mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-19 12:27:52 +00:00
890 lines
38 KiB
Python
890 lines
38 KiB
Python
######
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# Project : lollms-webui
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# File : api.py
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# Author : ParisNeo with the help of the community
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# Supported by Nomic-AI
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# license : Apache 2.0
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# Description :
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# A simple api to communicate with lollms-webui and its models.
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######
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from flask import request
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from datetime import datetime
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from api.db import DiscussionsDB
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from api.helpers import compare_lists
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from pathlib import Path
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import importlib
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from lollms.personality import AIPersonality, MSG_TYPE
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from lollms.binding import LOLLMSConfig
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from lollms.paths import LollmsPaths
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from lollms.helpers import ASCIIColors
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import multiprocessing as mp
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import threading
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import time
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import requests
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from tqdm import tqdm
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import traceback
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import sys
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from lollms.console import MainMenu
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__author__ = "parisneo"
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__github__ = "https://github.com/ParisNeo/lollms-webui"
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__copyright__ = "Copyright 2023, "
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__license__ = "Apache 2.0"
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import subprocess
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import pkg_resources
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# ===========================================================
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# Manage automatic install scripts
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def is_package_installed(package_name):
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try:
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dist = pkg_resources.get_distribution(package_name)
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return True
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except pkg_resources.DistributionNotFound:
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return False
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def install_package(package_name):
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try:
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# Check if the package is already installed
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__import__(package_name)
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print(f"{package_name} is already installed.")
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except ImportError:
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print(f"{package_name} is not installed. Installing...")
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# Install the package using pip
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subprocess.check_call(["pip", "install", package_name])
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print(f"{package_name} has been successfully installed.")
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def parse_requirements_file(requirements_path):
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with open(requirements_path, 'r') as f:
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for line in f:
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line = line.strip()
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if not line or line.startswith('#'):
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# Skip empty and commented lines
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continue
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package_name, _, version_specifier = line.partition('==')
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package_name, _, version_specifier = line.partition('>=')
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if is_package_installed(package_name):
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# The package is already installed
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print(f"{package_name} is already installed.")
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else:
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# The package is not installed, install it
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if version_specifier:
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install_package(f"{package_name}{version_specifier}")
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else:
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install_package(package_name)
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# ===========================================================
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class ModelProcess:
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def __init__(self, lollms_paths:LollmsPaths, config:LOLLMSConfig=None):
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self.config = config
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self.lollms_paths = lollms_paths
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self.generate_queue = mp.Queue()
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self.generation_queue = mp.Queue()
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self.cancel_queue = mp.Queue(maxsize=1)
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self.clear_queue_queue = mp.Queue(maxsize=1)
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self.set_config_queue = mp.Queue(maxsize=1)
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self.set_config_result_queue = mp.Queue(maxsize=1)
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self.process = None
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# Create synchronization objects
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self.start_signal = mp.Event()
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self.completion_signal = mp.Event()
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self.model_ready = mp.Value('i', 0)
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self.curent_text = ""
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self.ready = False
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self.id=0
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self.n_predict=2048
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self.reset_config_result()
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def reset_config_result(self):
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self._set_config_result = {
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'status': True,
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'binding_status':True,
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'model_status':True,
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'personalities_status':True,
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'errors':[]
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}
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def remove_text_from_string(self, string, text_to_find):
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"""
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Removes everything from the first occurrence of the specified text in the string (case-insensitive).
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Parameters:
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string (str): The original string.
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text_to_find (str): The text to find in the string.
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Returns:
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str: The updated string.
