Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

Overview

keytotext

pypi Version Downloads Open In Colab Streamlit App API Call Docker Call HuggingFace Documentation Status Code style: black CodeFactor

keytotext

Idea is to build a model which will take keywords as inputs and generate sentences as outputs.

Potential use case can include:

  • Marketing
  • Search Engine Optimization
  • Topic generation etc.
  • Fine tuning of topic modeling models

Model:

Keytotext is based on the Amazing T5 Model: HuggingFace

  • k2t: Model
  • k2t-base: Model
  • mrm8488/t5-base-finetuned-common_gen (by Manuel Romero): Model

Training Notebooks can be found in the Training Notebooks Folder

Note: To add your own model to keytotext Please read Models Documentation

Usage:

Example usage: Open In Colab

Example Notebooks can be found in the Notebooks Folder

pip install keytotext

carbon (3)

Trainer:

Keytotext now has a trainer class than be used to train and finetune any T5 based model on new data. Updated Trainer docs here: Docs

Trainer example here: Open In Colab

from keytotext import trainer

carbon (6)

UI:

UI: Streamlit App

pip install streamlit-tags

This uses a custom streamlit component built by me: GitHub

image

API:

API: API Call Docker Call

The API is hosted in the Docker container and it can be run quickly. Follow instructions below to get started

docker pull gagan30/keytotext

docker run -dp 8000:8000 gagan30/keytotext

This will start the api at port 8000 visit the url below to get the results as below:

http://localhost:8000/api?data=["India","Capital","New Delhi"]

k2t_json

Note: The Hosted API is only available on demand

BibTex:

To quote keytotext please use this citation

@misc{bhatia, 
      title={keytotext},
      url={https://github.com/gagan3012/keytotext}, 
      journal={GitHub}, 
      author={Bhatia, Gagan}
}

References

Articles about keytotext:

Comments
  • ERROR: Could not find a version that satisfies the requirement keytotext (from versions: none)

    ERROR: Could not find a version that satisfies the requirement keytotext (from versions: none)

    Hi,

    I tried to install keytotext via pip install keytotext --upgrade in local machine.

    but came across the following :

    ERROR: Could not find a version that satisfies the requirement keytotext (from versions: none)
    ERROR: No matching distribution found for keytotext
    

    My pip version is the latest. However, the above works just fine in colab. Please guide me through the fix?

    opened by abhijithneilabraham 6
  • Add finetuning model to keytotext

    Add finetuning model to keytotext

    Is your feature request related to a problem? Please describe. Its difficult to use it without fine-tuning on new corpus so we need to build script to finetune it on new corpus

    enhancement good first issue 
    opened by gagan3012 2
  • "Oh no." ?

    "Error running app. If this keeps happening, please file an issue."

    Ok,...sure? I know nothing about this app.

    Just saw your tweet, clicked the link to this repo, then clicked the link on the side. Got that message. Now what?

    Chrome browser, Linux.

    opened by drscotthawley 2
  • Add Citations

    Add Citations

    Is your feature request related to a problem? Please describe. Inspirations: https://towardsdatascience.com/data-to-text-generation-with-t5-building-a-simple-yet-advanced-nlg-model-b5cce5a6df45

    Describe the solution you'd like A clear and concise description of what you want to happen.

    Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

    Additional context Add any other context or screenshots about the feature request here.

    opened by gagan3012 1
  • Adding new models to keytotext

    Adding new models to keytotext

    Is your feature request related to a problem? Please describe. Adding new models to keytotext: https://huggingface.co/mrm8488/t5-base-finetuned-common_gen

    Describe the solution you'd like A clear and concise description of what you want to happen.

    Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

    Additional context Add any other context or screenshots about the feature request here.

    enhancement good first issue 
    opened by gagan3012 1
  • Inference API for Keytotext

    Inference API for Keytotext

    Is your feature request related to a problem? Please describe. It is difficult to host the UI on streamlit without API

    Describe the solution you'd like Inference API

    enhancement good first issue 
    opened by gagan3012 1
  • Create Better UI

    Create Better UI

    Is your feature request related to a problem? Please describe. The current UI is not functional It needs to be fixed

    Describe the solution you'd like Better UI with a nicer design

    enhancement 
    opened by gagan3012 1
  • Add `st.cache` to load model

    Add `st.cache` to load model

    Hi @gagan3012,

    Johannes from the Streamlit team here :) I am currently investigating why apps run over the resource limits of Streamlit Sharing and saw that your app was affected in the past few days.

    Thought I'd send you a small PR which should fix this. You've already been on a good way with using st.cache but it gets even better if you use it once more to load the model. This makes sure the model and tokenizer are only loaded once, which should make the app consume less memory (and not run into resource limits again! Plus, I've seen that it also works a bit faster now ;).

