Almost State-of-the-art Text Generation library

Related tags

Text Data & NLPpythontensorflowtext-analysistext-generationpytorchlstm-neural-networkstext-gen
Overview

Ps: we are adding transformer model soon

Text Gen 🐐

Downloads python tensorflow PyPI

Almost State-of-the-art Text Generation library

Text gen is a python library that allow you build a custom text generation model with ease 😄 Something sweet built with Tensorflow and Pytorch(coming soon) - This is the brain of Rosalove ai (https://rosalove.xyz/)

How to use it

Install text-gen

pip install -U text-gen

import the library

from text_gen import ten_textgen as ttg

Load your data. your data must be in a text format.

Download the example data from the example folder

load data

data = 'rl.csv'
text = ttg.loaddata(data)

build our Model Architeture

pipeline = ttg.tentext(text)
seq_text = pipeline.sequence(padding_method = 'pre')
configg = pipeline.configmodel(seq_text, lstmlayer = 128, activation = 'softmax', dropout = 0.25)

train model

model_history = pipeline.fit(loss = 'categorical_crossentropy', optimizer = 'adam', batch = 300, metrics = 'accuracy', epochs = 500, verbose = 0, patience = 10)

generate text using the phrase

pipeline.predict('hello love', word_length = 200, segment = True)

plot loss and accuracy

pipeline.plot_loss_accuracy()

Hyper parameter optimization

Tune your model to know the best optimizer, activation method to use.

pipeline.hyper_params(epochs = 500)
pipeline.saveModel('model')

use a saved model for prediction

#the corpus is the train text file
ttg.load_model_predict(corpus = corpus, padding_method = 'pre', modelname = '../input/model2/model2textgen.h5', sample_text = 'yo yo', word_length = 100)

Give us a star ⭐ 🐉

If you want to contribute, take a look at the issues and the Futurework.md file

Contributors

Comments
  • use pipenv for managing dependencies

    use pipenv for managing dependencies

    Consider using (pipenv)[https://pypi.org/project/pipenv/] to pin your dependencies. This would allow contributors to easily reproduce the project without messing up the dependencies and its also good on the long run for maintainability

    opened by paularah 1
  • [Snyk] Security upgrade pillow from 6.2.2 to 8.3.2

    [Snyk] Security upgrade pillow from 6.2.2 to 8.3.2

    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- high severity | 661/1000
    Why? Recently disclosed, Has a fix available, CVSS 7.5 | Regular Expression Denial of Service (ReDoS)
    SNYK-PYTHON-PILLOW-1319443 | pillow:
    6.2.2 -> 8.3.2
    | No | No Known Exploit

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.

    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic

    opened by snyk-bot 0
  • Read on how to create a simple python library

    Read on how to create a simple python library

    https://towardsdatascience.com/how-to-build-your-first-python-package-6a00b02635c9

    https://medium.com/analytics-vidhya/how-to-create-a-python-library-7d5aea80cc3f

    opened by Emekaborisama 0
  • [Snyk] Security upgrade wheel from 0.30.0 to 0.38.0

    [Snyk] Security upgrade wheel from 0.30.0 to 0.38.0

    This PR was automatically created by Snyk using the credentials of a real user.


    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt
    ⚠️ Warning 
    torchvision 0.5.0 requires pillow, which is not installed.
tensorflow 1.14.0 requires protobuf, which is not installed.
tensorflow-serving-api 1.12.0 requires protobuf, which is not installed.
tensorboard 1.14.0 requires protobuf, which is not installed.
GPyOpt 1.2.6 requires GPy, which is not installed.

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- medium severity | 551/1000
    Why? Recently disclosed, Has a fix available, CVSS 5.3 | Regular Expression Denial of Service (ReDoS)
    SNYK-PYTHON-WHEEL-3180413 | wheel:
    0.30.0 -> 0.38.0
    | No | No Known Exploit

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.

    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic

    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Regular Expression Denial of Service (ReDoS)

    opened by Emekaborisama 0
  • [Snyk] Security upgrade wheel from 0.30.0 to 0.38.0

    [Snyk] Security upgrade wheel from 0.30.0 to 0.38.0

    This PR was automatically created by Snyk using the credentials of a real user.


