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"""Frameworks for running multiple Streamlit applications as a single app. | |
""" | |
import streamlit as st | |
# app_state = st.experimental_get_query_params() | |
# app_state = {k: v[0] if isinstance(v, list) else v for k, v in app_state.items()} # fetch the first item in each query string as we don't have multiple values for each query string key in this example | |
class MultiApp: | |
"""Framework for combining multiple streamlit applications. | |
Usage: | |
def foo(): | |
st.title("Hello Foo") | |
def bar(): | |
st.title("Hello Bar") | |
app = MultiApp() | |
app.add_app("Foo", foo) | |
app.add_app("Bar", bar) | |
app.run() | |
It is also possible keep each application in a separate file. | |
import foo | |
import bar | |
app = MultiApp() | |
app.add_app("Foo", foo.app) | |
app.add_app("Bar", bar.app) | |
app.run() | |
""" | |
def __init__(self): | |
self.apps = [] | |
def add_app(self, title, func): | |
"""Adds a new application. | |
Parameters | |
---------- | |
func: | |
the python function to render this app. | |
title: | |
title of the app. Appears in the dropdown in the sidebar. | |
""" | |
self.apps.append({"title": title, "function": func}) | |
def run(self): | |
app_state = st.experimental_get_query_params() | |
app_state = { | |
k: v[0] if isinstance(v, list) else v for k, v in app_state.items() | |
} # fetch the first item in each query string as we don't have multiple values for each query string key in this example | |
# st.write('before', app_state) | |
titles = [a["title"] for a in self.apps] | |
functions = [a["function"] for a in self.apps] | |
default_radio = titles.index(app_state["page"]) if "page" in app_state else 0 | |
st.sidebar.title("List of Menu") | |
title = st.sidebar.radio("Go To", titles, index=default_radio, key="radio") | |
app_state["page"] = st.session_state.radio | |
# st.write('after', app_state) | |
st.experimental_set_query_params(**app_state) | |
functions[titles.index(title)]() | |
st.sidebar.title("About") | |
st.sidebar.info( | |
""" | |
This [dashboard](https://huggingface.co/spaces/billsar1912/YOLOv5x6-marine-vessels-detection?__theme=dark&page=Home) is maintain by Bill Van Ricardo Zalukhu. | |
And this dashboard is connected to [Big Data STIS](https://bigdata.stis.ac.id/ship-detection/), so check another project from Big Data STIS [here](https://bigdata.stis.ac.id). | |
""" | |
) | |