Streamlit CRM App App Overview

By the Handy Point Group

Overview

This Streamlit application is structured across multiple pages, each with a specific functionality. Here is a detailed breakdown of what each page does, along with the Streamlit components they use.

main_app.py

The main entry point of the application. It sets up the page configuration and sidebar navigation to access various sections of the app.

Functionality:

• Initialize the app with a title.
• Set up sidebar navigation using radio buttons.
• Incorporate functions from other pages based on user navigation.
• Allow users to download a call log CSV file.
• Offer different data views and filters.

Streamlit Components:

• st.set_page_config
• st.sidebar.radio
• st.title
• st.download_button
• st.selectbox
• st.multiselect

page_2.py

Handles mapping of geolocation data from CSV files and displays maps based on different filters.

Functionality:

• Read geocode and original data.
• Merge data to create maps for various call types.

Streamlit Components:

• st.selectbox
• st.map
• st.subheader

page_3.py

Displays a sales team report by industry using bar charts for calls and sales.

Functionality:

• Generate bar charts to visualize call and sales data.

Streamlit Components:

• st.pyplot
• st.columns
• st.metric

page_4.py

Allows interaction with call logs, including filtering and downloading of call data.

Functionality:

• Filter call logs by various criteria.
• Download filtered call logs as CSV.

Streamlit Components:

• st.download_button
• st.selectbox
• st.dataframe

page_5.py

Provides a dashboard for referrals and exporting of lead lists.

Functionality:

• Count connections with resources.
• Display and export filtered call data.

Streamlit Components:

• st.header
• st.subheader
• st.dataframe
• Custom functions to handle data exporting.
• st.columns

Notes

Each page uses specific Streamlit components to facilitate the creation of an interactive and user-friendly interface for data exploration. For more detailed information on the components and their usage, refer to the Streamlit API Reference.