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| import streamlit as st | |
| import numpy as np | |
| import pandas as pd | |
| from transformers import pipeline | |
| from wordcloud import WordCloud | |
| import matplotlib.pyplot as plt | |
| import nltk | |
| from nltk.corpus import stopwords | |
| from nltk.tokenize import word_tokenize | |
| nltk.download('punkt') | |
| nltk.download('stopwords') | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| def calculate(q1,q2,q3,q4,q5,q6,q7,q8,q9,q10): | |
| score = 0 | |
| for i in [q4,q5,q7,q8]: | |
| if i == 'Very Often': | |
| score += 0 | |
| elif i == 'Fairly Often': | |
| score += 1 | |
| elif i == 'Sometimes': | |
| score += 2 | |
| elif i == 'Almost': | |
| score += 3 | |
| elif i == 'Never': | |
| score += 4 | |
| for i in [q1,q2,q3,q6,q9,q10]: | |
| if i == 'Very Often': | |
| score += 4 | |
| elif i == 'Fairly Often': | |
| score += 3 | |
| elif i == 'Sometimes': | |
| score += 2 | |
| elif i == 'Almost': | |
| score += 1 | |
| elif i == 'Never': | |
| score += 0 | |
| return score | |
| def home_page(): | |
| st.write("# Mental Health Well Being App! \U0001f64f") | |
| st.markdown( | |
| """ | |
| TBD | |
| This is a place for you to check your stress score based on the Perceived Stress Score (PSS)). | |
| **👈 Select our offerings from the dropdown on the left** to see how we can help! | |
| """ | |
| ) | |
| def PSS_monthly(): | |
| st.write("## Ready to know your score on Perceived Stress Scale (PSS) for this month?") | |
| st.markdown("""This tool assess how different situations affect your feelings and your perceived stress. The questions in this scale ask about your feelings and thoughts during the last month.""") | |
| st.sidebar.success("Select one of our offerings from above. For better results, follow the sequence") | |
| st.sidebar.image("data:image/jpeg;base64,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",use_column_width=True | |
| ) | |
| with st.form(key='Questionaire_monthly'): | |
| question1 = st.selectbox( | |
| '1. In the last month, how often have you been upset because of something that happened unexpectedly?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question2 = st.selectbox( | |
| '2. In the last month, how often have you felt that you were unable to control the important things in your life?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question3 = st.selectbox( | |
| '3. In the last month, how often have you felt nervous and "stressed"?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question4 = st.selectbox( | |
| '4. In the last month, how often have you felt confident about your ability to handle your personal problems?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question5 = st.selectbox( | |
| '5. In the last month, how often have you felt that things were going your way?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question6 = st.selectbox( | |
| '6. In the last month, how often have you found that you could not cope with all the things that you had to do?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question7 = st.selectbox( | |
| '7. In the last month, how often have you been able to control irritations in your life?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question8 = st.selectbox( | |
| '8. In the last month, how often have you felt that you were on top of things?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question9 = st.selectbox( | |
| '9. In the last month, how often have you been angered because of things that were outside of your control?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question10 = st.selectbox( | |
| '10. In the last month, how often have you felt difficulties were piling up so high that you could not overcome them?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| submit_button = st.form_submit_button(label='Submit') | |
