Whatsapp chat analyzer web app with Python and Symbl.ai in < 100 lines of code!

import streamlit as stchat_file = st.file_uploader("Select chat file")if chat_file:    conversation_request = handle_uploaded_file(chat_file)

def handle_uploaded_file(file):    chat = file.read().decode("utf-8")    # Split each line from the file into a list and strip all whitespace    lines = chat.splitlines()    lines = [line.strip() for line in lines]    messages = []    cleaned_lines = []    # If line does not start with a Whatsapp date format [m/d/y, h:m:s am] then append it to the previous line.    for x in range(len(lines)):        if lines[x].find("[") == -1:            cleaned_lines[-1] = f"{cleaned_lines[-1]} {lines[x]}"            continue        cleaned_lines.append(lines[x])    # pares the time, name and message from a line    for line in cleaned_lines:        st_dt, en_dt = line.find("["), line.find("]")        time = line[st_dt:en_dt].replace("[", "")        name = line[en_dt:].split(":")[0].replace("]", "")        st_m = line[en_dt:].find(":")        message = line[en_dt:][st_m:].replace(":", "")        # Create messages in the format Symbl requires        messages.append(            {            "duration": {"startTime": arrow.get(time, 'M/D/YY, H:mm:ss A').format(), "endTime": arrow.get(time, 'M/D/YY, H:mm:ss A').format()},            "payload": {"content": message, "contentType": "text/plain"},            "from": {"name": name, "userId": name},            }        )    return {        "name": "Chat",            "confidenceThreshold": 0.6,            "detectPhrases": True,            "messages": messages,    }

import symbl...conversation_object = symbl.Text.process(payload=conversation_request)

with st.expander("Topics"):    with st.spinner("Getting topics"):        topics = symbl.Conversations.get_topics(conversation_id=conversation_id)    for topic in topics.topics:        st.write(f"- {topic.text}")with st.expander("Action Points"):    with st.spinner("Getting action items"):        action_items = symbl.Conversations.get_action_items(conversation_id=conversation_id)    for item in action_items.action_items:        st.write(f"- {item.text}")with st.expander("Questions"):    questions = symbl.Conversations.get_questions(conversation_id=conversation_id)    for question in questions.questions:        st.write(f"- {question.text}")with st.expander("Follow ups"):    follow_ups = symbl.Conversations.get_follow_ups(conversation_id=conversation_id)    for follow_up in follow_ups.follow_ups:        st.write(f"- {follow_up.text}")

import streamlit as stimport arrowimport symbldef handle_uploaded_file(file):    chat = file.read().decode("utf-8")    lines = chat.splitlines()    lines = [l.strip() for l in lines]    messages = []    cleaned_lines = []    for x in range(len(lines)):        if lines[x].find("[") == -1:            cleaned_lines[-1] = f"{cleaned_lines[-1]} {lines[x]}"            continue    cleaned_lines.append(lines[x])    for line in cleaned_lines:        st_dt, en_dt = line.find("["), line.find("]")        time = line[st_dt:en_dt].replace("[", "")        name = line[en_dt:].split(":")[0].replace("]", "")        st_m = line[en_dt:].find(":")        message = line[en_dt:][st_m:].replace(":", "")        messages.append(            {                "duration": {"startTime": arrow.get(time, 'M/D/YY, H:mm:ss A').format(), "endTime": arrow.get(time, 'M/D/YY, H:mm:ss A').format()},                "payload": {"content": message, "contentType": "text/plain"},                "from": {"name": name, "userId": name},            }        )    return {        "name": "Chat",            "confidenceThreshold": 0.6,            "detectPhrases": True,            "messages": messages,    }chat_file = st.file_uploader("Select chat file")if chat_file:    conversation_request = handle_uploaded_file(chat_file)    with st.spinner("Analysing Text"):        conversation_object = symbl.Text.process(payload=conversation_request)    conversation_id = conversation_object.get_conversation_id()    st.write(conversation_id)    with st.expander("Topics"):        with st.spinner("Getting topics"):            topics = symbl.Conversations.get_topics(conversation_id=conversation_id)        for topic in topics.topics:            st.write(f"- {topic.text}")    with st.expander("Action Points"):        with st.spinner("Getting action items"):            action_items = symbl.Conversations.get_action_items(conversation_id=conversation_id)        for item in action_items.action_items:            st.write(f"- {item.text}")    with st.expander("Questions"):        questions = symbl.Conversations.get_questions(conversation_id=conversation_id)        for question in questions.questions:            st.write(f"- {question.text}")    with st.expander("Follow ups"):        follow_ups = symbl.Conversations.get_follow_ups(conversation_id=conversation_id)        for follow_up in follow_ups.follow_ups:            st.write(f"- {follow_up.text}")