BrightPsych / pages /DailyMoodTracker.py
Yash Sharma
Committing changes to pages directory
f2f00d5
# # import streamlit as st
# # import pandas as pd
# # from datetime import datetime
# # from plyer import notification
# # class MentalHealthTracker:
# # def __init__(self, user_id):
# # self.user_id = user_id
# # self.daily_answers = {}
# # self.weekly_suggestions = {}
# # def ask_daily_questions(self, daily_questions):
# # today_date = datetime.now().strftime("%Y-%m-%d")
# # st.subheader(f"Daily Questions - {today_date}")
# # for key, question in daily_questions.items():
# # unique_key = f"{today_date}_{key}"
# # st.write(f"{key}) {question}")
# # answer = st.text_input(f"Answer for {key}:", key=unique_key)
# # self.daily_answers[unique_key] = answer
# # def save_daily_answers_to_csv(self, filename):
# # df = pd.DataFrame(list(self.daily_answers.items()), columns=['Question ID', 'Answer'])
# # df.to_csv(filename, index=False)
# # st.success(f"Daily Answers saved to {filename}")
# # def set_daily_reminder(self, reminder_time):
# # # Set a daily reminder using plyer
# # now = datetime.now()
# # notification_time = datetime.strptime(reminder_time, "%H:%M")
# # # Calculate time until the next daily reminder
# # time_until_reminder = (datetime.combine(now.date(), notification_time.time()) - now).total_seconds()
# # # Schedule the reminder
# # notification.notify(
# # title=f"Daily Reminder",
# # message="Don't forget to answer your daily mental health questions!",
# # timeout=int(time_until_reminder),
# # )
# # def main():
# # st.markdown(
# # """
# # <style>
# # .main {
# # background-color: #14839f; /* Set your desired background color */
# # }
# # .title {
# # color: #f0f0f0;
# # font-size: 48px;
# # text-align: center;
# # font-weight: bold;
# # }
# # .st-bx{
# # color: #0d0101;
# # }
# # .st-bt{
# # background-color: #f0f0f0;
# # }
# # </style>
# # """,
# # unsafe_allow_html=True)
# # st.markdown('<p class="title">Mental Health Tracker App</p>', unsafe_allow_html=True)
# # # User ID
# # user_id = st.text_input('Enter User ID:', key='user_id')
# # # Create MentalHealthTracker instance
# # mental_health_tracker = MentalHealthTracker(user_id)
# # # Daily Questions
# # daily_questions = {
# # 1: "How would you rate your overall mood today?",
# # 2: "Did you engage in any physical activity today?",
# # 3: "What is one positive thing that happened today?",
# # 4: "Is there anything on your mind that you'd like to share?",
# # # Add more daily questions as needed
# # }
# # # Set a daily reminder
# # reminder_time = st.text_input("Set a daily reminder time (HH:MM):", "09:00")
# # mental_health_tracker.set_daily_reminder(reminder_time)
# # # Ask daily questions
# # mental_health_tracker.ask_daily_questions(daily_questions)
# # if st.button("Save Daily Answers"):
# # st.button("Save Daily Answers", key="save_button")
# # mental_health_tracker.save_daily_answers_to_csv(f"{user_id}_daily_answers.csv")
# # if __name__ == "__main__":
# # main()
# # import streamlit as st
# # from datetime import datetime
# # from deta import Deta
# # # Load the environment variables
# # DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # # Initialize with a project key
# # deta = Deta(DETA_KEY)
# # my_db = deta.Base("data_reports")
# # class MentalHealthTracker:
# # def __init__(self, user_id):
# # self.user_id = user_id
# # self.daily_answers = {}
# # def ask_daily_questions(self, daily_questions):
# # today_date = datetime.now().strftime("%Y-%m-%d")
# # st.subheader(f"Daily Questions - {today_date}")
# # for key, question in daily_questions.items():
# # unique_key = f"{today_date}_{key}"
# # st.write(f"{key}) {question}")
# # answer = st.text_input(f"Answer for {key}:", key=unique_key)