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"""
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index = string.lower().find(text_to_find.lower())
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if index != -1:
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string = string[:index]
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return string
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def load_binding(self, binding_name:str, install=False):
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if install:
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print(f"Loading binding {binding_name} install ON")
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else:
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print(f"Loading binding : {binding_name} install is off")
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if binding_name is None:
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self.model
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binding_path = self.lollms_paths.bindings_zoo_path/binding_name
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if install:
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# first find out if there is a requirements.txt file
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install_file_name="install.py"
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install_script_path = binding_path / install_file_name
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if install_script_path.exists():
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module_name = install_file_name[:-3] # Remove the ".py" extension
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module_spec = importlib.util.spec_from_file_location(module_name, str(install_script_path))
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module = importlib.util.module_from_spec(module_spec)
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module_spec.loader.exec_module(module)
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if hasattr(module, "Install"):
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module.Install(self.config)
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# define the full absolute path to the module
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absolute_path = binding_path.resolve()
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# infer the module name from the file path
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module_name = binding_path.stem
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# use importlib to load the module from the file path
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loader = importlib.machinery.SourceFileLoader(module_name, str(absolute_path/"__init__.py"))
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binding_module = loader.load_module()
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binding_class = getattr(binding_module, binding_module.binding_name)
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return binding_class
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def start(self):
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if self.process is None:
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self.process = mp.Process(target=self._run)
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self.process.start()
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def stop(self):
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if self.process is not None:
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self.generate_queue.put(None)
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self.process.join()
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self.process = None
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def set_config(self, config):
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try:
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self.set_config_result_queue.get_nowait()
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except:
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pass
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self.set_config_queue.put(config)
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# Wait for it t o be consumed
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while self.set_config_result_queue.empty():
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time.sleep(0.1)
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return self.set_config_result_queue.get()
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def generate(self, full_prompt, prompt, id, n_predict):
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self.start_signal.clear()
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self.completion_signal.clear()
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self.generate_queue.put((full_prompt, prompt, id, n_predict))
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def cancel_generation(self):
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self.completion_signal.set()
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self.cancel_queue.put(('cancel',))
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ASCIIColors.error("Canel request received")
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def clear_queue(self):
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self.clear_queue_queue.put(('clear_queue',))
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def rebuild_binding(self, config):
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try:
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ASCIIColors.success(" ******************* Building Binding from main Process *************************")
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binding = self.load_binding(config["binding_name"], install=True)
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ASCIIColors.success("Binding loaded successfully")
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except Exception as ex:
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ASCIIColors.error("Couldn't build binding.")
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ASCIIColors.error("-----------------")
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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}")
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ASCIIColors.error("-----------------")
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binding = None
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return binding
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def _rebuild_model(self):
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try:
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self.reset_config_result()
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ASCIIColors.success(" ******************* Building Binding from generation Process *************************")
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self.binding = self.load_binding(self.config["binding_name"], install=True)
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ASCIIColors.success("Binding loaded successfully")
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try:
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model_file = self.lollms_paths.personal_models_path/self.config["binding_name"]/self.config["model_name"]
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print(f"Loading model : {model_file}")
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self.model = self.binding(self.config)
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self.model_ready.value = 1
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print("Model created successfully\n")
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except Exception as ex:
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if self.config["model_name"] is None:
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print("No model is selected.\nPlease select a backend and a model to start using the ui.")
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else:
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print(f"Couldn't build model {self.config['model_name']} : {ex}")
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self.model = None
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self._set_config_result['status'] ='failed'
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self._set_config_result['model_status'] ='failed'
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self._set_config_result['errors'].append(f"couldn't build model:{ex}")
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except Exception as ex:
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traceback.print_exc()
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print("Couldn't build model")
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print(ex)
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self.binding = None
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self.model = None
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self._set_config_result['status'] ='failed'
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self._set_config_result['binding_status'] ='failed'
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self._set_config_result['errors'].append(f"couldn't build binding:{ex}")
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def rebuild_personalities(self):
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mounted_personalities=[]
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ASCIIColors.success(f" ******************* Building mounted Personalities from main Process *************************")
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for i,personality in enumerate(self.config['personalities']):
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try:
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personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
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if i==self.config["active_personality_id"]:
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ASCIIColors.red("*", end="")
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print(f" {personality}")
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print(f"Loading from {personality_path}")
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personality = AIPersonality(self.lollms_paths, personality_path, run_scripts=False)
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mounted_personalities.append(personality)
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except Exception as ex:
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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.")
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if self.config["debug"]:
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print(ex)
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personality = AIPersonality(self.lollms_paths)
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print(f'selected : {self.config["active_personality_id"]}')
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ASCIIColors.success(f" ************ Personalities mounted (Main process) ***************************")
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return mounted_personalities
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def _rebuild_personalities(self):
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self.mounted_personalities=[]
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failed_personalities=[]
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self.reset_config_result()
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ASCIIColors.success(f" ******************* Building mounted Personalities from generation Process *************************")
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for i,personality in enumerate(self.config['personalities']):
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try:
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if i==self.config["active_personality_id"]:
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ASCIIColors.red("*", end="")
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print(f" {personality}")
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personality_path = self.lollms_paths.personalities_zoo_path/f"{personality}"
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personality = AIPersonality(self.lollms_paths, personality_path, run_scripts=True, model=self.model)
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self.mounted_personalities.append(personality)
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except Exception as ex:
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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.")
