
if config["active_personality_id"]>=len(config["personalities"]):
@ -464,18 +469,14 @@ class LoLLMsWebUI(LoLLMsAPPI):
elif setting_name== "model_name":
self.config["model_name"]=data['setting_value']
print("update_settings : New model selected")
self.model_changed = True
print("update_settings : New model selected")
elif setting_name== "binding_name":
if self.config['binding_name']!= data['setting_value']:
print(f"New binding selected : {data['setting_value']}")
self.config["binding_name"]=data['setting_value']
try:
self.binding = self.process.load_binding(self.config["binding_name"], install=True)
except Exception as ex:
print(f"Couldn't build binding: [{ex}]")
return jsonify({'setting_name': data['setting_name'], "status":False, 'error':str(ex)})
self.binding_changed = True
else:
if self.config["debug"]:
print(f"Configuration {data['setting_name']} set to {data['setting_value']}")
@ -496,13 +497,28 @@ class LoLLMsWebUI(LoLLMsAPPI):
def apply_settings(self):
result = self.process.set_config(self.config)
if result["status"]:
ASCIIColors.success("OK")
ASCIIColors.success("OK")
if self.binding_changed:
try:
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths)
try:
self.binding.build_model()
except Exception as ex:
print(f"Couldn't load model: [{ex}]")
return jsonify({ "status":False, 'error':str(ex)})
except Exception as ex:
print(f"Couldn't build binding: [{ex}]")
return jsonify({"status":False, 'error':str(ex)})
else:
ASCIIColors.error("NOK")
return jsonify(result)
if self.model_changed:
try:
self.binding.build_model()
except Exception as ex:
print(f"Couldn't load model: [{ex}]")
return jsonify({ "status":False, 'error':str(ex)})
self.rebuild_personalities()
return jsonify({"status":True})
@ -708,7 +724,7 @@ class LoLLMsWebUI(LoLLMsAPPI):
def get_generation_status(self):
return jsonify({"status":self.process.start_signal.is_set()})
return jsonify({"status":not self.is_ready})
def stop_gen(self):
self.cancel_gen = True
@ -754,9 +770,9 @@ class LoLLMsWebUI(LoLLMsAPPI):
except Exception as e:
print(f"Error occurred while parsing JSON: {e}")
return
print(f"- Reinstalling binding {data['name']}...",end="")
ASCIIColors.info(f"- Reinstalling binding {data['name']}...")
try:
self.binding = self.process.load_binding(self.config["binding_name"], install=True, force_install=True)
self.binding = BindingBuilder().build_binding(self.config, self.lollms_paths, InstallOption.FORCE_INSTALL)
return jsonify({"status": True})
except Exception as ex:
print(f"Couldn't build binding: [{ex}]")
@ -783,7 +799,7 @@ class LoLLMsWebUI(LoLLMsAPPI):
config_file = package_full_path / "config.yaml"
if config_file.exists():
self.config["personalities"].append(package_path)
self.mounted_personalities = self.process.rebuild_personalities()
self.mounted_personalities = self.rebuild_personalities()
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
self.apply_settings()
ASCIIColors.success("ok")
@ -813,11 +829,11 @@ class LoLLMsWebUI(LoLLMsAPPI):
if self.config["active_personality_id"]>=index:
self.config["active_personality_id"]=0
if len(self.config["personalities"])>0:
self.mounted_personalities = self.process.rebuild_personalities()
self.mounted_personalities = self.rebuild_personalities()
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
else:
self.personalities = ["english/generic/lollms"]
self.mounted_personalities = self.process.rebuild_personalities()
self.mounted_personalities = self.rebuild_personalities()
self.personality = self.mounted_personalities[self.config["active_personality_id"]]
self.apply_settings()
ASCIIColors.success("ok")
@ -1249,18 +1265,19 @@ if __name__ == "__main__":
print("WebSocket error:", e)
super().handle_error(environ, start_response, e)
url = f'http://{config["host"]}:{config["port"]}'
print(f"Please open your browser and go to {url} to view the ui")
# chong -add socket server
app.config['debug'] = config["debug"]
