Browse free open source JavaScript AI Text Generators and projects below. Use the toggles on the left to filter open source JavaScript AI Text Generators by OS, license, language, programming language, and project status.

  • Top-Rated Free CRM Software Icon
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    216,000+ customers in over 135 countries grow their businesses with HubSpot

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  • 1
    Node.js Client For NLP Cloud

    Node.js Client For NLP Cloud

    NLP Cloud serves high performance pre-trained or custom models

    This is the Node.js client (with Typescript types) for the NLP Cloud API. NLP Cloud serves high-performance pre-trained or custom models for NER, sentiment analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, image generation, blog post generation, text generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, and served through a REST API. You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
    Downloads: 2 This Week
    Last Update:
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  • 2
    node-red-contrib-custom-chatgpt
    A Node-RED node that interacts with OpenAI machine learning models like "ChatGPT". Install with the built-in Node-RED Palette manager. When editing the properties of the node, to get your OPENAI_API_KEY log in to ChatGPT. Create a new secret key" then copy and paste the "API key" into the node API_KEY property value. msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond. Its success generally depends on the complexity of the task and quality of your prompt. A good rule of thumb is to think about how you would write a word problem for a middle schooler to solve. msg.payload should be a well-written prompt that provides enough information for the model to know what you want and how it should respond.
    Downloads: 1 This Week
    Last Update:
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  • 3
    Accelerated Text

    Accelerated Text

    Accelerated Text is a no-code natural language generation platform

    A picture is worth a thousand words. Or is it? Tables, charts, pictures are all useful in understanding our data but often we need a description – a story to tell us what are we looking at. Accelerated Text is a natural language generation tool which allows you to define data descriptions and then generates multiple versions of those descriptions varying in wording and structure. Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions. With Accelerated Text you can use such data to generate text for your business reports, your e-commerce platform or your customer support system. Data descriptions require precision. Accelerated Text follows the principle of this strict adherence to data-bound text generation. Via its user interface, it provides instruments to define how the data should be translated into a descriptive text.
    Downloads: 0 This Week
    Last Update:
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  • 4
    Basaran

    Basaran

    Basaran, an open-source alternative to the OpenAI text completion API

    Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models. The open source community will eventually witness the Stable Diffusion moment for large language models (LLMs), and Basaran allows you to replace OpenAI's service with the latest open-source model to power your application without modifying a single line of code. Stream generation using various decoding strategies. Support both decoder-only and encoder-decoder models. Detokenizer that handles surrogates and whitespace. Multi-GPU support with optional 8-bit quantization. Real-time partial progress using server-sent events. Compatible with OpenAI API and client libraries. Comes with a fancy web-based playground. Docker images are available on Docker Hub and GitHub Packages.
    Downloads: 0 This Week
    Last Update:
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  • 5

    Text Image Creator Kovalenko

    Text Image creator mobile app

    Text Image Creator Kovalenko is the ultimate text generation mobile app, designed to streamline your content creation process and inspire your creativity. Whether you're a writer, marketer, student, or simply someone looking to spice up your social media posts, Text Image Creator Kovalenko is your go-to tool for generating high-quality and engaging text content on the fly. Content Marketing: Craft compelling blog posts, social media updates, and email newsletters effortlessly. Academic Writing: Generate research paper abstracts, summaries, or creative writing assignments. Business Communication: Create professional reports, proposals, and marketing materials with ease. Social Media: Craft engaging captions, tweets, and Facebook posts to captivate your followers. Creative Writing: Use as a writing prompt generator to kickstart your storytelling. Indispensable tool for generating text content that stands out. Unlock your
    Downloads: 0 This Week
    Last Update:
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  • 6
    commit-autosuggestions

    commit-autosuggestions

    A tool that AI automatically recommends commit messages

    This is implementation of CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model. CommitBERT is accepted in ACL workshop : NLP4Prog. Have you ever hesitated to write a commit message? Now get a commit message from Artificial Intelligence! CodeBERT: A Pre-Trained Model for Programming and Natural Languages introduces a pre-trained model in a combination of Program Language and Natural Language(PL-NL). It also introduces the problem of converting code into natural language (Code Documentation Generation). We can use CodeBERT to create a model that generates a commit message when code is added. However, most code changes are not made only by add of the code, and some parts of the code are deleted. We plan to slowly conquer languages that are not currently supported. To run this project, you need a flask-based inference server (GPU) and a client (commit module). If you don't have a GPU, don't worry, you can use it through Google Colab.
    Downloads: 0 This Week
    Last Update:
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