A Streamlit component to add user feedback to your apps.
from streamlit_feedback import streamlit_feedback
feedback = streamlit_feedback(feedback_type="thumbs")
feedbackHere are many examples of how the feedback component can be added to your app. Each function represents a different app.
Important
The streamlit_feedback component triggers a page reload when submitted, this is how streamlit components work. The on_submit function is only then run when your app reaches the streamlit-feedback() call on the rerun.
pip install streamlit-feedbackIt can be used with these parameters:
def streamlit_feedback(
feedback_type,
optional_text_label=None,
max_text_length=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.
max_text_length: int or None
Defaults to None. If set, enables the multi-line functionality and determines the maximum characters the textbox allows. Else, displays the default one-line textbox.
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. If on_submit returns a value, this value will be returned by the component.
"""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
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent