Generate product descriptions, blogs, ads and more using GPT architecture with a single request to TextCortex API a.k.a Hemingwai

Overview

TextCortex - HemingwAI

alt text

Generate product descriptions, blogs, ads and more using GPT architecture with a single request to TextCortex API a.k.a HemingwAI

How To Generate Content using TextCortex Hemingwai:

  1. Signup at https://textcortex.com
  2. Sign-in and click on account on top right.
  3. Go to API Key section and copy your key.
  4. Install textcortex package: pip install textcortex
  5. Enter your API Key to hemingwai
  6. Generate copy text with a single line of code!

Here is an example request to Hemingwai for generating Product Descriptions:

from textcortex import TextCortex

# Create the hemingwai object and enter your API Key
hemingwai = TextCortex(api_key='YOUR_API_KEY')

# Generate Product Descriptions using Hemingwai
product_description = hemingwai.generate_product_descriptions(
                    product_title='Black Backpack', product_category='Shoes & Bags', target_segment='',
                    source_language='en', character_count=300, creativity=0.7)
print(product_description)

Response:

    "ai_results": [
        {
            "generated_text": " This blue cotton duvet set will make your bedroom set, comfortable and stylish. The duvet cover set is made from soft polyester fabric with detailed embroidery. The duvet cover set has blue and silver floral embroidery details. The decorative pillows are decorated with black and silver embroidery. The duvet cover set is completed with coordinated Two shams, one in the same design. The duvet cover set is",
            "rank": 0.9533,
            "text_length": 407,
            "word_frequency": [
                {
                    "word": "cover",
                    "frequency": 4
                },
                {
                    "word": "embroidery",
                    "frequency": 3
                },
                {
                    "word": "duvet",
                    "frequency": 5
                },
                {
                    "word": "with",
                    "frequency": 3
                }
            ],
            "word_count": 67
        }...

What kind of texts are possible to generate?

Currently we support the following methods for generating copy text like the following:

# Generate Blog Articles:
hemingwai.generate_blog

# Autocomplete the rest using Hemingwai
hemingwai.generate

# Generate Ad copies using Hemingwai
hemingwai.generate_ads

# Generate Email Body using Hemingwai
hemingwai.generate_email_body

# Generate Email Subject using Hemingwai
hemingwai.generate_email_subject

# Generate Product Descriptions using Hemingwai
hemingwai.generate_product_descriptions

Parameters

There are some parameters that you need to send before making a request to Hemingwai.

Here is a brief summary of what those parameters:

prompt: Prompting the HemingwAI to start writing on a specific subject

creativity: Floating number between 0-1. 0 being the lowest creativity and 1 being the highest. Default is 0.7

character_length: Integer which defines the maximum amount of characters that can be produced by the HemingwAI

source_language: Language code of the source language of the written prompt. for example 'en' for English and 'de' for German. We support 72 languages. If you don't know the language code you can also use 'auto' for this field to automatically sense the input language.

target_segment: Used for setting the tone of the generated copy text. It can be basically anything but please keep it plausible :) Examples: Young people, middle aged people, young men, women, etc..

Still have questions?

You can have a look at the HemingwAI's documentation on TextCortex website

Or talk to us at the TextCortex Dev Community on slack

Maintainer/Creator

TextCortex Team (https://textcortex.com)

License

MIT

You might also like...
Train GPT-3 model on V100(16GB Mem) Using improved Transformer. Modified GPT using average pooling to reduce the softmax attention memory constraints.
Modified GPT using average pooling to reduce the softmax attention memory constraints.

NLP-GPT-Upsampling This repository contains an implementation of Open AI's GPT Model. In particular, this implementation takes inspiration from the Ny

Creating a chess engine using GPT-3
Creating a chess engine using GPT-3

GPT3Chess Creating a chess engine using GPT-3 Code for my article : https://towardsdatascience.com/gpt-3-play-chess-d123a96096a9 My game (white) vs GP

Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!
Generate custom detailed survey paper with topic clustered sections and proper citations, from just a single query in just under 30 mins !!

Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti

Demo programs for the Talking Head Anime from a Single Image 2: More Expressive project.
Demo programs for the Talking Head Anime from a Single Image 2: More Expressive project.

Demo Code for "Talking Head Anime from a Single Image 2: More Expressive" This repository contains demo programs for the Talking Head Anime

Ecommerce product title recognition package

revizor This package solves task of splitting product title string into components, like type, brand, model and article (or SKU or product code or you

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together

SpeechMix Explore different way to mix speech model(wav2vec2, hubert) and nlp model(BART,T5,GPT) together. Introduction For the same input: from datas

Comments
  • Error in Running API Key Cell

    Error in Running API Key Cell

    Hi! When I entered the API key and run the cell then it gives me an error: ERROR:root:Ops, error {'status': 'fail', 'message': 'An error happened while processing your request', 'error': 500} None Please guide or help to solve it! Thanks! image

    opened by muhammadatifaltaf 1
  • add error handling

    add error handling

    Hi there, this is a small PR for adding the following features:

    1. error treatments to request calls.
    2. logger to log eventual errors.
    3. decorator to retry when found an error.

    Cheers, Vinicius

    opened by vwoloszyn 1
  • Refactor hemingwai -> textcortex-python

    Refactor hemingwai -> textcortex-python

    The goal is to improve the naming conventions and code quality in this repo.

    • [ ] Refactor hemingwai -> textcortex-python
    • [ ] Update functions to the latest version of the API
    • [ ] Improve documentation
    opened by osolmaz 0
Releases(v.2.0.0)
  • v.2.0.0(Jun 28, 2022)

    Big update! Moving into HemingwAI V2:

    • With this update, prompting got much easier and easy to understand.
    • We have also introduced generation_ids to the endpoint which means that you will be able to give feedback regarding to the quality of the outputs. This helps us give a better text generation for your needs. We will be sharing about tips how to give update on the data in later releases.
    • We have removed some of the generation functions until we can assure the quality on the outputs. You can still use this generation but you need to look at the examples under the postman collection
    Source code(tar.gz)
    Source code(zip)
  • v1.0.10(Apr 21, 2022)

    -Added blog title generation feature, which can be used for generating blog titles, youtube titles or any kind of title that can be used based on the given keywords. -Added examples

    Source code(tar.gz)
    Source code(zip)
  • v.1.0.9(Mar 29, 2022)

  • v.1.0.8(Mar 9, 2022)

  • v.1.0.7(Mar 2, 2022)

    What's Changed

    • add error handling by @vwoloszyn in https://github.com/textcortex/hemingwai/pull/1

    New Contributors

    • @vwoloszyn made their first contribution in https://github.com/textcortex/hemingwai/pull/1

    Full Changelog: https://github.com/textcortex/hemingwai/commits/v.1.0.7

    Source code(tar.gz)
    Source code(zip)
Owner
TextCortex AI
TextCortex AI is an open source NLG platform that let's you generate product descriptions, blogs, emails, ad copies and more with just a single API call.
TextCortex AI
Calibre recipe to convert latest issue of Analyse & Kritik into an ebook

Calibre Recipe für "Analyse & Kritik" Dies ist ein "Recipe" für die Konvertierung der aktuellen Ausgabe der Zeitung Analyse & Kritik in ein Ebook. Es

Henning 3 Jan 04, 2022
中文問句產生器;使用台達電閱讀理解資料集(DRCD)

Transformer QG on DRCD The inputs of the model refers to we integrate C and A into a new C' in the following form. C' = [c1, c2, ..., [HL], a1, ..., a

Philip 1 Oct 22, 2021
Contains links to publicly available datasets for modeling health outcomes using speech and language.

