Spaces:
Running
Running
update app
Browse files- README.md +6 -6
- app.py +47 -441
- requirements.txt +1 -0
README.md
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---
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title: marimo
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emoji:
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colorFrom:
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colorTo:
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sdk: docker
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pinned:
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license: mit
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short_description:
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---
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Check out marimo at <https://github.com/marimo-team/marimo>
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---
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title: marimo recipe bot
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emoji: π₯
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colorFrom: blue
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colorTo: yellow
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sdk: docker
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pinned: false
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license: mit
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short_description: A marimo chatbot that can parse recipes from images
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---
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Check out marimo at <https://github.com/marimo-team/marimo>
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app.py
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def __():
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import marimo as mo
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@app.cell
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def __(mo):
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slider = mo.ui.slider(1, 22)
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return (slider,)
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@app.cell
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def __(mo, slider):
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mo.md(
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This means that unlike traditional notebooks, marimo notebooks **run
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automatically** when you modify them or
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interact with UI elements, like this slider: {slider}.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: disabling automatic execution": mo.md(
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rf"""
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marimo lets you disable automatic execution: just go into the
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notebook settings and set
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"Runtime > On Cell Change" to "lazy".
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When the runtime is lazy, after running a cell, marimo marks its
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descendants as stale instead of automatically running them. The
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lazy runtime puts you in control over when cells are run, while
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still giving guarantees about the notebook state.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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Tip: This is a tutorial notebook. You can create your own notebooks
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by entering `marimo edit` at the command line.
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"""
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).callout()
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 1. Reactive execution
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A marimo notebook is made up of small blocks of Python code called
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cells.
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marimo reads your cells and models the dependencies among them: whenever
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a cell that defines a global variable is run, marimo
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**automatically runs** all cells that reference that variable.
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Reactivity keeps your program state and outputs in sync with your code,
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making for a dynamic programming environment that prevents bugs before they
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happen.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(changed, mo):
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(
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mo.md(
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f"""
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**β¨ Nice!** The value of `changed` is now {changed}.
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When you updated the value of the variable `changed`, marimo
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**reacted** by running this cell automatically, because this cell
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references the global variable `changed`.
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Reactivity ensures that your notebook state is always
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consistent, which is crucial for doing good science; it's also what
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enables marimo notebooks to double as tools and apps.
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"""
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)
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if changed
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else mo.md(
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"""
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**π See it in action.** In the next cell, change the value of the
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variable `changed` to `True`, then click the run button.
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"""
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)
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)
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return
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@app.cell
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def __():
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: execution order": (
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"""
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The order of cells on the page has no bearing on
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the order in which cells are executed: marimo knows that a cell
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reading a variable must run after the cell that defines it. This
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frees you to organize your code in the way that makes the most
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sense for you.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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**Global names must be unique.** To enable reactivity, marimo imposes a
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constraint on how names appear in cells: no two cells may define the same
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variable.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: encapsulation": (
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"""
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By encapsulating logic in functions, classes, or Python modules,
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you can minimize the number of global variables in your notebook.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.accordion(
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{
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"Tip: private variables": (
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"""
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Variables prefixed with an underscore are "private" to a cell, so
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they can be defined by multiple cells.
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"""
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)
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}
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 2. UI elements
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Cells can output interactive UI elements. Interacting with a UI
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element **automatically triggers notebook execution**: when
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you interact with a UI element, its value is sent back to Python, and
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every cell that references that element is re-run.
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marimo provides a library of UI elements to choose from under
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`marimo.ui`.
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"""
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)
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return
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@app.cell
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def __(mo):
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mo.md("""**π Some UI elements.** Try interacting with the below elements.""")
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return
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@app.cell
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def __(mo):
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icon = mo.ui.dropdown(["π", "π", "β¨"], value="π")
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return (icon,)
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@app.cell
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def __(icon, mo):
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repetitions = mo.ui.slider(1, 16, label=f"number of {icon.value}: ")
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return (repetitions,)
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@app.cell
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def __(icon, repetitions):
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icon, repetitions
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return
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@app.cell
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def __(
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 3. marimo is just Python
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marimo cells parse Python (and only Python), and marimo notebooks are
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stored as pure Python files β outputs are _not_ included. There's no
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magical syntax.