| if submit_button: | |
| score = calculate(question1,question2,question3,question4,question5,question6,question7,question8,question9,question10) | |
| st.write(f'Your Stress score : {score}/40 ') | |
| st.markdown("""**Here is how you progressed in the previous months**""") | |
| #Synthetic data created for the given user for 6 days | |
| df = pd.DataFrame(np.random.randint(10,40,(8,1)),columns=["Score"]) | |
| df['Month'] = ['01/01','02/01','03/01','04/01','05/01','06/01','07/01','08/01'] | |
| df.loc[7, 'Score'] = score | |
| df = df.set_index('Month') | |
| st.bar_chart(df) | |
| st.markdown("""---""") | |
| st.markdown("""Worried that you are a victim of stress? ***You are not alone*** and we are in a shared space.""") | |
| st.markdown("""How other users stand with you in Stress levels""") | |
| #Synthetic data created for other users | |
| members_scores = pd.DataFrame(np.random.randint(0,40,(40,2)),columns=['score','count']) | |
| members_scores = members_scores.groupby(['score'])['count'].agg('sum').reset_index()#.rename(columns={'count':'No. of Users'}) | |
| #st.dataframe(members_scores) | |
| #if score in members_scores['score']: | |
| # members_scores.loc[len(members_scores.index)]= [score,1+members_scores[members_scores['score']==score]['No. of Users']] | |
| #else: | |
| # members_scores.loc[len(members_scores.index)]= [score,1] | |
| #st.dataframe(members_scores) | |
| #fig = plt.figure(figsize=(10, 4)) | |
| #plt.scatter(members_scores['score'], members_scores['No. of Users'],s=[5*i for i in members_scores['No. of Users']]) | |
| #plt.scatter(score,members_scores[members_scores['score']==score]['No. of Users'],marker="*",color='r') | |
| #st.balloons() | |
| #plt.xlabel('Perceived Stress Scale') | |
| #plt.ylabel('No. of Users') | |
| #st.pyplot(fig) | |
| #st.markdown("""---""") | |
| st.vega_lite_chart(members_scores, { | |
| 'mark': {'type': 'circle', 'tooltip': True}, | |
| 'encoding': { | |
| 'x': {'field': 'score', 'type': 'quantitative'}, | |
| 'y': {'field': 'count', 'type': 'quantitative'}, | |
| 'size': {'field': 'score', 'type': 'quantitative'}, | |
| 'color': {'field': 'score', 'type': 'quantitative'}, | |
| }, | |
| },use_container_width=True) | |
| def PSS(): | |
| st.write("## Ready to know your score on Perceived Stress Scale (PSS) for this week?") | |
| st.markdown("""This tool assess how different situations affect your feelings and your perceived stress. The questions in this scale ask about your feelings and thoughts during the last week.""") | |
| st.sidebar.success("Select one of our offerings from above. For better results, follow the sequence") | |
| st.sidebar.image("data:image/jpeg;base64,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",use_column_width=True | |
| ) | |
| with st.form(key='Questionaire'): | |
| question1 = st.selectbox( | |
| '1. In the last week, how often have you been upset because of something that happened unexpectedly?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question2 = st.selectbox( | |
| '2. In the last week, how often have you felt that you were unable to control the important things in your life?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question3 = st.selectbox( | |
| '3. In the last week, how often have you felt nervous and "stressed"?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question4 = st.selectbox( | |
| '4. In the last week, how often have you felt confident about your ability to handle your personal problems?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question5 = st.selectbox( | |
| '5. In the last week, how often have you felt that things were going your way?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question6 = st.selectbox( | |