speech-nlp-datasets Contains links to publicly available datasets for modeling various health outcomes using speech and language. Speech-based Corpora

Tuka Alhanai 77 Dec 07, 2022
PyTorch implementation of Tacotron speech synthesis model.

tacotron_pytorch PyTorch implementation of Tacotron speech synthesis model. Inspired from keithito/tacotron. Currently not as much good speech quality

Ryuichi Yamamoto 279 Dec 09, 2022
Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

SWRM Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors" Clone Clone th

14 Jan 03, 2023
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)

Structured Super Lottery Tickets in BERT This repo contains our codes for the paper "Super Tickets in Pre-Trained Language Models: From Model Compress

Chen Liang 16 Dec 11, 2022
Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech tagging and word segmentation.

Pytorch-NLU,一个中文文本分类、序列标注工具包,支持中文长文本、短文本的多类、多标签分类任务,支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classifi

186 Dec 24, 2022
ETM - R package for Topic Modelling in Embedding Spaces

ETM - R package for Topic Modelling in Embedding Spaces This repository contains an R package called topicmodels.etm which is an implementation of ETM

bnosac 37 Nov 06, 2022
MRC approach for Aspect-based Sentiment Analysis (ABSA)

B-MRC MRC approach for Aspect-based Sentiment Analysis (ABSA) Paper: Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extracti

Phuc Phan 1 Apr 05, 2022
The simple project to separate mixed voice (2 clean voices) to 2 separate voices.

Speech Separation The simple project to separate mixed voice (2 clean voices) to 2 separate voices. Result Example (Clisk to hear the voices): mix ||

vuthede 31 Oct 30, 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
[KBS] Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks

#Sentic GCN Introduction This repository was used in our paper: Aspect-Based Sentiment Analysis via Affective Knowledge Enhanced Graph Convolutional N

Akuchi 35 Nov 16, 2022
Two-stage text summarization with BERT and BART

Two-Stage Text Summarization Description We experiment with a 2-stage summarization model on CNN/DailyMail dataset that combines the ability to filter

Yukai Yang (Alexis) 6 Oct 22, 2022
Chinese Pre-Trained Language Models (CPM-LM) Version-I

CPM-Generate 为了促进中文自然语言处理研究的发展,本项目提供了 CPM-LM (2.6B) 模型的文本生成代码,可用于文本生成的本地测试,并以此为基础进一步研究零次学习/少次学习等场景。[项目首页] [模型下载] [技术报告] 若您想使用CPM-1进行推理,我们建议使用高效推理工具BMI

Tsinghua AI 1.4k Jan 03, 2023
SciBERT is a BERT model trained on scientific text.

SciBERT is a BERT model trained on scientific text.

AI2 1.2k Dec 24, 2022
Anomaly Detection 이상치 탐지 전처리 모듈

Anomaly Detection 시계열 데이터에 대한 이상치 탐지 1. Kernel Density Estimation을 활용한 이상치 탐지 train_data_path와 test_data_path에 존재하는 시점 정보를 포함하고 있는 csv 형태의 train data와

CLUST-consortium 43 Nov 28, 2022
spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines

spaCy-wrap: For Wrapping fine-tuned transformers in spaCy pipelines spaCy-wrap is minimal library intended for wrapping fine-tuned transformers from t

Kenneth Enevoldsen 32 Dec 29, 2022
Natural Language Processing for Adverse Drug Reaction (ADR) Detection

Natural Language Processing for Adverse Drug Reaction (ADR) Detection This repo contains code from a project to identify ADRs in discharge summaries a

Medicines Optimisation Service - Austin Health 21 Aug 05, 2022
Unofficial Implementation of Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration

Zero-Shot Text-to-Speech for Text-Based Insertion in Audio Narration This repo contains only model Implementation of Zero-Shot Text-to-Speech for Text

Rishikesh (ऋषिकेश) 33 Sep 22, 2022