langchain-utils 0.3.3

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langchain-utils

LangChain Utilities

• langchain-utils
  • Prompt generation using LangChain document loaders
    • urlprompt
    • pdfprompt
    • ytprompt
  • Installation
    • pipx
    • pip
  • Develop

Prompt generation using LangChain document loaders

Optimized to feed into a chat interface (like ChatGPT) manually in one or multiple (to get around context length limits) goes.

urlprompt

$ urlprompt --help

usage: urlprompt [-h] [-V] [-c] [-e] [-m model] [-S] [-s chunk_size] [-n]
                 [-w WHAT] [-M] [-j]
                 URL

Get a prompt consisting the text content of a webpage

positional arguments:
  URL                   URL to the webpage

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -c, --copy            Copy the prompt to clipboard (default: False)
  -e, --edit            Edit the prompt and copy manually (default: False)
  -m model, --model model
                        Model to use (default: gpt-3.5-turbo)
  -S, --split           Split the prompt into multiple parts (default: False)
  -s chunk_size, --chunk-size chunk_size
                        Chunk size when splitting transcript, also used to
                        determine whether to split (default: 2000)
  -n, --dry-run         Dry run (default: False)
  -w WHAT, --what WHAT  Initial knowledge you want to insert before the PDF
                        content in the prompt (default: the content of a
                        webpage)
  -M, --merge           Merge contents of all pages before processing
                        (default: False)
  -j, --javascript      Use JavaScript to render the page (default: False)

pdfprompt

$ pdfprompt --help

usage: pdfprompt [-h] [-V] [-c] [-e] [-m model] [-S] [-s chunk_size] [-n]
                 [-p PAGES [PAGES ...]] [-M] [-w WHAT]
                 PDF Path

Get a prompt consisting the text content of a PDF file

positional arguments:
  PDF Path              Path to the PDF file

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -c, --copy            Copy the prompt to clipboard (default: False)
  -e, --edit            Edit the prompt and copy manually (default: False)
  -m model, --model model
                        Model to use (default: gpt-3.5-turbo)
  -S, --split           Split the prompt into multiple parts (default: False)
  -s chunk_size, --chunk-size chunk_size
                        Chunk size when splitting transcript, also used to
                        determine whether to split (default: 2000)
  -n, --dry-run         Dry run (default: False)
  -p PAGES [PAGES ...], --pages PAGES [PAGES ...]
                        Only include specified page numbers (default: None)
  -M, --merge           Merge contents of all pages before processing
                        (default: False)
  -w WHAT, --what WHAT  Initial knowledge you want to insert before the PDF
                        content in the prompt (default: the content of a PDF
                        file)

ytprompt

$ ytprompt --help

usage: ytprompt [-h] [-V] [-c] [-e] [-m model] [-S] [-s chunk_size] [-n]
                YouTube URL

Get a prompt consisting Title and Transcript of a YouTube Video

positional arguments:
  YouTube URL           YouTube URL

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -c, --copy            Copy the prompt to clipboard (default: False)
  -e, --edit            Edit the prompt and copy manually (default: False)
  -m model, --model model
                        Model to use (default: gpt-3.5-turbo)
  -S, --split           Split the prompt into multiple parts (default: False)
  -s chunk_size, --chunk-size chunk_size
                        Chunk size when splitting transcript, also used to
                        determine whether to split (default: 2000)
  -n, --dry-run         Dry run (default: False)

Installation

pipx

This is the recommended installation method.

$ pipx install langchain-utils

pip

$ pip install langchain-utils

Develop

$ git clone https://github.com/tddschn/langchain-utils.git
$ cd langchain-utils
$ poetry install