| '6. In the last week, how often have you found that you could not cope with all the things that you had to do?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question7 = st.selectbox( | |
| '7. In the last week, how often have you been able to control irritations in your life?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question8 = st.selectbox( | |
| '8. In the last week, how often have you felt that you were on top of things?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question9 = st.selectbox( | |
| '9. In the last week, how often have you been angered because of things that were outside of your control?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| question10 = st.selectbox( | |
| '10. In the last week, how often have you felt difficulties were piling up so high that you could not overcome them?', | |
| ('Very Often', 'Fairly Often', 'Sometimes','Almost','Never')) | |
| submit_button = st.form_submit_button(label='Submit') | |
| if submit_button: | |
| score = calculate(question1,question2,question3,question4,question5,question6,question7,question8,question9,question10) | |
| st.write(f'Your Stress score : {score}/40 ') | |
| def daily_log(): | |
| model_path = "cardiffnlp/twitter-xlm-roberta-base-sentiment" | |
| sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path) | |
| st.markdown("""***Hey there!! 👋 Ready to track your daily progress*** \u270D\uFE0F""") | |
| with st.form(key='Sentiment'): | |
| prompt = st.text_area('Thought Journal:',value="Hackathon was the best part of today and collaborating with colleagues is icing on the cake. It was challenging though.") | |
| submit_button = st.form_submit_button(label='Submit') | |
| if 'thought_key' not in st.session_state: | |
| st.session_state['thought_key'] = False | |
| if submit_button: | |
| st.session_state['thought_key'] = True | |
| if st.session_state['thought_key']: | |
| out = sentiment_task(prompt) | |
| if out[0]['label'] =='Positive': | |
| score = out[0]['score'] | |
| st.write(f'Yay!! You are having a great day and we know that you are worth of it \U0001f60d') | |
| elif out[0]['label'] =='Negative': | |
| st.write("Sorry you had a bad day but you'll always have an another day to improve \U0001f91d \U0001f917") | |
| habit = st.selectbox('Did you stick with the habit?',('Yes', 'No')) | |
| history = ["\U0001F612","\U0001F600","\U0001F600","\U0001F612","\U0001F600","\U0001F612"] | |
| days = ['Day1', 'Day2', 'Day3', 'Day4', 'Day5', 'Day6'] | |
| button = st.button('Track',key='hbt_button') | |
| df = pd.DataFrame(list(zip(days, history)), columns =['Days','Emotions']) | |
| df = df.set_index('Days') | |
| if 'habit_key' not in st.session_state: | |
| st.session_state['habit_key'] = False | |
| if button: | |
| st.session_state['habit_key'] = True | |
| if st.session_state['habit_key']: | |
| #if button: | |
| if habit=='Yes': | |
| st.write("Well Done, Keep it up!! \u2705") | |
| df.loc['Day7'] = ["\U0001F600"] | |
| elif habit=='No': | |
| st.write("Don't worry, you can catch up again tomorrow") | |
| df.loc['Day7'] = ["\U0001F612"] | |
| #st.bar_chart(df) | |
| #Steps Calculator | |
| st.markdown("""---""") | |
| no_of_steps = st.text_input('Steps Walked Today', 0) | |
| no_of_steps = int(no_of_steps) | |
| stp_history = [5000,1250,4850,1890,6000,4500] | |
| stp_days = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5', 'Day 6'] | |
| stp_button = st.button('Track',key='stp_button') | |
| stp_df = pd.DataFrame(list(zip(stp_days, stp_history)), columns =['Days','Steps']) | |
| stp_df = stp_df.set_index('Days') | |
| if 'stp_key' not in st.session_state: | |
| st.session_state['stp_key'] = False | |
| if stp_button: | |
| st.session_state['stp_key'] = True | |
| if st.session_state['stp_key']: | |
| #if stp_button: | |
| if no_of_steps>=0: | |
| st.write("Well Done, Keep it up!! \u2705") | |
| stp_df.loc['Day7'] = [no_of_steps] | |