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ASCIIColors.error(f"Exception received is: {ex}")
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personality = AIPersonality(self.lollms_paths, model=self.model)
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failed_personalities.append(personality_path)
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self._set_config_result['errors'].append(f"couldn't build personalities:{ex}")
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print(f'selected : {self.config["active_personality_id"]}')
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ASCIIColors.success(f" ************ Personalities mounted (Generation process) ***************************")
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if len(failed_personalities)==len(self.config['personalities']):
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self._set_config_result['status'] ='failed'
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self._set_config_result['personalities_status'] ='failed'
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elif len(failed_personalities)>0:
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self._set_config_result['status'] ='semi_failed'
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self._set_config_result['personalities_status'] ='semi_failed'
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if self.config['active_personality_id']<len(self.mounted_personalities):
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self.personality = self.mounted_personalities[self.config['active_personality_id']]
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ASCIIColors.success("Personality set successfully")
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else:
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ASCIIColors.error("Failed to set personality. Please select a valid one")
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def _run(self):
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self._rebuild_model()
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self._rebuild_personalities()
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self.check_set_config_thread = threading.Thread(target=self._check_set_config_queue, args=())
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print("Launching config verification thread")
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self.check_set_config_thread.start()
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self.check_cancel_thread = threading.Thread(target=self._check_cancel_queue, args=())
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print("Launching cancel verification thread")
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self.check_cancel_thread.start()
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self._check_clear_thread = threading.Thread(target=self._check_clear_queue, args=())
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print("Launching clear verification thread")
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self._check_clear_thread.start()
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if self.model_ready.value == 1:
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# self.n_predict = 1
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# self._generate("I",1)
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print()
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print("Ready to receive data")
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else:
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print("No model loaded. Waiting for new configuration instructions")
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self.ready = True
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ASCIIColors.blue(f"Your personal data is stored here :{self.lollms_paths.personal_path}")
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ASCIIColors.blue(f"Listening on :http://{self.config['host']}:{self.config['port']}")
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while True:
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try:
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if not self.generate_queue.empty():
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command = self.generate_queue.get()
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if command is not None:
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if self.cancel_queue.empty() and self.clear_queue_queue.empty():
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self.id=command[2]
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self.n_predict=command[3]
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if self.personality.processor is not None:
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if self.personality.processor_cfg is not None:
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if "custom_workflow" in self.personality.processor_cfg:
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if self.personality.processor_cfg["custom_workflow"]:
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ASCIIColors.success("Running workflow")
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self.completion_signal.clear()
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self.start_signal.set()
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output = self.personality.processor.run_workflow( command[1], command[0], self._callback)
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self._callback(output, 0)
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self.completion_signal.set()
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self.start_signal.clear()
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print("Finished executing the workflow")
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continue
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self.start_signal.set()
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self.completion_signal.clear()
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self._generate(command[0], self.n_predict, self._callback)
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self.completion_signal.set()
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self.start_signal.clear()
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print("Finished executing the generation")
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except Exception as ex:
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print("Couldn't start generation")
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print(ex)
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time.sleep(1)
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def _generate(self, prompt, n_predict=50, callback=None):
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self.curent_text = ""
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if self.model is not None:
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print("Generating message...")
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self.id = self.id
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if self.config["override_personality_model_parameters"]:
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output = self.model.generate(
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prompt,
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callback=callback,
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n_predict=n_predict,
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temperature=self.config['temperature'],
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top_k=self.config['top_k'],
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top_p=self.config['top_p'],
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repeat_penalty=self.config['repeat_penalty'],
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repeat_last_n = self.config['repeat_last_n'],
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seed=self.config['seed'],
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n_threads=self.config['n_threads']
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)
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else:
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output = self.model.generate(
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prompt,
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callback=callback,
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n_predict=self.n_predict,
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temperature=self.personality.model_temperature,
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top_k=self.personality.model_top_k,
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top_p=self.personality.model_top_p,
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repeat_penalty=self.personality.model_repeat_penalty,
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repeat_last_n = self.personality.model_repeat_last_n,
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#seed=self.config['seed'],
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n_threads=self.config['n_threads']
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)
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else:
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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.")
