Harsh032/whatsapp_chat_analyzer

1import matplotlib.pyplot as plt2import streamlit as st3import preprocessor,helper4 5 6st.set_page_config(layout='wide',page_title='Whatsapp chat analyzer',initial_sidebar_state="auto")7 8 9st.sidebar.title("Whats App Chat Analyzer")10 11 12uploaded_file = st.sidebar.file_uploader("Choose a file")13if uploaded_file is not None:14    # To read file as bytes:15    bytes_data = uploaded_file.getvalue()16    data = bytes_data.decode('utf-8')17    df = preprocessor.preprocess(data)18 19    st.dataframe(df)20 21    user_list =  df["sender"].unique().tolist()22    user_list.sort()23    user_list.insert(0 ,"Overall")24 25    selected_user = st.sidebar.selectbox("Show Analysis wrt",user_list)26 27    if st.sidebar.button("Show Analysis"):28 29        num_messages,words,num_media_messages,nums_links = helper.fecth_stats(selected_user,df)30 31        col1, col2 ,col3 ,col4 =st.columns(4)32 33        #Number of messsages34        with col1:35            st.header("Total messages")36            st.title(num_messages)37 38        # Total number of words sended by user39        with col2:40            st.header("Total words")41            st.title(words)42 43        # Number of media sended by user like photos and videos etc.44        with col3:45            st.header("Total Media")46            st.title(num_media_messages)47 48        # number of links and ulrs49        with col4:50            st.header("Number of Links")51            st.title(nums_links)52 53        if selected_user == "Overall":54            st.title("Most Busiest User")55 56            x , new_df = helper.most_busy_user(df)57            fig, ax = plt.subplots()58 59            col1, col2 = st.columns(2)60            with col1:61                ax.bar(x.index,x.values)62                st.pyplot(fig)63 64            with col2:65                st.dataframe(new_df)66 67        st.title("Word Cloud")68        df_wc = helper.create_word_cloud(selected_user,df)69        fig , ax = plt.subplots()70        ax.imshow(df_wc)71        st.pyplot(fig)72 73 74 75 76 77