| st.markdown("""---""") | |
| # Sleep | |
| no_of_hrs = st.text_input('Hours Slept', '0') | |
| no_of_hrs = int(no_of_hrs) | |
| hrs_history = [7,7.5,8,7.5,6,8] | |
| hrs_days = ['Day 1', 'Day 2', 'Day 3', 'Day 4', 'Day 5', 'Day 6'] | |
| slp_button = st.button('Track',key='slp_button') | |
| slp_df = pd.DataFrame(list(zip(hrs_days, hrs_history)), columns =['Days','Hours slept']) | |
| slp_df = slp_df.set_index('Days') | |
| if 'slp_key' not in st.session_state: | |
| st.session_state['slp_key'] = False | |
| if slp_button: | |
| st.session_state['slp_key'] = True | |
| if st.session_state['slp_key']: | |
| #if slp_button: | |
| if no_of_hrs>=0: | |
| st.write("Well Done, Keep it up!! \u2705") | |
| slp_df.loc['Day7'] = [no_of_hrs] | |
| #slp_df = slp_df.copy(deep=False) | |
| #st.dataframe(slp_df) | |
| st.markdown("""---""") | |
| st.markdown("""**Gratitude Journal**""") | |
| st.markdown("""Use the below prompt and reflect on what you are grateful for today. We will provide you our insights \U0001f929 """) | |
| gratitude = st.text_area('I am grateful for ....',value='the wonderful family I am gifted with. They are always supportive and encourage to achieve my goals.') | |
| grt_button = st.button('Get me things that I love the most',key='grt_button') | |
| if 'grt_key' not in st.session_state: | |
| st.session_state['grt_key'] = False | |
| if grt_button: | |
| st.session_state['grt_key'] = True | |
| if st.session_state['grt_key']: | |
| #if grt_button: | |
| #Synthetic data | |
| grt_text = 'Family Trip Friends Books College Movies friendship friendship Food Gatherings School Rain Nature Discipline Compassionate laugh, joy , excellent, relaxing, food, cakes, chocolates, sweets, festival, Family Family Family hilarious, weekends, Movies friendship, love rainbow, comedy affection vacation beach dance sports attractive optimistic moonlight, bonus ' + gratitude | |
| stop_words = set(stopwords.words('english')) | |
| word_tokens = word_tokenize(grt_text) | |
| filtered_sentence = [w for w in word_tokens if not w.lower() in stop_words] | |
| filtered_sentence = [] | |
| for w in word_tokens: | |
| if w not in stop_words and len(w)>3 : | |
| filtered_sentence.append(w) | |
| filtered_words = ' '.join(map(str,filtered_sentence)) | |
| wordcloud = WordCloud().generate(filtered_words) | |
| # Display the generated image: | |
| plt.imshow(wordcloud, interpolation='bilinear') | |
| plt.axis("off") | |
| plt.show() | |
| st.set_option('deprecation.showPyplotGlobalUse', False) | |
| st.markdown("""**We found these to be your favourites**""" +""" \U0001f60d""") | |
| st.pyplot() | |
| st.markdown("""**May be you should doing things that makes you grateful**""" +""" \U0001f596""") | |
| st.markdown("""\n""") | |
| st.markdown("""---""") | |
| st.markdown("""**Want to know how you are doing in this week ?**""" +""" \U0001f4c8""") | |
| trd_button = st.button('Display Trends',key='trds_button') | |
| if 'trd_key' not in st.session_state: | |
| st.session_state['trd_key'] = False | |
| if trd_button: | |
| st.session_state['trd_key'] = True | |
| if st.session_state['trd_key']: | |
| #if trd_button: | |
| st.markdown("""**How your emotions varied in this week ?**""" +""" \U0001F612 \U0001F600""") | |
| st.bar_chart(df) | |
| st.markdown("""---""") | |
| st.markdown("""**Track of your step count in this week ?**""" +""" \U0001f45f""") | |
| st.line_chart(stp_df) | |
| st.markdown("""---""") | |
| st.markdown("""**Track of hours you slept in this week ?**""" +""" \U0001f4a4""") | |
| st.line_chart(slp_df) | |
| st.markdown("""---""") | |
| check_box_prb = st.checkbox('I have completed my 7 days of tracking and I am ready to know your recomendation') | |
| #st.dataframe(slp_df) | |
| if 'cb_key' not in st.session_state: | |
| st.session_state['cb_key'] = False | |