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print("To do this: Install the model to your models/<binding name> folder.")
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print("Then set your model information in your local configuration file that you can find in configs/local_config.yaml")
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print("You can also use the ui to set your model in the settings page.")
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output = ""
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return output
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def _callback(self, text, text_type=0):
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self.curent_text += text
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detected_anti_prompt = False
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anti_prompt_to_remove=""
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for prompt in self.personality.anti_prompts:
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if prompt.lower() in self.curent_text.lower():
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detected_anti_prompt=True
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anti_prompt_to_remove = prompt.lower()
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if not detected_anti_prompt:
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if not self.ready:
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return True
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else:
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# Stream the generated text to the main process
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self.generation_queue.put((text,self.id, text_type))
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# if stop generation is detected then stop
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if not self.completion_signal.is_set():
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return True
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else:
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return False
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else:
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self.curent_text = self.remove_text_from_string(self.curent_text, anti_prompt_to_remove)
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print("The model is halucinating")
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return False
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def _check_cancel_queue(self):
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while True:
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command = self.cancel_queue.get()
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if command is not None:
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self._cancel_generation()
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print("Stop generation received")
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def _check_clear_queue(self):
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while True:
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command = self.clear_queue_queue.get()
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if command is not None:
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self._clear_queue()
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print("Clear received")
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|
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def _check_set_config_queue(self):
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while True:
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config = self.set_config_queue.get()
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if config is not None:
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print("Inference process : Setting configuration")
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self.reset_config_result()
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self._set_config(config)
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self.set_config_result_queue.put(self._set_config_result)
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|
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def _cancel_generation(self):
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self.completion_signal.set()
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def _clear_queue(self):
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while not self.generate_queue.empty():
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self.generate_queue.get()
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|
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def _set_config(self, config):
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bk_cfg = self.config
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self.config = config
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ASCIIColors.info("Upgrading configuration...",end="")
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|
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# verify that the binding is the same
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if self.config["binding_name"]!=bk_cfg["binding_name"] or self.config["model_name"]!=bk_cfg["model_name"]:
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self._rebuild_model()
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|
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# verify that the personality is the same
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if not compare_lists(self.config["personalities"], bk_cfg["personalities"]):
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self._rebuild_personalities()
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|
|
|
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class LoLLMsAPPI():
|
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def __init__(self, config:LOLLMSConfig, socketio, config_file_path:str, lollms_paths: LollmsPaths) -> None:
|
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self.lollms_paths = lollms_paths
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self.config = config
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|
self.menu = MainMenu(self)
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|
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# Check model
|
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if config.model_name is None:
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self.menu.select_model()
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|
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self.socketio = socketio
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#Create and launch the process
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self.process = ModelProcess(self.lollms_paths, config)
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self.binding = self.process.rebuild_binding(self.config)
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self.mounted_personalities = self.process.rebuild_personalities()
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if self.config["active_personality_id"]<len(self.mounted_personalities):
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self.personality = self.mounted_personalities[self.config["active_personality_id"]]
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else:
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self.personality = None
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if config["debug"]:
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print(print(f"{self.personality}"))
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self.config_file_path = config_file_path
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self.cancel_gen = False
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|
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# Keeping track of current discussion and message
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self.current_discussion = None
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|
self._current_user_message_id = 0
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self._current_ai_message_id = 0
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self._message_id = 0
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|
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self.db_path = config["db_path"]
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if Path(self.db_path).is_absolute():
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# Create database object
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|
self.db = DiscussionsDB(self.db_path)
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else:
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# Create database object
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self.db = DiscussionsDB(self.lollms_paths.personal_path/"databases"/self.db_path)
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|
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# If the database is empty, populate it with tables
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self.db.populate()
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|
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# This is used to keep track of messages
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self.full_message_list = []
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self.current_room_id = None
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# =========================================================================================
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# Socket IO stuff
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# =========================================================================================
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@socketio.on('connect')
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def connect():
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ASCIIColors.success(f'Client {request.sid} connected')
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|
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@socketio.on('disconnect')
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def disconnect():
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ASCIIColors.error(f'Client {request.sid} disconnected')
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|
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@socketio.on('install_model')
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def install_model(data):
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room_id = request.sid
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def install_model_():
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print("Install model triggered")
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model_path = data["path"]
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progress = 0
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installation_dir = self.lollms_paths.personal_models_path/self.config["binding_name"]
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filename = Path(model_path).name
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installation_path = installation_dir / filename
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print("Model install requested")
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print(f"Model path : {model_path}")
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|
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if installation_path.exists():
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print("Error: Model already exists")
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socketio.emit('install_progress',{'status': False, 'error': 'model already exists'}, room=room_id)
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socketio.emit('install_progress',{'status': 'progress', 'progress': progress}, room=room_id)
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def callback(progress):
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socketio.emit('install_progress',{'status': 'progress', 'progress': progress}, room=room_id)
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if hasattr(self.binding, "download_model"):
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self.binding.download_model(model_path, installation_path, callback)
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else:
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self.download_file(model_path, installation_path, callback)
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socketio.emit('install_progress',{'status': True, 'error': ''}, room=room_id)
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tpe = threading.Thread(target=install_model_, args=())
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tpe.start()
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|
|
|
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@socketio.on('uninstall_model')
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def uninstall_model(data):
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model_path = data['path']
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installation_dir = self.lollms_paths.personal_models_path/self.config["binding_name"]
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filename = Path(model_path).name
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installation_path = installation_dir / filename
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|
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if not installation_path.exists():