    Hope this works for you and let me know if you have any other questions! 🎈

    Cheers, Johannes

    opened by jrieke 1
  • ValueError: transformers.models.auto.__spec__ is None

    ValueError: transformers.models.auto.__spec__ is None

    'from keytotext import pipeline'

    While running the above line, it is showing this error . "ValueError: transformers.models.auto.spec is None"

    opened by varunakk 0
  • Update README.md

    Update README.md

    Description

    Motivation and Context

    How Has This Been Tested?

    Screenshots (if appropriate):

    Types of changes

    • [ ] Bug fix (non-breaking change which fixes an issue)
    • [ ] New feature (non-breaking change which adds functionality)
    • [ ] Breaking change (fix or feature that would cause existing functionality to change)

    Checklist:

    • [ ] My code follows the code style of this project.
    • [ ] My change requires a change to the documentation.
    • [ ] I have updated the documentation accordingly.
    • [ ] I have read the CONTRIBUTING document.
    opened by gagan3012 0
  • Update trainer.py

    Update trainer.py

    Description

    Motivation and Context

    How Has This Been Tested?

    Screenshots (if appropriate):

    Types of changes

    • [ ] Bug fix (non-breaking change which fixes an issue)
    • [ ] New feature (non-breaking change which adds functionality)
    • [ ] Breaking change (fix or feature that would cause existing functionality to change)

    Checklist:

    • [ ] My code follows the code style of this project.
    • [ ] My change requires a change to the documentation.
    • [ ] I have updated the documentation accordingly.
    • [ ] I have read the CONTRIBUTING document.
    opened by gagan3012 0
  • Pipeline error on fresh install

    Pipeline error on fresh install

    Hi I'm getting this on a first run and fresh install

    Global seed set to 42 Traceback (most recent call last): File "C:\Users\skint\PycharmProjects\spacynd2\testdata.py", line 1, in <module> from keytotext import pipeline File "C:\Users\skint\venv\lib\site-packages\keytotext\__init__.py", line 11, in <module> from .dataset import make_dataset File "C:\Users\skint\venv\lib\site-packages\keytotext\dataset.py", line 1, in <module> from cv2 import randShuffle ModuleNotFoundError: No module named 'cv2'

    opened by skintflickz 0
  • New TypeError: __init__() got an unexpected keyword argument 'progress_bar_refresh_rate'

    New TypeError: __init__() got an unexpected keyword argument 'progress_bar_refresh_rate'

    I have imported the model and necessary libraries. I am getting the below error in google colab. I have used this model earlier also few months back and it was working fine. This is the new issue I am facing recently with the same code.


    TypeError: init() got an unexpected keyword argument 'progress_bar_refresh_rate'

    Imported libraries:

    !pip install keytotext --upgrade !sudo apt-get install git-lfs

    from keytotext import trainer

    Training Model:

    model = trainer() model.from_pretrained(model_name="t5-small") model.train(train_df=df_train_final, test_df=df_test, batch_size=3, max_epochs=5,use_gpu=True) model.save_model()

    Have attached error screenshot

    • OS: Windows
    • Browser Chrome Error
    opened by aishwaryapisal9 2
  • Update trainer.py

    Update trainer.py

    Delete progress_bar_refresh_rate in trainer.py

    Description

    delete progress_bar_refresh_rate=5, since this keyword argument is no longer supported by the latest version (1.7.0) of PyTorch.Lightning.Trainer module

    Motivation and Context

    having this argument fails the training process

    How Has This Been Tested?

    Ran key to text on the custom dataset before and after August 2nd, 2022. Changes in the new version of Pytorch Lightning's Trainer were put into effect on that date where the above argument was removed and hence, the custom training failed since that day.

    Screenshots (if appropriate):

    Types of changes

    • [x] Bug fix (non-breaking change which fixes an issue)
    • [ ] New feature (non-breaking change which adds functionality)
    • [ ] Breaking change (fix or feature that would cause existing functionality to change)

    Checklist:

    • [x] My code follows the code style of this project.
    • [x] My change requires a change to the documentation.
    • [ ] I have updated the documentation accordingly.
    • [ ] I have read the CONTRIBUTING document.
    opened by anath2110benten 0
  • Why is cv2 required?

    Why is cv2 required?

    https://github.com/gagan3012/keytotext/blob/6f807b940f5e2fdeb755ed085b40af7c0fa5e87e/keytotext/dataset.py#L1

    I'm using this framework to generate text from knowlege graph. Python interpreter keeps throwing "cv2 not installed" exception. Looks like the pip package doesn't contains cv2 as dependancy. I tried to delete this line in source code, the model works well. Is this line necessary for this project? Concerning about adding opencv to pip package? Thanks for your concern.

    opened by ChunxuYang 0
  • Hi, I notice that given the same input keywords, across different runs, the generated text are the same, even setting different seeds by 'pl.seed_everything(..)'.