# # self.daily_answers[unique_key] = answer
# # def save_daily_answers_to_deta(self, deta_base):
# # data_to_insert = {
# # "Timestamp": datetime.now(),
# # "Activity": self.daily_answers.get("activity", ""),
# # "ID": self.daily_answers.get("id_value", ""),
# # "Positive": self.daily_answers.get("positive", ""),
# # "Mood": self.daily_answers.get("mood", ""),
# # }
# # # Insert data into Deta Base
# # result = my_db.put(data_to_insert)
# # # Display the result
# # st.success("Daily Answers saved successfully to Deta Base:")
# # st.write(result)
# # def main():
# # st.markdown(
# # """
# # <style>
# # .main {
# # background-color: #14839f; /* Set your desired background color */
# # }
# # .title {
# # color: #f0f0f0;
# # font-size: 48px;
# # text-align: center;
# # font-weight: bold;
# # }
# # .st-bx{
# # color: #0d0101;
# # }
# # .st-bt{
# # background-color: #f0f0f0;
# # }
# # </style>
# # """,
# # unsafe_allow_html=True)
# # st.markdown('<p class="title">Mental Health Tracker App</p>', unsafe_allow_html=True)
# # # User ID
# # user_id = st.text_input('Enter User ID:', key='user_id')
# # # Create Deta Base instance
# # deta_base = deta.Base("mental_health_data")
# # # Create MentalHealthTracker instance
# # mental_health_tracker = MentalHealthTracker(user_id)
# # # Daily Questions
# # daily_questions = {
# # "activity": "What activity did you engage in today?",
# # "id_value": "Enter an ID value:",
# # "positive": "Did you experience something positive today?",
# # "mood": "Rate your mood on a scale of 1 to 10:",
# # # Add more daily questions as needed
# # }
# # # Set a daily reminder
# # reminder_time = st.text_input("Set a daily reminder time (HH:MM):", "09:00")
# # mental_health_tracker.set_daily_reminder(reminder_time)
# # # Ask daily questions
# # mental_health_tracker.ask_daily_questions(daily_questions)
# # if st.button("Save Daily Answers"):
# # st.button("Save Daily Answers", key="save_button")
# # mental_health_tracker.save_daily_answers_to_deta(deta_base)
# # if __name__ == "__main__":
# # main()
# # import streamlit as st
# # from datetime import datetime
# # from deta import Deta
# # # Load the environment variables
# # DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # # Initialize with a project key
# # deta = Deta(DETA_KEY)
# # my_db = deta.Base("data_reports")
# # class MentalHealthTracker:
# # def __init__(self, user_id):
# # self.user_id = user_id
# # self.daily_answers = {}
# # def ask_daily_questions(self, daily_questions):
# # today_date = datetime.now().strftime("%Y-%m-%d")
# # st.subheader(f"Daily Questions - {today_date}")
# # for key, question in daily_questions.items():
# # unique_key = f"{today_date}_{key}"
# # st.write(f"{key}) {question}")
# # answer = st.text_input(f"Answer for {key}:", key=unique_key)
# # self.daily_answers[unique_key] = answer
# # def save_daily_answers_to_deta(self, deta_base):
# # timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# # data_to_insert = {
# # "Timestamp": timestamp,
# # "Activity": self.daily_answers.get("activity", ""),
# # "ID": self.daily_answers.get("id_value", ""),
# # "Positive": self.daily_answers.get("positive", ""),
# # "Mood": self.daily_answers.get("mood", ""),
# # }
# # # Insert data into Deta Base
# # result = my_db.put(data_to_insert)
# # # Display the result
# # st.success("Daily Answers saved successfully to Deta Base:")
# # st.write(result)
# # def main():
# # st.markdown(
# # """
# # <style>
# # .main {
# # background-color: #14839f; /* Set your desired background color */
# # }
# # .title {
# # color: #f0f0f0;
# # font-size: 48px;
# # text-align: center;
# # font-weight: bold;
# # }
# # .st-bx{
# # color: #0d0101;
# # }
# # .st-bt{
# # background-color: #f0f0f0;
# # }