    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt
    ⚠️ Warning 
    torchvision 0.5.0 requires pillow, which is not installed.
tensorflow 1.14.0 requires grpcio, which is not installed.
tensorflow 1.14.0 requires protobuf, which is not installed.
tensorboard 1.14.0 requires protobuf, which is not installed.
tensorboard 1.14.0 requires grpcio, which is not installed.
parameter-sherpa 1.0.6 requires pymongo, which is not installed.
parameter-sherpa 1.0.6 requires GPyOpt, which is not installed.

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- medium severity | 551/1000
    Why? Recently disclosed, Has a fix available, CVSS 5.3 | Regular Expression Denial of Service (ReDoS)
    SNYK-PYTHON-WHEEL-3092128 | wheel:
    0.30.0 -> 0.38.0
    | No | No Known Exploit

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the affected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.

    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic

    Learn how to fix vulnerabilities with free interactive lessons:

    🦉 Regular Expression Denial of Service (ReDoS)

    opened by Emekaborisama 0
  • [Snyk] Fix for 23 vulnerabilities

    [Snyk] Fix for 23 vulnerabilities

    Snyk has created this PR to fix one or more vulnerable packages in the `pip` dependencies of this project.

    Changes included in this PR

    • Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
      • requirements.txt
    ⚠️ Warning 
    torchvision 0.5.0 requires pillow, which is not installed.
parameter-sherpa 1.0.6 requires scikit-learn, which is not installed.
GPy 1.10.0 requires paramz, which is not installed.
GPy 1.10.0 requires cython, which is not installed.
GPy 1.10.0 has requirement scipy<1.5.0,>=1.3.0, but you have scipy 1.2.3.

    Vulnerabilities that will be fixed

    By pinning:

    Severity | Priority Score (*) | Issue | Upgrade | Breaking Change | Exploit Maturity :-------------------------:|-------------------------|:-------------------------|:-------------------------|:-------------------------|:------------------------- high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-1055461 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-1055462 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 509/1000
    Why? Has a fix available, CVSS 5.9 | Out-of-bounds Write
    SNYK-PYTHON-PILLOW-1059090 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-1080635 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Regular Expression Denial of Service (ReDoS)
    SNYK-PYTHON-PILLOW-1080654 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1081494 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1081501 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1081502 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 654/1000
    Why? Has a fix available, CVSS 8.8 | Heap-based Buffer Overflow
    SNYK-PYTHON-PILLOW-1082329 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Insufficient Validation
    SNYK-PYTHON-PILLOW-1082750 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1090584 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1090586 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1090587 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Denial of Service (DoS)
    SNYK-PYTHON-PILLOW-1090588 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-1292150 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit high severity | 589/1000
    Why? Has a fix available, CVSS 7.5 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-1292151 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 566/1000
    Why? Recently disclosed, Has a fix available, CVSS 5.6 | Buffer Overflow
    SNYK-PYTHON-PILLOW-1316216 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 414/1000
    Why? Has a fix available, CVSS 4 | Out-of-Bounds
    SNYK-PYTHON-PILLOW-574573 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 414/1000
    Why? Has a fix available, CVSS 4 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-574574 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 414/1000
    Why? Has a fix available, CVSS 4 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-574575 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 414/1000
    Why? Has a fix available, CVSS 4 | Out-of-bounds Read
    SNYK-PYTHON-PILLOW-574576 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit medium severity | 469/1000
    Why? Has a fix available, CVSS 5.1 | Buffer Overflow
    SNYK-PYTHON-PILLOW-574577 | pillow:
    6.2.2 -> 8.1.0
    | No | No Known Exploit low severity | 506/1000
    Why? Proof of Concept exploit, Has a fix available, CVSS 3.7 | Regular Expression Denial of Service (ReDoS)
    SNYK-PYTHON-SCIKITLEARN-1079100 | scikit-learn:
    0.20.4 -> 0.24.2
    | No | Proof of Concept

    (*) Note that the real score may have changed since the PR was raised.

    Some vulnerabilities couldn't be fully fixed and so Snyk will still find them when the project is tested again. This may be because the vulnerability existed within more than one direct dependency, but not all of the effected dependencies could be upgraded.

    Check the changes in this PR to ensure they won't cause issues with your project.

    Note: You are seeing this because you or someone else with access to this repository has authorized Snyk to open fix PRs.