| if check_box_prb: | |
| st.session_state['cb_key'] = True | |
| if st.session_state['cb_key']: | |
| if check_box_prb: | |
| #slp_df = slp_df.copy(deep=False) | |
| if slp_df.shape[0] == 7: | |
| #st.write(slp_df.shape[0]) | |
| st.write("That's Awesome! Keep the momentum going!") | |
| st.markdown("""**Why don't you share what you are going through? This would help us to give a better recommendation**""") | |
| classifier = pipeline("zero-shot-classification", model='cross-encoder/nli-distilroberta-base') | |
| sent = st.text_area('Brief your problem, we will suggest activities that could help you overcome stress',value="""As I am in college I am up all night all day getting only 5 hours of sleep daily. Eventually after some days I started facing some issues like mood swings and feeling lazy all the time , body ache, puffy eyes and ended up eating at night (one becomes snacky resulting at night) in weight gain.""") | |
| prb_button = st.button(label='Submit',key='probsubmit') | |
| #slp_df = slp_df.copy(deep=False) | |
| #st.dataframe(slp_df) | |
| if 'prbsol_key' not in st.session_state: | |
| st.session_state['prbsol_key'] = False | |
| if prb_button: | |
| st.session_state['prbsol_key'] = True | |
| if st.session_state['prbsol_key']: | |
| #st.dataframe(slp_df) | |
| #slp_df = slp_df.copy(deep=False) | |
| candidate_labels = ["Sleep-disorder", "Work-stress", "Peer pressure"] | |
| res = classifier(sent, candidate_labels) | |
| problem = res['labels'][0] | |
| st.write('We feel working on ',problem ,' could improve your overall well-being') | |
| st.markdown("""###Not sure where to start?###"""+ """ \U0001f914 """+""" ###Here are our recommendations!!### \U0001f917""") | |
| if problem == 'Sleep-disorder': | |
| st.write("Try this [Mediatation for Sleep on Headspace](https://www.headspace.com/meditation/sleep)") | |
| st.write("Try this [Yammer community for Mindfulness](https://web.yammer.com/main/org/optum.com/groups/eyJfdHlwZSI6Ikdyb3VwIiwiaWQiOiI1NzMxOTMxNzUwNCJ9/new)") | |
| elif problem == 'Work-stress': | |
| st.write("Try this [Mediatation for Anxiety on Headspace](https://www.headspace.com/meditation/anxiety)") | |
| st.write("Try this [Yammer community for Mindfulness](https://web.yammer.com/main/org/optum.com/groups/eyJfdHlwZSI6Ikdyb3VwIiwiaWQiOiI1NzMxOTMxNzUwNCJ9/new)") | |
| elif problem == 'Peer pressure': | |
| st.write("Try this [Calm Down Meditation](https://www.headspace.com/articles/how-to-calm-down)") | |
| st.write("Try this [Yammer community for Mindfulness](https://web.yammer.com/main/org/optum.com/groups/eyJfdHlwZSI6Ikdyb3VwIiwiaWQiOiI1NzMxOTMxNzUwNCJ9/new)") | |
| #st.write(type(res['labels'])) | |
| else: | |
| warning = '<p style="font-family:sans-serif; color:Red; font-size: 42px;">Looks like you have not tracked your habits for a week. Instant solutions may not always work. Keep track for atleast 7 days</p>' | |
| st.markdown(warning, unsafe_allow_html=True) | |
| st.write('Looks like you have not tracked your habits for a week. Instant solutions may not always work. Keep track for atleast 7 days') | |
| page_names_to_funcs = { | |
| "Home": home_page, | |
| "Daily Log": daily_log, | |
| "Weekly - Perceived Stress Scale": PSS, | |
| "Monthly - Perceived Stress Scale": PSS_monthly | |
| } | |
| #st.set_page_config(page_title="Mental Well Being", layout="wide") | |
| #st.markdown( | |
| #""" | |
| #<style> | |
| # [data-testid="stSidebar"][aria-expanded="true"] > div:first-child{ | |
| # width: 250px; | |
| # } | |
| # [data-testid="stSidebar"][aria-expanded="false"] > div:first-child{ | |
| # width: 250px; | |
| # margin-left: -250px; | |
| # } | |
| # | |
| # """, | |
| # unsafe_allow_html=True, | |
| #) | |
| demo_name = st.sidebar.selectbox("Choose one of our offerings", page_names_to_funcs.keys()) | |
| page_names_to_funcs[demo_name]() |