mirror of
https://github.com/ParisNeo/lollms-webui.git
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82 lines
2.9 KiB
Python
82 lines
2.9 KiB
Python
######
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# Project : GPT4ALL-UI
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# File : backend.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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# Licence : Apache 2.0
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# Description :
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# This is an interface class for GPT4All-ui backends.
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######
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from pathlib import Path
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from typing import Callable
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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from pyGpt4All.backend import GPTBackend
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import torch
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import time
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__author__ = "parisneo"
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__github__ = "https://github.com/nomic-ai/gpt4all-ui"
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__copyright__ = "Copyright 2023, "
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__license__ = "Apache 2.0"
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backend_name = "HuggingFace"
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class HuggingFace(GPTBackend):
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file_extension='*'
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def __init__(self, config:dict) -> None:
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"""Builds a Hugging face backend
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Args:
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config (dict): The configuration file
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"""
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super().__init__(config, True)
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self.config = config
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path = self.config['model']
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self.model = AutoModelForCausalLM.from_pretrained(Path("models/hugging_face")/path, low_cpu_mem_usage=True)
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self.tokenizer = AutoTokenizer.from_pretrained(Path("models/hugging_face")/path)
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self.generator = pipeline(
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"text-generation",
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model=self.model,
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tokenizer=self.tokenizer,
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device=0, # Use GPU if available
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)
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def generate_callback(self, text, new_text_callback):
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def callback(outputs):
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generated_text = self.tokenizer.decode(outputs[0], skip_special_tokens=True)
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new_text_callback(generated_text)
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print(text + generated_text, end="\r")
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time.sleep(0.5)
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return callback
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def generate(self,
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prompt:str,
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n_predict: int = 128,
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new_text_callback: Callable[[str], None] = bool,
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verbose: bool = False,
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**gpt_params ):
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"""Generates text out of a prompt
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Args:
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prompt (str): The prompt to use for generation
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n_predict (int, optional): Number of tokens to prodict. Defaults to 128.
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new_text_callback (Callable[[str], None], optional): A callback function that is called everytime a new text element is generated. Defaults to None.
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verbose (bool, optional): If true, the code will spit many informations about the generation process. Defaults to False.
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"""
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callback = self.generate_callback(prompt, new_text_callback)
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outputs = self.generator(
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prompt,
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max_length=100,
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do_sample=True,
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num_beams=5,
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temperature=self.config['temp'],
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top_k=self.config['top_k'],
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top_p=self.config['top_p'],
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repetition_penalty=self.config['repeat_penalty'],
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repeat_last_n = self.config['repeat_last_n'],
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callback=callback
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)
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print(outputs) |