app.py

import streamlit as st
import matplotlib.pyplot as plt
import plotly.express as px
import preprocessor
import helper

color_2 = 'rgb(237, 59, 59)'

st.set_page_config(page_title="Whatsapp Chat Data Analysis App",
                   initial_sidebar_state='expanded',
                   page_icon="📊",
                   menu_items={
                       'Get Help': 'https://www.linkedin.com/in/imdebamritapaul/',
                       'Report a bug': "mailto:imdebamrita@1gmail.com",
                       'About': "Introducing the WhatsApp Chat Analysis App! Analyze your chat history, uncover trends, and gain insights into your messaging habits. < ___Made by : Debamrita Paul___ > Connect in LinkedIn: https://www.linkedin.com/in/imdebamritapaul/ssssss 📲🚀 #WhatsAppChatAnalysis #DataInsights"
                   })

st.sidebar.title("Whatsapp Chat Analyzer")


uploaded_file = st.sidebar.file_uploader("Choose a file", type=['txt'])

if uploaded_file is not None:
    bytes_data = uploaded_file.getvalue()
    data = bytes_data.decode("utf-8")
    check = preprocessor.checker(data)

    if check:

        df = preprocessor.preprocess(data)

        # Get unique users

        user_list = df['user'].unique().tolist()
        user_list.remove('group_notification')
        user_list.sort()
        user_list.insert(0, 'Overall')

        selected_user = st.sidebar.selectbox("Show analysis wrt", user_list)

        if st.sidebar.button("Show Analysis"):

            # States Area
            num_messages, words, num_media_messages, num_links = helper.fetch_states(
                selected_user, df)
            st.title("Top Statistics")

            col1, col2, col3, col4 = st.columns(4)
            with col1:
                st.header("Total Messages")
                st.title(num_messages)
            with col2:
                st.header("Total Words")
                st.title(words)
            with col3:
                st.header("Media Shared")
                st.title(num_media_messages)
            with col4:
                st.header("Links Shared")
                st.title(num_links)

            # Timeline Data
            st.title("Timeline")
            col1, col2 = st.columns(2)
            # Monthly Timeline
            with col1:
                monthly_timeline = helper.monthly_timeline(selected_user, df)
                fig = px.line(monthly_timeline, x='Timeline', y='Message',
                              title='Monthly Timeline')
                st.plotly_chart(fig, use_container_width=True)

            # Daily Timeline
            with col2:
                daily_timeline = helper.daily_timeline(selected_user, df)
                fig = px.line(daily_timeline, x='Date', y='Message',
                              title='Daily Timeline')
                fig.update_traces(line_color=color_2)
                st.plotly_chart(fig, use_container_width=True)

            # Activity Map
            st.title("Activity Map")
            col1, col2 = st.columns(2)

            # Weekly Activity
            with col1:
                week_activity = helper.week_activity_map(selected_user, df)
                fig = px.bar(week_activity, x='Day', y='Message',
                             title='Weekly Activity')
                fig.update_traces(marker_color=color_2)
                st.plotly_chart(fig, use_container_width=True)

            # Monthly Activity
            with col2:
                month_activity = helper.month_activity_map(selected_user, df)
                fig = px.bar(month_activity, x='Month', y='Message',
                             title='Monthly Activity')
                st.plotly_chart(fig, use_container_width=True)

            # Heat Map
            user_heatmap = helper.activity_heatmap(selected_user, df)
            fig = px.imshow(user_heatmap, title='Activity Heatmap')
            st.plotly_chart(fig)

            # Finding the most active user in the Group
            if selected_user == 'Overall':
                st.title("Most Active Users")
                x, per = helper.most_active_user(df)

                col1, col2 = st.columns(2)

                with col1:
                    fig = px.bar(x, x='User', y='Count')
                    fig.update_traces(marker_color=color_2)
                    st.plotly_chart(fig, use_container_width=True)
                    # st.bar_chart(x)
                with col2:
                    st.dataframe(per)

            # WordCloud
            st.title("Word Cloud")
            df_wc = helper.create_wordcloud(selected_user, df)
            fig, ax = plt.subplots()
            ax.imshow(df_wc)
            ax.set_axis_off()
            st.pyplot(fig)

            # Most common words
            most_common_df = helper.most_common_words(selected_user, df)

            st.title("Most Common Words")

            fig = px.bar(most_common_df,
                         x='Count', y='Message', orientation='h')
            st.write(fig)

            # Emoji Analysis
            emoji_df = helper.emoji_data(selected_user, df)
            st.title("Emoji Analysis")

            col1, col2 = st.columns(2)

            if emoji_df.empty:
                with col1:
                    st.dataframe(emoji_df)
            else:

                with col1:
                    st.dataframe(emoji_df)
                with col2:
                    fig = px.pie(emoji_df.head(10), values='Count',
                                 names='Emoji', title='Top 10 Emojis')
                    st.plotly_chart(fig, use_container_width=True)

            # Data Time Freame
            st.title("Data Timeframe")

            timeframe = helper.data_timeframe(df)

            st.write(timeframe)
        else:
            st.write("In sidebar click on ___Show Analysis___ button...")
    else:
        st.write("Uploaded file doesn't match with the default format")
        st.write("!!! Upload the correct file.")

else:
    st.text("Go to Sidebar and Upload the file")
    st.text("How to export Whatsapp chat:")
    st.write("- Open the indivitual or group chat.")
    st.write("- At the top-right Info (⋮) -> More -> Export chat (Without Media).")
    st.write("- Save that .txt file and upload it.")


st.sidebar.text("Made by Debamrita Paul")
st.sidebar.write("[Connect ⤴](https://www.linkedin.com/in/imdebamritapaul/)")


hide_default_format = """
       <style>
       footer {visibility: hidden;}
       </style>
       """
st.markdown(hide_default_format, unsafe_allow_html=True)

custom_footer_style = """
<style>
.footer {
    position: fixed;
    left: 0;
    bottom: 0;
    width: 100%;
    background-color: #000;
    color: #999;
    text-align: center;
    padding: 2.5px 0;
}
</style>
"""


def custom_footer():
    st.markdown('<div class="footer">Made By Debamrita Paul - 2023</div>',
                unsafe_allow_html=True)


st.markdown(custom_footer_style, unsafe_allow_html=True)

custom_footer()