Skip to main content

Use ChatGPT to accelerator your research.

Project description

ChatResearch

pypi python version license precommit black Ruff

ChatResearch is a tool that uses OpenAI's GPT-3 to accelerate your research. It provides several features such as generating summary papers, fetching and summarizing papers from arxiv and bioarxiv, generating responses for review comments, and more.

Why ChatResearch?

Numerous projects and research endeavors have been undertaken in the realm of ChatGPT, yet none have met my specific requirements. As a result, I have resolved to create my own project, tailored to my personal preferences. I shall persist in refining and enhancing this project. Please do not hesitate to leave a star, and I am grateful for your support and ratings. I welcome any suggestions, proposals, and pull requests.

TODO

  • Multi thread and Asynchronous support
  • Add GIF for document
  • Use config to set key
  • Support output for Latex and PDF
  • Fine-tune prompt
  • Generate Image
  • Add RSS support for multiple journal
  • Revise help message
  • add classic paper as examples

Features

  • Chat Config: Generate chatre.toml in current working directory or set environment variable OPENAI_API_KEY.
  • Chat Paper: Fetch or summary paper from local or arxiv with specified query, research fields, and language.
  • Chat Biorxiv: Fetch and summary paper from bioarxiv with specified category, filter keys, and language.
  • Chat Reviewer: Generate summary paper with specified research fields and language.
  • Chat Response: Generate response for review comment with specified language.
  • Markdown, PDF, and Latex

Installation

$pip install chat-research

Usage

Chat Config

❯ chatre config

It will generate chatre.toml in current working directory. Otherwise, setting environment variable OPENAI_API_KEY is another way to config API KEY. Also, chatre config set OPENAI_API_KEY=sk-key will create configuration file in current file directory and set your key as sk-key.

[OpenAI]
OPENAI_API_KEYS = [ "sk-key1", "sk-key2",]

[Gitee]
api = "your_gitee_api"
owner = "your_gitee_name"
repo = "your_repo_name"
path = "files_name_in_your_repo"

Chat Paper

Chat Biorxiv

Chat Response

Chat Reviewer

> chatre reviewer -h
usage: chatre reviewer [-h] --paper-path  [--file-format] [--review-format] [--research-fields] [--language]

optional arguments:
  -h, --help          show this help message and exit
  --paper-path        path of papers
  --file-format       output file format (default: txt)
  --review-format     review format
  --research-fields   the research fields of paper (default: computer science, artificial intelligence and reinforcement learning)
  --language          output language, en or zh (default: en)

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributors

  • Yangyang Li

Alt

Acknowledgement

Project details


Download files

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

Source Distribution

chat_research-0.1.10.tar.gz (56.0 kB view details)

Uploaded Source

Built Distribution

chat_research-0.1.10-py3-none-any.whl (84.1 kB view details)

Uploaded Python 3

File details

Details for the file chat_research-0.1.10.tar.gz.

File metadata

  • Download URL: chat_research-0.1.10.tar.gz
  • Upload date:
  • Size: 56.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.16

File hashes

Hashes for chat_research-0.1.10.tar.gz
Algorithm Hash digest
SHA256 dcf7988075e82910996e85066dde818f0f443a27ab92d452ef319b8e3e88fdf2
MD5 a9ec3c97132944c3d04cf3426a6d917d
BLAKE2b-256 8a36d520b7b4940e0cba40effe6fdb323cf4074a3bd8f70474a8ac67b9463200

See more details on using hashes here.

File details

Details for the file chat_research-0.1.10-py3-none-any.whl.

File metadata

File hashes

Hashes for chat_research-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 96876aa8b9bf27bca279387d087fa08387c5a03e309b55b94acbccee8c281cc4
MD5 ba12c130efc85ea96987019e537a8368
BLAKE2b-256 3506df9f77dadc6deb618f863a0f3c1a0a77deaf688f8c8b4e83d9fec9d985ce

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