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Package: querychat
Title: Filter and Query Data Frames in 'shiny' Using an LLM Chat Interface
Version: 0.1.0.9000
Authors@R: c(
person("Joe", "Cheng", , "joe@posit.co", role = c("aut", "cre")),
person("Posit Software, PBC", role = c("cph", "fnd"))
)
Description: Adds an LLM-powered chatbot to your 'shiny' app, that can
turn your users' natural language questions into SQL queries that run
against your data, and return the result as a reactive dataframe. Use
it to drive reactive calculations, visualizations, downloads, etc.
License: MIT + file LICENSE
URL: https://posit-dev.github.io/querychat/pkg-r,
https://posit-dev.github.io/querychat
Depends:
R (>= 4.1.0)
Imports:
bslib,
DBI,
duckdb,
ellmer (>= 0.3.0),
htmltools,
lifecycle,
promises,
purrr,
R6,
rlang,
shiny,
shinychat (>= 0.2.0.9000),
utils,
whisker
Suggests:
bsicons,
DT,
palmerpenguins,
RSQLite,
shinytest2,
testthat (>= 3.0.0),
withr
Remotes:
posit-dev/shinychat/pkg-r
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3