    For more information: 🧐 View latest project report

    🛠 Adjust project settings

    📚 Read more about Snyk's upgrade and patch logic

    opened by snyk-bot 0
Releases(v1.9.0)
Owner
Emeka boris ama
Machine Learning Engineer, Data Scientist, Youtuber and Advocacy
Emeka boris ama
GitHub Repository
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

NL-Augmenter 🦎 → 🐍 The NL-Augmenter is a collaborative effort intended to add transformations of datasets dealing with natural language. Transformat

684 Jan 09, 2023
A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN

artificial intelligence cosmic love and attention fire in the sky a pyramid made of ice a lonely house in the woods marriage in the mountains lantern

Phil Wang 2.3k Jan 01, 2023
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
Community and sentiment analysis based on tweets

The project has set itself the goal of analyzing the thoughts and interaction of Italian users through the social posts expressed through the Twitter platform on the day of the entry into force of th

3 Nov 17, 2022
Chinese Grammatical Error Diagnosis

nlp-CGED Chinese Grammatical Error Diagnosis 中文语法纠错研究 基于序列标注的方法 所需环境 Python==3.6 tensorflow==1.14.0 keras==2.3.1 bert4keras==0.10.6 笔者使用了开源的bert4keras

12 Nov 25, 2022
Mysticbbs-rjam - rJAM splitscreen message reader for MysticBBS A46+

rJAM splitscreen message reader for MysticBBS A46+

Robbert Langezaal 4 Nov 22, 2022
A programming language with logic of Python, and syntax of all languages.

Pytov The idea was to take all well known syntaxes, and combine them into one programming language with many posabilities. Installation Install using

Yuval Rosen 14 Dec 07, 2022
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples

SNCSE SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative Samples This is the repository for SNCSE. SNCSE aims to allev

Sense-GVT 59 Jan 02, 2023
Use the power of GPT3 to execute any function inside your programs just by giving some doctests

gptrun Don't feel like coding today? Use the power of GPT3 to execute any function inside your programs just by giving some doctests. How is this diff

Roberto Abdelkader Martínez Pérez 11 Nov 11, 2022
Awesome-NLP-Research (ANLP)

Awesome-NLP-Research (ANLP)

Language, Information, and Learning at Yale 72 Dec 19, 2022
This repository structures data in title, summary, tags, sentiment given a fragment of a conversation

Understand-conversation-AI This repository structures data in title, summary, tags, sentiment given a fragment of a conversation How to install: pip i

Juan Camilo López Montes 1 Jan 11, 2022
Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

Develop open-source Python Arabic NLP libraries that the Arab world will easily use in all Natural Language Processing applications

BADER ALABDAN 2 Oct 22, 2022
Beyond Paragraphs: NLP for Long Sequences

Beyond Paragraphs: NLP for Long Sequences

AI2 338 Dec 02, 2022
Text classification is one of the popular tasks in NLP that allows a program to classify free-text documents based on pre-defined classes.

Deep-Learning-for-Text-Document-Classification Text classification is one of the popular tasks in NLP that allows a program to classify free-text docu

Happy N. Monday 2 Mar 17, 2022
Chinese named entity recognization (bert/roberta/macbert/bert_wwm with Keras)

Chinese named entity recognization (bert/roberta/macbert/bert_wwm with Keras)

2 Jul 05, 2022
Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

Lightning ASR Modular and extensible speech recognition library leveraging pytorch-lightning and hydra What is Lightning ASR • Installation • Get Star

Soohwan Kim 40 Sep 19, 2022
Sorce code and datasets for "K-BERT: Enabling Language Representation with Knowledge Graph",

K-BERT Sorce code and datasets for "K-BERT: Enabling Language Representation with Knowledge Graph", which is implemented based on the UER framework. R

Weijie Liu 834 Jan 09, 2023
Search with BERT vectors in Solr and Elasticsearch

Search with BERT vectors in Solr and Elasticsearch

Dmitry Kan 123 Dec 29, 2022
Voilà turns Jupyter notebooks into standalone web applications

Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the

Voilà Dashboards 4.5k Jan 03, 2023
Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables

Mortgage-Application-Analysis Create a machine learning model which will predict if the mortgage will be approved or not based on 5 variables: age, in

1 Jan 29, 2022