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socketio.emit('install_progress',{'status': False, 'error': 'The model does not exist'}, room=request.sid)
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|
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|
installation_path.unlink()
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|
socketio.emit('install_progress',{'status': True, 'error': ''}, room=request.sid)
|
|
|
|
|
|
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|
@socketio.on('generate_msg')
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|
def generate_msg(data):
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|
self.current_room_id = request.sid
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|
if self.process.model_ready.value==1:
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|
if self.current_discussion is None:
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|
if self.db.does_last_discussion_have_messages():
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self.current_discussion = self.db.create_discussion()
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else:
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|
self.current_discussion = self.db.load_last_discussion()
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|
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message = data["prompt"]
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message_id = self.current_discussion.add_message(
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"user", message, parent=self.message_id,model = self.config["model_name"],
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personality=self.config["personalities"][self.config["active_personality_id"]]
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)
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|
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self.current_user_message_id = message_id
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ASCIIColors.green("Starting message generation by"+self.personality.name)
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|
tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
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|
tpe.start()
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|
else:
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|
self.socketio.emit('infos',
|
|
{
|
|
"status":'model_not_ready',
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|
"type": "input_message_infos",
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|
'logo': "",
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|
"bot": self.personality.name,
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|
"user": self.personality.user_name,
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|
"message":"",
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|
"user_message_id": self.current_user_message_id,
|
|
"ai_message_id": self.current_ai_message_id,
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|
}, room=self.current_room_id
|
|
)
|
|
|
|
@socketio.on('generate_msg_from')
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|
def handle_connection(data):
|
|
message_id = int(data['id'])
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|
message = data["prompt"]
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|
self.current_user_message_id = message_id
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|
tpe = threading.Thread(target=self.start_message_generation, args=(message, message_id))
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|
tpe.start()
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|
# generation status
|
|
self.generating=False
|
|
self.process.start()
|
|
|
|
|
|
#properties
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|
@property
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|
def message_id(self):
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|
return self._message_id
|
|
|
|
@property
|
|
def current_user_message_id(self):
|
|
return self._current_user_message_id
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|
@current_user_message_id.setter
|
|
def current_user_message_id(self, id):
|
|
self._current_user_message_id=id
|
|
self._message_id = id
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|
@property
|
|
def current_ai_message_id(self):
|
|
return self._current_ai_message_id
|
|
@current_ai_message_id.setter
|
|
def current_ai_message_id(self, id):
|
|
self._current_ai_message_id=id
|
|
self._message_id = id
|
|
|
|
|
|
def load_model(self):
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|
try:
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|
print("update_settings : New model selected")
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|
if hasattr(self,"process"):
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|
result = self.process.set_config(self.config)
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|
if result["status"]:
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|
ASCIIColors.success("OK")
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|
else:
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|
ASCIIColors.error("NOK")
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|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't load model.Process returned exception : {ex}")
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|
ASCIIColors.error(f"Binding returned this exception : {ex}")
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|
ASCIIColors.error(f"{self.config.get_model_path_infos()}")
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|
print("Please select a valid model or install a new one from a url")
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|
self.menu.select_model()
|
|
|
|
|
|
def load_personality(self):
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|
try:
|
|
print("update_settings : New personality selected")
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|
if hasattr(self,"process"):
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|
result = self.process.set_config(self.config)
|
|
if result["status"]:
|
|
ASCIIColors.success("OK")
|
|
else:
|
|
ASCIIColors.error("NOK")
|
|
except Exception as ex:
|
|
ASCIIColors.error(f"Couldn't load personality. Please verify your configuration file at {self.configuration_path} or use the next menu to select a valid personality")
|
|
ASCIIColors.error(f"Binding returned this exception : {ex}")
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|
ASCIIColors.error(f"{self.config.get_personality_path_infos()}")
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|
print("Please select a valid model or install a new one from a url")
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|
self.menu.select_model()
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|