if config["debug"]:
print("debug mode:true")
ASCIIColors.info("debug mode:true")
else:
print("debug mode:false")
ASCIIColors.info("debug mode:false")
url = f'http://{config["host"]}:{config["port"]}'
print(f"Please open your browser and go to {url} to view the ui")
socketio.run(app, host=config["host"], port=config["port"])
# http_server = WSGIServer((config["host"], config["port"]), app, handler_class=WebSocketHandler)
# http_server.serve_forever()

View File

@ -7,7 +7,7 @@ pyyaml
markdown
gevent
gevent-websocket
lollms==1.2.12
lollms
langchain
requests
websocket-client

View File

@ -1,13 +1,14 @@
<template>
<div v-if="show" class="fixed top-0 left-0 right-0 bottom-0 flex items-center justify-center bg-black bg-opacity-50 p-4">
<div class="relative w-full max-w-md">
<div v-if="show"
class="fixed top-0 left-0 right-0 bottom-0 flex items-center justify-center bg-black bg-opacity-50 p-4">
<div class="relative w-full max-w-md ">
<div
class="flex flex-col mb-2 p-3 rounded-lg bg-bg-light-tone-panel dark:bg-bg-dark-tone-panel duration-150 shadow-lg h-screen no-scrollbar overflow-auto ">
<div class="flex flex-row flex-grow items-center mb-2">
class="flex flex-col rounded-lg bg-bg-light-tone-panel dark:bg-bg-dark-tone-panel duration-150 shadow-lg max-h-screen">
<div class="flex flex-row flex-grow items-center m-2 p-1">
<div class="grow flex items-center">
<i data-feather="sliders" class="mr-2 flex-shrink-0"></i>
<h3 class="text-lg font-semibold cursor-pointer select-none mr-2">
<h3 class="text-lg font-semibold select-none mr-2">
{{ title }}</h3>
</div>
@ -15,7 +16,7 @@
<!-- CLOSE BUTTON -->
<div class="items-end">
<button type="button" @click.stop="hide(false)" title="Close"
class=" text-gray-400 bg-transparent hover:bg-gray-200 hover:text-gray-900 rounded-lg text-sm p-1.5 ml-auto inline-flex items-center dark:hover:bg-gray-800 dark:hover:text-white">
class=" bg-transparent hover:bg-gray-200 hover:text-gray-900 rounded-lg text-sm p-1.5 ml-auto inline-flex items-center dark:hover:bg-gray-800 dark:hover:text-white">
<svg aria-hidden="true" class="w-5 h-5" fill="currentColor" viewBox="0 0 20 20"
xmlns="http://www.w3.org/2000/svg">
<path fill-rule="evenodd"
@ -27,32 +28,171 @@
</div>
</div>
<!-- FORM AREA -->
<div class="flex flex-col relative">
<div class="flex flex-col relative no-scrollbar overflow-y-scroll p-2">
<!-- odd:bg-bg-light-tone odd:dark:bg-bg-dark-tone even:bg-bg-light-tone-panel dark:even:bg-bg-dark-tone-panel -->
<div class="px-2 " v-for="(item, index) in controls_array">
<div class="mb-2 " v-for="(item, index) in controls_array">
<div v-if="item.type == 'str'">
<div v-if="!item.options">
<div class="mb-3">
<label class="block mb-2 text-sm font-medium text-gray-900 dark:text-white" for="file_input">
{{ item.name }}:
<label
class="mb-2 relative flex items-center gap-2 text-sm font-medium text-gray-900 dark:text-white select-none"
:class="item.help ? 'cursor-pointer ' : ''">
<!-- TITLE -->
<div class="text-base font-semibold">
{{ item.name }}:
</div>
<!-- HELP BUTTON -->
<label v-if="item.help" class="relative inline-flex">
<input type="checkbox" v-model="item.isHelp" class="sr-only peer">
<div
class="hover:text-secondary duration-75 active:scale-90 peer-checked:text-primary">
<i data-feather="help-circle" class="w-5 h-5 "></i>
</div>
</label>
</label>
<!-- HELP DESCRIPTION -->
<p v-if="item.isHelp" class="text-sm font-normal text-gray-700 dark:text-gray-400 mb-2">
{{ item.help }}
</p>
<input type="text" v-model="item.value"
class="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500"
placeholder="Enter string">
</div>
<div v-if="item.options">
<label
class="mb-2 relative flex items-center gap-2 text-sm font-medium text-gray-900 dark:text-white select-none"
:class="item.help ? 'cursor-pointer ' : ''">
<!-- TITLE -->
<div class="text-base font-semibold">
{{ item.name }}:
</div>
<!-- HELP BUTTON -->
<label v-if="item.help" class="relative inline-flex">
<input type="checkbox" v-model="item.isHelp" class="sr-only peer">
<div
class="hover:text-secondary duration-75 active:scale-90 peer-checked:text-primary">
<i data-feather="help-circle" class="w-5 h-5 "></i>
</div>
</label>
</label>
<!-- HELP DESCRIPTION -->
<p v-if="item.isHelp" class="text-sm font-normal text-gray-700 dark:text-gray-400 mb-2">
{{ item.help }}
</p>
<select v-model="item.value"
class="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500">
<option v-for="op in item.options" :value="op" :selected="item.value === op">{{
op
}}
</option>
</select>
</div>
</div>
<div v-if="item.type == 'int' || item.type == 'float'">
<label
class="mb-2 relative flex items-center gap-2 text-sm font-medium text-gray-900 dark:text-white select-none"
:class="item.help ? 'cursor-pointer ' : ''">
<!-- TITLE -->
<div class="text-base font-semibold">
{{ item.name }}:
</div>
<!-- HELP BUTTON -->
<label v-if="item.help" class="relative inline-flex">
<input type="checkbox" v-model="item.isHelp" class="sr-only peer">
<div class="hover:text-secondary duration-75 active:scale-90 peer-checked:text-primary">
<i data-feather="help-circle" class="w-5 h-5 "></i>
</div>
</label>
</label>
<!-- HELP DESCRIPTION -->
<p v-if="item.isHelp" class="text-sm font-normal text-gray-700 dark:text-gray-400 mb-2">
{{ item.help }}
</p>
<input type="text" v-model="item.value"
<input type="number" v-model="item.value"
class="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500"
placeholder="Enter value">
placeholder="Enter number">
<input v-if="(item.min != null && item.max != null)" type="range" v-model="item.value"
:min="item.min" :max="item.max" step="0.1"
class="flex-none h-2 w-full bg-gray-200 rounded-lg appearance-none cursor-pointer dark:bg-gray-700 focus:ring-blue-500 focus:border-blue-500 dark:border-gray-600 dark:placeholder-gray-400 dark:focus:ring-blue-500 dark:focus:border-blue-500">
</div>
<div v-if="item.type == 'bool'">
<div class="mb-2 relative flex items-center gap-2">
<label for="default-checkbox" class="text-base font-semibold">
{{ item.name }}:
</label>
<input type="checkbox" v-model="item.value"
class="w-4 h-4 text-blue-600 bg-gray-100 border-gray-300 rounded focus:ring-blue-500 dark:focus:ring-blue-600 dark:ring-offset-gray-800 focus:ring-2 dark:bg-gray-700 dark:border-gray-600">
<!-- HELP BUTTON -->
<label v-if="item.help" class="relative inline-flex">
<input type="checkbox" v-model="item.isHelp" class="sr-only peer">
<div class="hover:text-secondary duration-75 active:scale-90 peer-checked:text-primary">
<i data-feather="help-circle" class="w-5 h-5 "></i>
</div>
</label>
</div>
<!-- HELP DESCRIPTION -->
<p v-if="item.isHelp" class="text-sm font-normal text-gray-700 dark:text-gray-400 mb-2">
{{ item.help }}
</p>
</div>
<div v-if="item.type == 'list'">
<label
class="mb-2 relative flex items-center gap-2 text-sm font-medium text-gray-900 dark:text-white select-none"
:class="item.help ? 'cursor-pointer ' : ''">
<!-- TITLE -->
<div class="text-base font-semibold">
{{ item.name }}:
</div>
<!-- HELP BUTTON -->
<label v-if="item.help" class="relative inline-flex">
<input type="checkbox" v-model="item.isHelp" class="sr-only peer">
<div class="hover:text-secondary duration-75 active:scale-90 peer-checked:text-primary">
<i data-feather="help-circle" class="w-5 h-5 "></i>
</div>
</label>
</label>
<!-- HELP DESCRIPTION -->
<p v-if="item.isHelp" class="text-sm font-normal text-gray-700 dark:text-gray-400 mb-2">
{{ item.help }}
</p>
<input type="text" v-model="item.value"
class="bg-gray-50 border border-gray-300 text-gray-900 text-sm rounded-lg focus:ring-blue-500 focus:border-blue-500 block w-full p-2.5 dark:bg-gray-700 dark:border-gray-600 dark:placeholder-gray-400 dark:text-white dark:focus:ring-blue-500 dark:focus:border-blue-500"
