mirror of
https://github.com/hpcaitech/ColossalAI.git
synced 2025-09-03 10:06:44 +00:00
[Feature] Add document retrieval QA (#5020)
* add langchain * add langchain * Add files via upload * add langchain * fix style * fix style: remove extra space * add pytest; modified retriever * add pytest; modified retriever * add tests to build_on_pr.yml * fix build_on_pr.yml * fix build on pr; fix environ vars * seperate unit tests for colossalqa from build from pr * fix container setting; fix environ vars * commented dev code * add incremental update * remove stale code * fix style * change to sha3 224 * fix retriever; fix style; add unit test for document loader * fix ci workflow config * fix ci workflow config * add set cuda visible device script in ci * fix doc string * fix style; update readme; refactored * add force log info * change build on pr, ignore colossalqa * fix docstring, captitalize all initial letters * fix indexing; fix text-splitter * remove debug code, update reference * reset previous commit * update LICENSE update README add key-value mode, fix bugs * add files back * revert force push * remove junk file * add test files * fix retriever bug, add intent classification * change conversation chain design * rewrite prompt and conversation chain * add ui v1 * ui v1 * fix atavar * add header * Refactor the RAG Code and support Pangu * Refactor the ColossalQA chain to Object-Oriented Programming and the UI demo. * resolved conversation. tested scripts under examples. web demo still buggy * fix ci tests * Some modifications to add ChatGPT api * modify llm.py and remove unnecessary files * Delete applications/ColossalQA/examples/ui/test_frontend_input.json * Remove OpenAI api key * add colossalqa * move files * move files * move files * move files * fix style * Add Readme and fix some bugs. * Add something to readme and modify some code * modify a directory name for clarity * remove redundant directory * Correct a type in llm.py * fix AI prefix * fix test_memory.py * fix conversation * fix some erros and typos * Fix a missing import in RAG_ChatBot.py * add colossalcloud LLM wrapper, correct issues in code review --------- Co-authored-by: YeAnbang <anbangy2@outlook.com> Co-authored-by: Orion-Zheng <zheng_zian@u.nus.edu> Co-authored-by: Zian(Andy) Zheng <62330719+Orion-Zheng@users.noreply.github.com> Co-authored-by: Orion-Zheng <zhengzian@u.nus.edu>
This commit is contained in:
YeAnbang
GitHub
125
applications/ColossalQA/colossalqa/local/colossalcloud_llm.py
Normal file
125
applications/ColossalQA/colossalqa/local/colossalcloud_llm.py
Normal file
@@ -0,0 +1,125 @@
|
||||
"""
|
||||
LLM wrapper for LLMs running on ColossalCloud Platform
|
||||
|
||||
Usage:
|
||||
|
||||
os.environ['URL'] = ""
|
||||
os.environ['HOST'] = ""
|
||||
|
||||
gen_config = {
|
||||
'max_new_tokens': 100,
|
||||
# 'top_k': 2,
|
||||
'top_p': 0.9,
|
||||
'temperature': 0.5,
|
||||
'repetition_penalty': 2,
|
||||
}
|
||||
|
||||
llm = ColossalCloudLLM(n=1)
|
||||
llm.set_auth_config()
|
||||
resp = llm(prompt='What do you call a three-ton kangaroo?', **gen_config)
|
||||
print(resp) # super-heavyweight awesome-natured yawning Australian creature!
|
||||
|
||||
"""
|
||||
import json
|
||||
from typing import Any, List, Mapping, Optional
|
||||
|
||||
import requests
|
||||
from langchain.llms.base import LLM
|
||||
from langchain.utils import get_from_dict_or_env
|
||||
|
||||
|
||||
class ColossalCloudLLM(LLM):
|
||||
"""
|
||||
A custom LLM class that integrates LLMs running on the ColossalCloud Platform
|
||||
|
||||
"""
|
||||
n: int
|
||||
gen_config: dict = None
|
||||
auth_config: dict = None
|
||||
valid_gen_para: list = ['max_new_tokens', 'top_k',
|
||||
'top_p', 'temperature', 'repetition_penalty']
|
||||
|
||||
def __init__(self, gen_config=None, **kwargs):
|
||||
"""
|
||||
Args:
|
||||
gen_config: config for generation,
|
||||
max_new_tokens: 50 by default
|
||||
top_k: (1, vocab_size)
|
||||
top_p: (0, 1) if not None
|
||||
temperature: (0, inf) if not None
|
||||
repetition_penalty: (1, inf) if not None
|
||||
"""
|
||||
super(ColossalCloudLLM, self).__init__(**kwargs)
|
||||
if gen_config is None:
|
||||
self.gen_config = {"max_new_tokens": 50}
|
||||
else:
|
||||
assert "max_new_tokens" in gen_config, "max_new_tokens is a compulsory key in the gen config"
|
||||
self.gen_config = gen_config
|
||||
|
||||
@property
|
||||
def _identifying_params(self) -> Mapping[str, Any]:
|
||||
"""Get the identifying parameters."""
|
||||
return {"n": self.n}
|
||||
|
||||
@property
|
||||
def _llm_type(self) -> str:
|
||||
return 'ColossalCloudLLM'
|
||||
|
||||
def set_auth_config(self, **kwargs):
|
||||
url = get_from_dict_or_env(kwargs, "url", "URL")
|
||||
host = get_from_dict_or_env(kwargs, "host", "HOST")
|
||||
|
||||
auth_config = {}
|
||||
auth_config['endpoint'] = url
|
||||
auth_config['Host'] = host
|
||||
self.auth_config = auth_config
|
||||
|
||||
def _call(self, prompt: str, stop=None, **kwargs: Any) -> str:
|
||||
"""
|
||||
Args:
|
||||
prompt: The prompt to pass into the model.
|
||||
stop: A list of strings to stop generation when encountered
|
||||
|
||||
Returns:
|
||||
The string generated by the model
|
||||
"""
|
||||
# Update the generation arguments
|
||||
for key, value in kwargs.items():
|
||||
if key not in self.valid_gen_para:
|
||||
raise KeyError(f"Invalid generation parameter: '{key}'. Valid keys are: {', '.join(self.valid_gen_para)}")
|
||||
if key in self.gen_config:
|
||||
self.gen_config[key] = value
|
||||
|
||||
resp_text = self.text_completion(prompt, self.gen_config, self.auth_config)
|
||||
# TODO: This may cause excessive tokens count
|
||||
if stop is not None:
|
||||
for stopping_words in stop:
|
||||
if stopping_words in resp_text:
|
||||
resp_text = resp_text.split(stopping_words)[0]
|
||||
return resp_text
|
||||
|
||||
|
||||
def text_completion(self, prompt, gen_config, auth_config):
|
||||
# Complusory Parameters
|
||||
endpoint = auth_config.pop('endpoint')
|
||||
max_new_tokens = gen_config.pop('max_new_tokens')
|
||||
# Optional Parameters
|
||||
optional_params = ['top_k', 'top_p', 'temperature', 'repetition_penalty'] # Self.optional
|
||||
gen_config = {key: gen_config[key] for key in optional_params if key in gen_config}
|
||||
# Define the data payload
|
||||
data = {
|
||||
"max_new_tokens": max_new_tokens,
|
||||
"history": [
|
||||
{"instruction": prompt, "response": ""}
|
||||
],
|
||||
**gen_config
|
||||
}
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
**auth_config # 'Host',
|
||||
}
|
||||
# Make the POST request
|
||||
response = requests.post(endpoint, headers=headers, data=json.dumps(data))
|
||||
response.raise_for_status() # raise error if return code is not 200(success)
|
||||
# Check the response
|
||||
return response.text
|
||||
Reference in New Issue
Block a user