A new package designed to process user-inputted text statements or stories and extract structured summaries or insights using a reliable language model with pattern matching and retries. It simplifies
Text cleaning, scoring and compression pipeline
To fetch the thesaurus of an input word
A new package is designed to analyze user-submitted discussions or problem descriptions about improving business interfaces, such as Chase Travel's UI. It processes the input text and outputs a struct
A simple component used to input multiple texts
A new package is designed to simplify the process of extracting structured information from user-provided text inputs by leveraging a language model with pattern matching capabilities. The system prom
A new package would process text inputs describing unconventional or controversial business or social initiatives, such as the 2012 program where homeless individuals were employed as mobile Wi-Fi hot
A new package that takes unstructured text input from users and returns structured, categorized feedback or suggestions. It uses pattern matching to ensure responses follow a consistent format, such a
unistruct extracts structured data from unstructured text, aiding project planning and management by converting free-form inputs into actionable details.
Extract from a given long text input, eCommerce products and price budget.
A new package designed to parse and structure information from unstructured text. It takes textual input and utilizes advanced language models with pattern matching to extract specific data points, en
A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change
A new package designed to analyze input texts related to global pharmaceutical trends, such as India's role in manufacturing generics, and generate structured summaries or insights. It leverages struc
A new package enables users to provide text inputs and receive reliably structured responses that clearly present key information with confidence indicators, reducing misunderstanding and overconfiden
AI-Agent (Auto-Code Executor) is a Python module that dynamically executes Python functions based on textual input. It leverages a language model (LLM) to match the input text with function descriptions and then executes the corresponding function from a specified file.
Input folder with pictures and text files where the text files describe the pictures and are named to match the picture they describe. The folders are named what you want the slides to be named, and the names of the pictures match what you would want in the labels.
This package solves the problem of extracting structured, domain-specific insights from unstructured text inputs—like historical articles, research papers, or summaries—without requiring manual parsin
A new package that simplifies and structures user feedback or descriptions about VPN sign-up experiences. It takes text input from users describing their sign-up process with a VPN service, such as ea
A new package that helps users and organizations analyze and categorize email account usage patterns. The package takes user-submitted text input describing their email management habits and returns a
A new package designed to interpret and extract structured technical insights from user-submitted hardware and software update summaries. It processes concise text inputs about hardware support change
A new package that processes user-provided text input to generate structured summaries of technical challenges, such as the difficulty of implementing resumable LLM streaming. It uses a system prompt
An input pygame alternative for sublime text users.
Text extraction from Microsoft Word files. Parses Word documents natively and can optionally run local OCR with Tesseract for embedded images or scanned pages. Supports page selection and bytes input. Legacy .doc is read-only and OCR is not available.
A new package would process user-provided text input related to historical or thematic content—such as summaries, descriptions, or analyses of topics like persuasion techniques from antiquity—and retu
A new package that analyzes user-provided JavaScript code snippets to determine if they can run concurrently without conflicts or race conditions. It takes the code as text input and returns a structu
A new package that processes text input related to early Unix history (pre-V7) and returns structured, verified summaries using pattern matching and LLM interactions. It takes user-provided text (e.g.
streamlit_text_like enables to like or dislike a text input
A widget to have a django text input splitted into multiple HTML inputs.
The embeddings package is a utility for generating question-answer pairs and embeddings from HTML pages or text input. It utilizes the OpenAI API to generate question-answer pairs and embeddings. This package is useful for generating training data for chatbots or question-answering models.
Python-mardown extension for inputs(text, select, checkbox...) in markdown document
Show the window that allows you to click filenames, which are picked up by scanning input text file.
This package helps users identify and avoid common pitfalls in web and HTML development by analyzing text-based input—like code snippets, design descriptions, or technical discussions—and returning a
A new package that helps developers quickly compare programming languages (Java, JavaScript, Python, Go) for a given task or context. It takes a text input describing a development scenario or require
A new package that analyzes user-provided text to detect and categorize the overall emotional tone or 'vibe' of the content. It processes input text and returns a structured summary of the detected em
Convert many medium into text, and the text format is specialized for prompt input
A new package that takes a news headline or short text snippet as input and returns a structured summary of the key event, actors, and context, using an LLM to generate the content and pattern matchin
A (simple) package for filtering text based on an input
A library for creating simple text-based data input screens
A new package that takes user-provided text input and returns structured, validated output using pattern matching to ensure consistent formatting. It processes text extracted from various sources like
Automates Software Security Analysis and Testing (SAST) by receiving user-inputted code snippets or text descriptions of functionality and returning a structured response highlighting potential securi
A new package designed to transform raw text inputs into structured, meaningful outputs using advanced language models. This package leverages the capabilities of llmatch-messages to ensure that the r
A new package that takes a text description of an image and returns a structured summary of the blurring tool's features and use cases. It processes user-provided text input about the tool, such as it
A new package designed to transform unstructured text inputs into standardized, machine-readable outputs. This tool focuses on domains where consistency and format are critical, such as technical docu
A new package would process user-provided text inputs, such as headlines or short descriptions, and generate structured summaries or categorizations using an LLM. It would be particularly useful for c
A new package that processes news headlines or short text snippets to generate structured summaries. It takes a headline or brief news text as input and uses an LLM to extract key information such as
A new package that transforms unstructured text descriptions of software performance benchmarks into standardized, comparable metrics. Users input text descriptions of performance tests, and the packa