streamlit-feedback 0.1.2

Streamlit component that allows you to collect user feedback in your apps

streamlit-feedback

Here is a Streamlit component that allows you to collect user feedback in your apps.

Install

pip install streamlit-feedback

Examples

• Trubrics, enabling AI teams to collect, analyse and manage user feedback on their models:

  • LLM Chat Completion: A chatbot that queries OpenAI's API and allows users to leave feedback.
  • LLM Completion: An LLM app that queries OpenAI's API and allows users to leave feedback on single text generations.

• Raise a PR with your cool feedback example here!

Usage

This component holds a single function:

from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="thumbs")
feedback

It can be used with these parameters:

def streamlit_feedback(
    feedback_type,
    optional_text_label=None,
    disable_with_score=None,
    on_submit=None,
    args=(),
    kwargs={},
    align="flex-end",
    key=None,
):
    """Create a new instance of "streamlit_feedback".

    Parameters
    ----------
    feedback_type: str
        The type of feedback; "thumbs" or "faces".
    optional_text_label: str or None
        An optional label to add as a placeholder to the textbox.
        If None, the "thumbs" or "faces" will not be accompanied by textual feedback.
    disable_with_score: str
        An optional score to disable the component. Must be a "thumbs" emoji or a "faces" emoji. Can be used to pass state from one component to another.
    on_submit: callable
        An optional callback invoked when feedback is submitted. This function must accept at least one argument, the feedback response dict,
        allowing you to save the feedback to a database for example. Additional arguments can be specified using `args` and `kwargs`.
    args: tuple
        Additional positional arguments to pass to `on_submit`.
    kwargs: dict
        Additional keyword arguments to pass to `on_submit`.
    align: str
        Where to align the feedback component; "flex-end", "center" or "flex-start".
    key: str or None
        An optional key that uniquely identifies this component. If this is
        None, and the component's arguments are changed, the component will
        be re-mounted in the Streamlit frontend and lose its current state.

    Returns
    -------
    dict
        The user response, with the feedback_type, score and text fields.

    """

For various code examples, see here.

Here are some more examples:

from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(
    feedback_type="thumbs",
    optional_text_label="[Optional] Please provide an explanation",
)
feedback

---

from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="faces")
feedback

---

from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(
    feedback_type="faces",
    optional_text_label="[Optional] Please provide an explanation",
)
feedback

---

from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="thumbs", align="flex-start")
feedback