mirror of
https://github.com/ParisNeo/lollms-webui.git
synced 2024-12-23 14:22:22 +00:00
96 lines
3.4 KiB
Python
96 lines
3.4 KiB
Python
######
|
|
# Project : GPT4ALL-UI
|
|
# File : binding.py
|
|
# Author : ParisNeo with the help of the community
|
|
# Underlying binding : Abdeladim's pygptj binding
|
|
# Supported by Nomic-AI
|
|
# license : Apache 2.0
|
|
# Description :
|
|
# This is an interface class for GPT4All-ui bindings.
|
|
|
|
# This binding is a wrapper to abdeladim's binding
|
|
# Follow him on his github project : https://github.com/abdeladim-s/pygptj
|
|
|
|
######
|
|
from pathlib import Path
|
|
from typing import Callable
|
|
from pygptj.model import Model
|
|
from api.binding import LLMBinding
|
|
|
|
__author__ = "parisneo"
|
|
__github__ = "https://github.com/nomic-ai/gpt4all-ui"
|
|
__copyright__ = "Copyright 2023, "
|
|
__license__ = "Apache 2.0"
|
|
|
|
binding_name = "GptJ"
|
|
|
|
class GptJ(LLMBinding):
|
|
file_extension='*.bin'
|
|
def __init__(self, config:dict) -> None:
|
|
"""Builds a LLAMACPP binding
|
|
|
|
Args:
|
|
config (dict): The configuration file
|
|
"""
|
|
super().__init__(config, False)
|
|
|
|
self.model = Model(
|
|
model_path=f"./models/gpt_j/{self.config['model']}",
|
|
prompt_context="", prompt_prefix="", prompt_suffix=""
|
|
)
|
|
def tokenize(self, prompt):
|
|
"""
|
|
Tokenizes the given prompt using the model's tokenizer.
|
|
|
|
Args:
|
|
prompt (str): The input prompt to be tokenized.
|
|
|
|
Returns:
|
|
list: A list of tokens representing the tokenized prompt.
|
|
"""
|
|
return None
|
|
|
|
def detokenize(self, tokens_list):
|
|
"""
|
|
Detokenizes the given list of tokens using the model's tokenizer.
|
|
|
|
Args:
|
|
tokens_list (list): A list of tokens to be detokenized.
|
|
|
|
Returns:
|
|
str: The detokenized text as a string.
|
|
"""
|
|
return None
|
|
def generate(self,
|
|
prompt:str,
|
|
n_predict: int = 128,
|
|
new_text_callback: Callable[[str], None] = bool,
|
|
verbose: bool = False,
|
|
**gpt_params ):
|
|
"""Generates text out of a prompt
|
|
|
|
Args:
|
|
prompt (str): The prompt to use for generation
|
|
n_predict (int, optional): Number of tokens to prodict. Defaults to 128.
|
|
new_text_callback (Callable[[str], None], optional): A callback function that is called everytime a new text element is generated. Defaults to None.
|
|
verbose (bool, optional): If true, the code will spit many informations about the generation process. Defaults to False.
|
|
"""
|
|
try:
|
|
self.model.reset()
|
|
output = ""
|
|
for tok in self.model.generate(prompt,
|
|
n_predict=n_predict,
|
|
temp=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'],
|
|
n_threads=self.config['n_threads'],
|
|
):
|
|
output += tok
|
|
if new_text_callback is not None:
|
|
if not new_text_callback(tok):
|
|
return output
|
|
except Exception as ex:
|
|
print(ex)
|
|
return output |