self.cond_tk = self.personality.model.tokenize(self.personality.personality_conditioning)
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|
self.n_cond_tk = len(self.cond_tk)
|
|
|
|
def download_file(self, url, installation_path, callback=None):
|
|
"""
|
|
Downloads a file from a URL, reports the download progress using a callback function, and displays a progress bar.
|
|
|
|
Args:
|
|
url (str): The URL of the file to download.
|
|
installation_path (str): The path where the file should be saved.
|
|
callback (function, optional): A callback function to be called during the download
|
|
with the progress percentage as an argument. Defaults to None.
|
|
"""
|
|
try:
|
|
response = requests.get(url, stream=True)
|
|
|
|
# Get the file size from the response headers
|
|
total_size = int(response.headers.get('content-length', 0))
|
|
|
|
with open(installation_path, 'wb') as file:
|
|
downloaded_size = 0
|
|
with tqdm(total=total_size, unit='B', unit_scale=True, ncols=80) as progress_bar:
|
|
for chunk in response.iter_content(chunk_size=8192):
|
|
if chunk:
|
|
file.write(chunk)
|
|
downloaded_size += len(chunk)
|
|
if callback is not None:
|
|
percentage = (downloaded_size / total_size) * 100
|
|
callback(percentage)
|
|
progress_bar.update(len(chunk))
|
|
|
|
if callback is not None:
|
|
callback(100.0)
|
|
|
|
print("File downloaded successfully")
|
|
except Exception as e:
|
|
print("Couldn't download file:", str(e))
|
|
|
|
|
|
|
|
def condition_chatbot(self):
|
|
if self.current_discussion is None:
|
|
self.current_discussion = self.db.load_last_discussion()
|
|
|
|
if self.personality.welcome_message!="":
|
|
message_id = self.current_discussion.add_message(
|
|
self.personality.name, self.personality.welcome_message,
|
|
DiscussionsDB.MSG_TYPE_NORMAL,
|
|
0,
|
|
-1,
|
|
binding= self.config["binding_name"],
|
|
model = self.config["model_name"],
|
|
personality=self.config["personalities"][self.config["active_personality_id"]]
|
|
)
|
|
|
|
self.current_ai_message_id = message_id
|
|
else:
|
|
message_id = 0
|
|
return message_id
|
|
|
|
def prepare_reception(self):
|
|
self.bot_says = ""
|
|
self.full_text = ""
|
|
self.is_bot_text_started = False
|
|
|
|
def create_new_discussion(self, title):
|
|
self.current_discussion = self.db.create_discussion(title)
|
|
# Get the current timestamp
|
|
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
|
|
|
|
# Chatbot conditionning
|
|
self.condition_chatbot()
|
|
return timestamp
|
|
|
|
def prepare_query(self, message_id=-1):
|
|
messages = self.current_discussion.get_messages()
|
|
self.full_message_list = []
|
|
for message in messages:
|
|
if message["id"]< message_id or message_id==-1:
|
|
if message["type"]==self.db.MSG_TYPE_NORMAL:
|
|
if message["sender"]==self.personality.name:
|
|
self.full_message_list.append(self.personality.ai_message_prefix+message["content"])
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix + message["content"])
|
|
else:
|
|
break
|
|
|
|
if self.personality.processor is not None:
|
|
preprocessed_prompt = self.personality.processor.process_model_input(message["content"])
|
|
else:
|
|
preprocessed_prompt = message["content"]
|
|
if preprocessed_prompt is not None:
|
|
self.full_message_list.append(self.personality.user_message_prefix+preprocessed_prompt+self.personality.link_text+self.personality.ai_message_prefix)
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix+message["content"]+self.personality.link_text+self.personality.ai_message_prefix)
|
|
|
|
|
|
link_text = self.personality.link_text
|
|
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list)
|
|
|
|
|
|
return discussion_messages, message["content"]
|
|
|
|
def get_discussion_to(self, message_id=-1):
|
|
messages = self.current_discussion.get_messages()
|
|
self.full_message_list = []
|
|
for message in messages:
|
|
if message["id"]<= message_id or message_id==-1:
|
|
if message["type"]!=self.db.MSG_TYPE_CONDITIONNING:
|
|
if message["sender"]==self.personality.name:
|
|
self.full_message_list.append(self.personality.ai_message_prefix+message["content"])
|
|
else:
|
|
self.full_message_list.append(self.personality.user_message_prefix + message["content"])
|
|
|
|
link_text = self.personality.link_text
|
|
|
|
if len(self.full_message_list) > self.config["nb_messages_to_remember"]:
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list[-self.config["nb_messages_to_remember"]:])
|
|
else:
|
|
discussion_messages = self.personality.personality_conditioning+ link_text.join(self.full_message_list)
|
|
|
|
return discussion_messages # Removes the last return
|
|
|
|
|
|
def process_chunk(self, chunk, message_type:MSG_TYPE):
|
|
"""
|
|
0 : a regular message
|
|
1 : a notification message
|
|
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:
|
|
self.socketio.emit('message', {
|
|
'data': self.bot_says,
|
|
'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:
|
|
print("Generation canceled")
|
|
self.process.cancel_generation()
|
|
self.cancel_gen = False
|
|
|
|
self.current_discussion.update_message(self.current_ai_message_id, self.bot_says)
|
|
|
|
def start_message_generation(self, message, message_id):
|
|
bot_says = ""
|
|
|
|
# send the message to the bot
|
|
print(f"Received message : {message}")
|
|
if self.current_discussion:
|
|
# First we need to send the new message ID to the client
|
|
self.current_ai_message_id = self.current_discussion.add_message(
|
|
self.personality.name, "", parent = self.current_user_message_id
|
|
) # first the content is empty, but we'll fill it at the end
|
|
self.socketio.emit('infos',
|
|
{
|
|
"status":'generation_started',
|
|
"type": "input_message_infos",
|
|
"bot": self.personality.name,
|
|
"user": self.personality.user_name,
|
|
"message":message,#markdown.markdown(message),
|
|
"user_message_id": self.current_user_message_id,
|
|
"ai_message_id": self.current_ai_message_id,
|
|
}, room=self.current_room_id
|
|
)
|
|
|
|
# prepare query and reception
|
|
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)
|
|
print(chunk, end="")
|
|
if chunk!="":
|
|
self.process_chunk(chunk, message_type)
|
|
except Exception as ex:
|
|
time.sleep(0.1)
|
|
|
|
print()
|
|
print("## Done Generation ##")
|
|
print()
|
|
|
|
# Send final message
|
|
self.socketio.emit('final', {
|
|
'data': self.bot_says,
|
|
'ai_message_id':self.current_ai_message_id,
|
|
'parent':self.current_user_message_id, 'discussion_id':self.current_discussion.discussion_id
|
|
}, room=self.current_room_id
|
|
)
|
|
|
|
self.current_discussion.update_message(self.current_ai_message_id, self.bot_says)
|
|
self.full_message_list.append(self.bot_says)
|
|
self.cancel_gen = False
|
|
print()
|
|
print("## Done ##")
|
|
print()
|
|
else:
|
|
#No discussion available
|
|
print("No discussion selected!!!")
|
|
print("## Done ##")
|
|
print()
|
|
self.cancel_gen = False
|
|
return ""
|
|
|