placeholder="Enter comma separated values">
</div>
<hr class="h-px my-4 bg-gray-200 border-0 dark:bg-gray-700">
</div>
<!-- SUBMIT AND CANCEL BUTTONS -->
<div class="flex flex-row flex-grow gap-3">
<div class="p-2 text-center grow">
<button @click.stop="hide(true)" type="submit"
<button @click.stop="hide(true)" type="button"
class="mr-2 text-white bg-blue-700 hover:bg-blue-800 focus:ring-4 focus:outline-none focus:ring-blue-300 font-medium rounded-lg text-sm sm:w-auto px-5 py-2.5 text-center dark:bg-blue-600 dark:hover:bg-blue-700 dark:focus:ring-blue-800">
{{ ConfirmButtonText }}
</button>
@ -106,21 +246,34 @@ export default {
methods: {
hide(response) {
this.show = false;
if (this.resolve) {
this.resolve(response);
if(response){
this.resolve(this.controls_array);
this.resolve = null;
}
}
},
showForm(controls_array, title, ConfirmButtonText, DenyButtonText) {
this.ConfirmButtonText =ConfirmButtonText || this.ConfirmButtonText
this.DenyButtonText =DenyButtonText || this.DenyButtonText
return new Promise((resolve) => {
this.controls_array = controls_array;
this.show = true;
this.title=title || this.title
this.resolve = resolve;
});
},
this.ConfirmButtonText = ConfirmButtonText || this.ConfirmButtonText
this.DenyButtonText = DenyButtonText || this.DenyButtonText
//let moddedArr =[]
// add aditional values for UI
for (let i = 0; i < controls_array.length; i++) {
controls_array[i].isHelp = false
}
return new Promise((resolve) => {
this.controls_array = controls_array;
this.show = true;
this.title = title || this.title
this.resolve = resolve;
console.log('show foam', this.controls_array)
});
},
},
watch: {

View File

@ -1192,12 +1192,14 @@ export default {
},
onSettingsBinding() {
const arr = '[{"name":"Configuration 1","value":0,"type":"int","min":0,"max":100},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null},{"name":"Configuration 1.1","value":0,"type":"int","min":null,"max":null},{"name":"Configuration 2","value":"blabla","type":"str","min":null,"max":null}]'
const arr = '[{"name":"model_name","type":"str","value":"DreamShaper_5_beta2_noVae_half_pruned.ckpt", "help":"Name of the model to be loaded for stable diffusion generation"},{"name":"ddim_steps","type":"int","value":50, "min":10, "max":1024},{"name":"scale","type":"float","value":7.5, "min":0.1, "max":100.0},{"name":"W","type":"int","value":512, "min":10, "max":2048},{"name":"H","type":"int","value":512, "min":10, "max":2048},{"name":"skip_grid","type":"bool","value":true,"help":"Skip building a grid of generated images"},{"name":"batch_size","type":"int","value":1, "min":1, "max":100,"help":"Number of images per batch (requires more memory)"},{"name":"num_images","type":"int","value":1, "min":1, "max":100,"help":"Number of batch of images to generate (to speed up put a batch of n and a single num images, to save vram, put a batch of 1 and num_img of n)"},{"name":"seed","type":"int","value":-1}, {"name":"servers_addresses","type":"list","value":[], "help":"A list of server addresses for example [\'http://localhost:9601\', \'http://localhost:9602\']"},{"name":"keep_only_active_servers","type":"bool","value":true, "help":"If true, then only active servers will be kept in the loop"},{"name":"sampler_name","type":"str","value":"ddim","help":"Supported sampler names: ddim, dpms, plms", "options":["ddim","dpms","plms"]}]'
const arr2 = JSON.parse(arr)
//this.$refs.universalForm.showForm(arr2, "Baba booey form", "Go for torps", "go home") // disabled to not break UI just add endpoint or anything
const newItem = { name: "babagaga", value: ['lol', 'asdasd', 'hhhhhh'], type: 'list', help: 'smelly ' }
arr2.push(newItem)
// this.$refs.universalForm.showForm(arr2, "Baba booey form", "Go for torps", "go home").then(res => {
// console.log('finished', res)
// }) // disabled to not break UI just add endpoint or anything
},
// messagebox ok stuff
onMessageBoxOk() {