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The Python files generated by marimo are:
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- easily versioned with git, yielding minimal diffs
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- legible for both humans and machines
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- formattable using your tool of choice,
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- usable as Python scripts, with UI elements taking their default
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values, and
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- importable by other modules (more on that in the future).
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 4. Running notebooks as apps
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marimo notebooks can double as apps. Click the app window icon in the
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bottom-right to see this notebook in "app view."
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Serve a notebook as an app with `marimo run` at the command-line.
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Of course, you can use marimo just to level-up your
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notebooking, without ever making apps.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 5. The `marimo` command-line tool
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**Creating and editing notebooks.** Use
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```
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marimo edit
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```
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in a terminal to start the marimo notebook server. From here
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you can create a new notebook or edit existing ones.
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**Running as apps.** Use
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```
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marimo run notebook.py
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```
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to start a webserver that serves your notebook as an app in read-only mode,
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with code cells hidden.
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**Convert a Jupyter notebook.** Convert a Jupyter notebook to a marimo
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notebook using `marimo convert`:
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```
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marimo convert your_notebook.ipynb > your_app.py
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```
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**Tutorials.** marimo comes packaged with tutorials:
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- `dataflow`: more on marimo's automatic execution
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- `ui`: how to use UI elements
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- `markdown`: how to write markdown, with interpolated values and
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LaTeX
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- `plots`: how plotting works in marimo
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- `sql`: how to use SQL
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- `layout`: layout elements in marimo
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- `fileformat`: how marimo's file format works
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- `markdown-format`: for using `.md` files in marimo
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- `for-jupyter-users`: if you are coming from Jupyter
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Start a tutorial with `marimo tutorial`; for example,
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```
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marimo tutorial dataflow
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```
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In addition to tutorials, we have examples in our
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[our GitHub repo](https://www.github.com/marimo-team/marimo/tree/main/examples).
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"""
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)
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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## 6. The marimo editor
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Here are some tips to help you get started with the marimo editor.
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"""
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)
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return
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@app.cell
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def __(
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mo.
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return
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@app.cell(hide_code=True)
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def __(mo):
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mo.md(
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"""
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The name "marimo" is a reference to a type of algae that, under
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the right conditions, clumps together to form a small sphere
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called a "marimo moss ball". Made of just strands of algae, these
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beloved assemblages are greater than the sum of their parts.
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"""
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)
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return
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@app.cell(hide_code=True)
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def __():
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tips = {
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"Saving": (
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"""
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**Saving**
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- _Name_ your app using the box at the top of the screen, or
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with `Ctrl/Cmd+s`. You can also create a named app at the
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command line, e.g., `marimo edit app_name.py`.
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- _Save_ by clicking the save icon on the bottom right, or by
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inputting `Ctrl/Cmd+s`. By default marimo is configured
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to autosave.
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"""
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),
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"Running": (
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"""
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1. _Run a cell_ by clicking the play ( β· ) button on the top
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right of a cell, or by inputting `Ctrl/Cmd+Enter`.
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2. _Run a stale cell_ by clicking the yellow run button on the
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right of the cell, or by inputting `Ctrl/Cmd+Enter`. A cell is
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stale when its code has been modified but not run.
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3. _Run all stale cells_ by clicking the play ( β· ) button on
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the bottom right of the screen, or input `Ctrl/Cmd+Shift+r`.
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"""
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),
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"Console Output": (
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"""
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Console output (e.g., `print()` statements) is shown below a
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cell.
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"""
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),
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"
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2. _Move_ a cell up or down by dragging on the handle to the
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right of the cell, which appears on mouse hover.
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3. _Delete_ a cell by clicking the trash bin icon. Bring it
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back by clicking the undo button on the bottom right of the
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screen, or with `Ctrl/Cmd+Shift+z`.
