Streamlit conda agent - gws_core

Typing name : TASK.gws_core.StreamlitCondaAgent

Brick : gws_core

Agent to generate a streamlit app dashboard in a conda environment

Agent to generate a streamlit app dashboard.

Warning: It is recommended to use code snippets comming from trusted sources.

Here is the general documentation for agent (including how to use the parameters): https://constellab.community/bricks/gws_core/latest/doc/developer-guide/agent/getting-started/69820653-52e0-41ba-a5f3-4d9d54561779

Here is the documentation of the agent: https://constellab.community/bricks/gws_core/latest/doc/developer-guide/agent/env-agent/c6acb3c3-2a7c-44cd-8fb2-ea1beccdbdcc

More information about streamlit: https://streamlit.io

If a resource list or set is provided, the resources will be flatten and added to the streamlit app. The order of the resources of a resource set will not be kept.

Input

Resource

Optional

Fs node

Output

Streamlit app

Streamlit dashboard app

Dashboard

Configuration

params

Optional

Type : dynamic

Default value : [object Object]

env

Optional

YAML configuration of the conda environment (contains the 'streamlit' package)

Type : yaml_code_param

Default value :

name: .venv
channels:
  - conda-forge
dependencies:
  - python=3.10
  - streamlit==1.42.2
  - pandas==2.2.2
  - plotly==5.22.0

code

Optional

Code of the streamlit app to run

Type : python_code_param

Default value :

# This is a template for a streamlit agent.
# This generates an app with one dataframe as input. Then the user can select 2 columns to plot a scatter plot.

import plotly.express as px
import streamlit as st
from pandas import DataFrame, read_csv

# Your Streamlit app code here
st.title("Dashboard example")

# show a table from file_path which is a csv file full width
if source_paths:
    df: DataFrame = read_csv(source_paths[0], header=0, index_col=0, sep=',')

    # show the dataframe
    st.dataframe(df)

    # add a select widget with the columns names with no default value
    # set the selectbox side by side
    col1, col2 = st.columns(2)

    with col1:
        x_col = st.selectbox("Select x column", options=df.columns, index=0)

    with col2:
        y_col = st.selectbox("Select y column", options=df.columns, index=1)

    if x_col and y_col:
        # Generate a scatter plot with plotly express
        fig = px.scatter(df, x=x_col, y=y_col)
        st.plotly_chart(fig)