Skip to main content

Create a Python package.

Project description

image image image

🔥ChatLLM🔥


Install

pip install -U llm4gpt

Docs

Usages

from chatllm.his._qa import QA
from chatllm.his import FaissANN
from chatllm.his._chatllm import ChatLLM
from chatllm.utils import llm_load

from meutils.pipe import *

# 解析知识库
texts = []
metadatas = []
for p in Path('data').glob('*.txt'):
    texts.append(p.read_text())
    metadatas.append({'source': p})

# 文档向量化
faissann = FaissANN(model_name_or_path="shibing624/text2vec-base-chinese")
faissann.add_texts(texts, metadatas)

# 构建pipeline
model, tokenizer = llm_load(model_name_or_path="THUDM/chatglm-6b", device='cpu')
glm = ChatLLM()
glm.chat_func = partial(model.chat, tokenizer=tokenizer)

qa = QA(glm, faiss_ann=faissann.faiss_ann)

qa.get_knowledge_based_answer('周杰伦在干吗')
qa.get_knowledge_based_answer('姚明住哪里')

TODO

  • 增加UI

  • 增加本地知识库组件

  • 增加互联网搜索组件

  • 增加知识图谱组件

  • 增加微调模块

  • 增加流式输出

======= History

0.0.0 (2023-04-11)

  • First release on PyPI.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ChatLLM-2023.4.25.16.49.5.tar.gz (6.1 MB view details)

Uploaded Source

Built Distribution

ChatLLM-2023.4.25.16.49.5-py3-none-any.whl (22.4 kB view details)

Uploaded Python 3

File details

Details for the file ChatLLM-2023.4.25.16.49.5.tar.gz.

File metadata

  • Download URL: ChatLLM-2023.4.25.16.49.5.tar.gz
  • Upload date:
  • Size: 6.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.8.13

File hashes

Hashes for ChatLLM-2023.4.25.16.49.5.tar.gz
Algorithm Hash digest
SHA256 755f91e4d4f3c63e6f271c8e16dc851ea29ca0c9c7eab89f067db9d0092e8fc4
MD5 c4aafb3ee3aee751f3645930a28f277e
BLAKE2b-256 b6e087b92a68b09d646d77c366baa4c9dff80fd76ef1c9cf005243c05a11e0e8

See more details on using hashes here.

File details

Details for the file ChatLLM-2023.4.25.16.49.5-py3-none-any.whl.

File metadata

File hashes

Hashes for ChatLLM-2023.4.25.16.49.5-py3-none-any.whl
Algorithm Hash digest
SHA256 8b7261cf51b6039a7d120e42234bfc59db0c8841bacacfec197ea3538520d87d
MD5 5c124aba2fbbf1ece3913b332d231eee
BLAKE2b-256 e43ad497a86541743b392474f6267c0fa013d2811dab68b9927254f90ba91b25

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page