    Hi, I notice that given the same input keywords, across different runs, the generated text are the same, even setting different seeds by 'pl.seed_everything(..)'.

    Is your feature request related to a problem? Please describe. A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]

    Describe the solution you'd like A clear and concise description of what you want to happen.

    Describe alternatives you've considered A clear and concise description of any alternative solutions or features you've considered.

    Additional context Add any other context or screenshots about the feature request here.

    opened by RuiFeiHe 6
Releases(v1.5.0)
Owner
Gagan Bhatia
Software Developer | Machine Learning Enthusiast
Gagan Bhatia
PIZZA - a task-oriented semantic parsing dataset

The PIZZA dataset continues the exploration of task-oriented parsing by introducing a new dataset for parsing pizza and drink orders, whose semantics cannot be captured by flat slots and intents.

17 Dec 14, 2022
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架,训练关于垂直领域语料的预训练语言模型,目的是提升下游任务的表现。 Pretraining Task Mask Language Model,简称Mask LM,即

Desmond Ng 24 Dec 10, 2022
Refactored version of FastSpeech2

Refactored version of FastSpeech2. An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

ILJI CHOI 10 May 26, 2022
A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型,适用于英语、普通话/中文、日语、韩语、俄语和藏语(当前已测试)。

简体中文 | English 并行语音合成 [TOC] 新进展 2021/04/20 合并 wavegan 分支到 main 主分支,删除 wavegan 分支! 2021/04/13 创建 encoder 分支用于开发语音风格迁移模块! 2021/04/13 softdtw 分支 支持使用 Sof

Atomicoo 161 Dec 19, 2022
[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev

UVA Computer Vision 86 Dec 28, 2022
This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 - treatments and vaccinations.

Project: Text Analysis - This project aims to conduct a text information retrieval and text mining on medical research publication regarding Covid19 -

1 Mar 14, 2022
AI-powered literature discovery and review engine for medical/scientific papers

AI-powered literature discovery and review engine for medical/scientific papers paperai is an AI-powered literature discovery and review engine for me

NeuML 819 Dec 30, 2022
Which Apple Keeps Which Doctor Away? Colorful Word Representations with Visual Oracles

Which Apple Keeps Which Doctor Away? Colorful Word Representations with Visual Oracles (TASLP 2022)

Zhuosheng Zhang 3 Apr 14, 2022
Spooky Skelly For Python

_____ _ _____ _ _ _ | __| ___ ___ ___ | |_ _ _ | __|| |_ ___ | || | _ _ |__ || . || . || . || '

Kur0R1uka 1 Dec 23, 2021
official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]

official ( API ) for the zAmericanEnglish app in [ Google play ] and [ App store ]

Plugin 3 Jan 12, 2022
Mesh TensorFlow: Model Parallelism Made Easier

Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying

1.3k Dec 26, 2022
CorNet Correlation Networks for Extreme Multi-label Text Classification

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

Guangxu Xun 38 Dec 31, 2022
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.

Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. C

Raphael Sourty 224 Nov 29, 2022
A CSRankings-like index for speech researchers

Speech Rankings This project mimics CSRankings to generate an ordered list of researchers in speech/spoken language processing along with their possib

Mutian He 19 Nov 26, 2022
NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

Code has been run on Google Colab, thanks Google for providing computational resources Contents Natural Language Processing(自然语言处理) Text Classificati

1.5k Nov 14, 2022
An implementation of the Pay Attention when Required transformer

Pay Attention when Required (PAR) Transformer-XL An implementation of the Pay Attention when Required transformer from the paper: https://arxiv.org/pd

7 Aug 11, 2022
This project consists of data analysis and data visualization (done using python)of all IPL seasons from 2008 to 2019 and answering the most asked questions about the IPL.

IPL-data-analysis This project consists of data analysis and data visualization of all IPL seasons from 2008 to 2019 and answering the most asked ques

Sivateja A T 2 Feb 08, 2022
【原神】自动演奏风物之诗琴的程序

疯物之诗琴 读取midi并自动演奏原神风物之诗琴。 可以自定义配置文件自动调整音符来适配风物之诗琴。 (原神1.4直播那天就开始做了!到现在才能放出来。。) 如何使用 在Release页面中下载打包好的程序和midi压缩包并解压。 双击运行“疯物之诗琴.exe”。 在原神中打开风物之诗琴,软件内输入

435 Jan 04, 2023
SDL: Synthetic Document Layout dataset

SDL is the project that synthesizes document images. It facilitates multiple-level labeling on document images and can generate in multiple languages.

Sơn Nguyễn 0 Oct 07, 2021