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| import streamlit as st | |
| import preprocessor, helper | |
| import matplotlib.pyplot as plt | |
| import seaborn as sns | |
| #test | |
| st.sidebar.title("Whatsapp Chat Analyzer") | |
| uploaded_file = st.sidebar.file_uploader("Choose a file") | |
| if uploaded_file is not None: | |
| bytes_data = uploaded_file.getvalue() | |
| data = bytes_data.decode("utf-8") | |
| df = preprocessor.preprocess(data) | |
| #st.dataframe(df) | |
| # fetch 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"): | |
| num_messages, num_words, num_media_messages, num_links = helper.fetch_stats(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(num_words) | |
| with col3: | |
| st.header("Media Shared") | |
| st.title(num_media_messages) | |
| with col4: | |
| st.header("Links Shared") | |
| st.title(num_links) | |
| # monthly timeline | |
| st.title("Monthly Timeline") | |
| timeline = helper.monthly_timeline(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.plot(timeline['time'], timeline['message'], color='green') | |
| plt.xticks(rotation='vertical') | |
| st.pyplot(fig) | |
| # daily timeline | |
| st.title("Daily Timeline") | |
| daily_timeline = helper.daily_timeline(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.plot(daily_timeline['only_date'], daily_timeline['message'], color='black') | |
| plt.xticks(rotation='vertical') | |
| st.pyplot(fig) | |
| # activity map | |
| st.title('Activity Map') | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.header("Most busy day") | |
| busy_day = helper.week_activity_map(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.bar(busy_day.index, busy_day.values, color='purple') | |
| plt.xticks(rotation='vertical') | |
| st.pyplot(fig) | |
| with col2: | |
| st.header("Most busy month") | |
| busy_month = helper.month_activity_map(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.bar(busy_month.index, busy_month.values, color='orange') | |
| plt.xticks(rotation='vertical') | |
| st.pyplot(fig) | |
| st.title("Weekly Activity Map") | |
| user_heatmap = helper.activity_heatmap(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax = sns.heatmap(user_heatmap) | |
| st.pyplot(fig) | |
| # finding the busiest users in the group(Group level) | |
| if selected_user == 'Overall': | |
| st.title('Most Busy Users') | |
| x, user_df = helper.most_busy_users(df) | |
| fig, ax = plt.subplots() | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| ax.bar(x.index, x.values, color='red') | |
| plt.xticks(rotation='vertical') | |
| st.pyplot(fig) | |
| with col2: | |
| st.dataframe(user_df) | |
| # WordCloud | |
| st.title("Wordcloud") | |
| df_wc = helper.create_wordcloud(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.imshow(df_wc) | |
| st.pyplot(fig) | |
| # most common words | |
| most_common_df = helper.most_common_words(selected_user, df) | |
| fig, ax = plt.subplots() | |
| ax.barh(most_common_df[0], most_common_df[1]) | |
| plt.xticks(rotation='vertical') | |
| st.title('Most commmon words') | |
| st.pyplot(fig) | |
| # emoji analysis | |
| emoji_df = helper.emoji_helper(selected_user, df) | |
| st.title("Emoji Analysis") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.dataframe(emoji_df) | |
| with col2: | |
| fig, ax = plt.subplots() | |
| ax.pie(emoji_df[1].head(), labels=emoji_df[0].head(), autopct="%0.2f") | |
| st.pyplot(fig) | |