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"""
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),
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"Disabling Automatic Execution": (
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"""
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Via the notebook settings (gear icon) or footer panel, you
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can disable automatic execution. This is helpful when
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working with expensive notebooks or notebooks that have
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side-effects like database transactions.
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"""
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),
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"Disabling Cells": (
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"""
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You can disable a cell via the cell context menu.
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marimo will never run a disabled cell or any cells that depend on it.
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This can help prevent accidental execution of expensive computations
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when editing a notebook.
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"""
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),
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"Code Folding": (
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"""
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You can collapse or fold the code in a cell by clicking the arrow
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icons in the line number column to the left, or by using keyboard
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shortcuts.
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)
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"""
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Use `Ctrl/Cmd+k` to open the command palette.
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"""
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),
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"Keyboard Shortcuts": (
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"""
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Open the notebook menu (top-right) or input `Ctrl/Cmd+Shift+h` to
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view a list of all keyboard shortcuts.
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"""
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),
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"Configuration": (
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"""
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Configure the editor by clicking the gears icon near the top-right
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of the screen.
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"""
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),
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}
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return (tips,)
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if __name__ == "__main__":
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# /// script
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# requires-python = ">=3.12"
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# dependencies = [
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# "marimo",
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+
# "openai==1.53.0",
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+
# ]
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+
# ///
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import marimo
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__generated_with = "0.9.20"
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app = marimo.App(width="medium")
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@app.cell
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def __(mo):
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mo.md(
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+
r"""
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+
# Recipe Bot π€
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20 |
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+
If you upload a screenshot of a recipe, this chatbot will catalog them for you.
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"""
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)
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return
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@app.cell
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def __():
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+
import marimo as mo
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+
import os
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+
return mo, os
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32 |
|
33 |
|
34 |
@app.cell
|
35 |
+
def __(mo, os):
|
36 |
+
api_key = mo.ui.text(
|
37 |
+
label="API Key",
|
38 |
+
kind="password",
|
39 |
+
value=os.environ.get("OPENAI_API_KEY") or "",
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|
40 |
)
|
41 |
+
api_key
|
42 |
+
return (api_key,)
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|
43 |
|
44 |
|
45 |
@app.cell
|
46 |
+
def __(api_key, mo):
|
47 |
+
chat = mo.ui.chat(
|
48 |
+
mo.ai.llm.openai(
|
49 |
+
"gpt-4o",
|
50 |
+
system_message="""You are a helpful assistant that can
|
51 |
+
parse my recipe and summarize them for me.
|
52 |
+
Give me a title in the first line.""",
|
53 |
+
api_key=api_key,
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|
54 |
),
|
55 |
+
allow_attachments=["image/png", "image/jpeg"],
|
56 |
+
prompts=["What is the recipe?"],
|
57 |
+
)
|
58 |
+
chat
|
59 |
+
return (chat,)
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|
60 |
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|
61 |
|
62 |
+
@app.cell
|
63 |
+
def __(chat, mo):
|
64 |
+
mo.stop(not chat.value)
|
65 |
+
|
66 |
+
last_message: str = chat.value[-1].content
|
67 |
+
title = last_message.split("\n")[0]
|
68 |
+
summary = "\n".join(last_message.split("\n")[1:])
|
69 |
+
with open(f"{title}.md", "w") as f:
|
70 |
+
f.write(summary)
|
71 |
+
mo.status.toast("Receipt summary saved!", description=title)
|
72 |
+
return f, last_message, summary, title
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|
73 |
|
74 |
|
75 |
if __name__ == "__main__":
|
requirements.txt
CHANGED
@@ -1,4 +1,5 @@
|
|
1 |
marimo
|
|
|
2 |
# Or a specific version
|
3 |
# marimo>=0.9.0
|
4 |
|
|
|
1 |
marimo
|
2 |
+
openai==1.53.0
|
3 |
# Or a specific version
|
4 |
# marimo>=0.9.0
|
5 |
|