# # </style>
# # """,
# # unsafe_allow_html=True)
# # st.markdown('<p class="title">Mental Health Tracker App</p>', unsafe_allow_html=True)
# # # User ID
# # user_id = st.text_input('Enter User ID:', key='user_id')
# # # Create MentalHealthTracker instance
# # mental_health_tracker = MentalHealthTracker(user_id)
# # # Daily Questions
# # daily_questions = {
# # "activity": "What activity did you engage in today?",
# # "id_value": "Enter an ID value:",
# # "positive": "Did you experience something positive today?",
# # "mood": "Rate your mood on a scale of 1 to 10:",
# # # Add more daily questions as needed
# # }
# # # Ask daily questions
# # mental_health_tracker.ask_daily_questions(daily_questions)
# # if st.button("Save Daily Answers"):
# # st.button("Save Daily Answers", key="save_button")
# # mental_health_tracker.save_daily_answers_to_deta(my_db)
# # if __name__ == "__main__":
# # main()
# import streamlit as st
# from datetime import datetime
# from deta import Deta
# # Load the environment variables
# DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # Initialize with a project key
# deta = Deta(DETA_KEY)
# my_db = deta.Base("data_reports")
# class MentalHealthTracker:
# def __init__(self, user_id):
# self.user_id = user_id
# self.daily_answers = {}
# def ask_daily_questions(self, daily_questions):
# today_date = datetime.now().strftime("%Y-%m-%d")
# st.subheader(f"Daily Questions - {today_date}")
# for key, question in daily_questions.items():
# unique_key = f"{today_date}_{key}"
# st.write(f"{key}) {question}")
# answer = st.text_input(f"Answer for {key}:", key=unique_key)
# self.daily_answers[unique_key] = answer
# def save_daily_answers_to_deta(self, my_db):
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# data_to_insert = {
# "Timestamp": timestamp,
# "Activity": self.daily_answers.get("activity", ""),
# "ID": self.daily_answers.get("id_value", ""),
# "Positive": self.daily_answers.get("positive", ""),
# "Mood": self.daily_answers.get("mood", ""),
# }
# # Debugging statements
# st.write("Data to insert:")
# st.write(data_to_insert)
# # Insert data into Deta Base
# result = my_db.put(data_to_insert)
# # Debugging statements
# # Display the result
# st.success("Daily Answers saved successfully to Deta Base:")
# st.write(result)
# def main():
# st.markdown(
# """
# <style>
# .main {
# background-color: #14839f; /* Set your desired background color */
# }
# .title {
# color: #f0f0f0;
# font-size: 48px;
# text-align: center;
# font-weight: bold;
# }
# .st-bx{
# color: #0d0101;
# }
# .st-bt{
# background-color: #f0f0f0;
# }
# </style>
# """,
# unsafe_allow_html=True)
# st.markdown('<p class="title">Mental Health Tracker App</p>', unsafe_allow_html=True)
# # Use st.session_state to persist the object across runs
# if 'mental_health_tracker' not in st.session_state:
# user_id = st.text_input('Enter User ID:', key='user_id')
# st.session_state.mental_health_tracker = MentalHealthTracker(user_id)
# # Create MentalHealthTracker instance
# mental_health_tracker = st.session_state.mental_health_tracker
# # Daily Questions
# daily_questions = {
# "activity": "What activity did you engage in today?",
# "id_value": "Enter an ID value:",
# "positive": "Did you experience something positive today?",
# "mood": "Rate your mood on a scale of 1 to 10:",
# # Add more daily questions as needed
# }
# # Ask daily questions
# mental_health_tracker.ask_daily_questions(daily_questions)
# if st.button("Save Daily Answers"):
# st.button("Save Daily Answers", key="save_button")
# mental_health_tracker.save_daily_answers_to_deta(my_db)
# if __name__ == "__main__":
# main()
# import streamlit as st
# from datetime import datetime
# from deta import Deta
# # Load the environment variables
# DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # Initialize with a project key
# deta = Deta(DETA_KEY)
# # Create Deta Base instance
# my_db = deta.Base("data_reports")
# # Ask questions before entries
# st.header("Daily Entry Questions")
# # Dynamic input fields for user data
# st.subheader("Entry")
# activity = st.text_input(f"What activity did you engage in today?", value="")
# user_id = st.text_input(f"Enter an ID value: (User ID)", value="")
# positive = st.text_input(f"Did you experience something positive today?", value="")
# mood = st.text_input(f"Rate your mood on a scale of 1 to 10:", value="")
# # Add current date and time to the entry
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# entry = {
# "Timestamp": timestamp,
# "Activity": activity,
# "ID": user_id,
# "Positive": positive,
# "Mood": mood,
# }
# # Insert data into the Deta Base
# if st.button("Save Entry"):
# result = my_db.put(entry)
# st.success("Entry saved successfully:")
# st.write(result)
# import streamlit as st
# from datetime import datetime
# from deta import Deta
# # Load the environment variables
# DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # Initialize with a project key
# deta = Deta(DETA_KEY)
# # Create Deta Base instance
# my_db = deta.Base("bright_psych_data")
# # Custom CSS
# custom_css = """
# <style>
# .main {
# background-color: #14839f;
# }
# .custom-header {
# color: #ffffff; /* Set your desired color for headers */
# font-size: 40px;
# font-weight: bold;
# margin-bottom: 10px;
# text-align: center;
# }
# .custom-subheader {
# color: #ffffff; /* Set your desired color for subheaders */
# font-size: 18px;
# margin-bottom: 5px;
# font-weight: bold;
# }
# </style>
# """
# st.markdown(custom_css, unsafe_allow_html=True)
# # Ask questions before entries
# st.markdown('<p class="custom-header">Daily Mood Tracker</p>', unsafe_allow_html=True)
# current_date = datetime.now().strftime("%Y-%m-%d")
# st.markdown(f'<p class="current-date">Date: {current_date}</p>', unsafe_allow_html=True)
# # Dynamic input fields for user data
# st.markdown('<p class="custom-subheader">Entry</p>', unsafe_allow_html=True)
# user_id = st.text_input("Enter an ID value: (User ID)", key="user_id_input", value="")
# Name = st.text_input("Enter your name:", key="name", value="")
# activity = st.text_input("What activity did you engage in today?", key="activity_input", value="")
# positive = st.text_input("Did you experience something positive today?", key="positive_input", value="")
# mood = st.text_input("Rate your mood on a scale of 1 to 10:", key="mood_input", value="")
# # Additional questions
# sleep_quality = st.slider("How well did you sleep last night? (Rate from 1 to 10)", 1, 10, 5, key="sleep_quality_input")
# stress_levels = st.slider("On a scale of 1 to 10, how would you rate your stress levels today?", 1, 10, 5, key="stress_levels_input")
# mindfulness = st.radio("Did you practice mindfulness or meditation today?", ["Yes", "No"], key="mindfulness_input")
# connection_to_others = st.slider("How connected do you feel to others? (Rate from 1 to 10)", 1, 10, 5, key="connection_to_others_input")
# # Add current date and time to the entry
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# entry = {
# "Timestamp": timestamp,
# "Activity": activity,
# "ID": user_id,
# "Positive": positive,
# "Mood": mood,
# "SleepQuality": sleep_quality,
# "StressLevels": stress_levels,
# "Mindfulness": mindfulness,
# "ConnectionToOthers": connection_to_others,
# "Name": Name,
# }
# # Insert data into the Deta Base
# if st.button("Save Entry"):
# result = my_db.put(entry)
# st.success("Entry saved successfully:")
# st.write(result)
# import streamlit as st
# from datetime import datetime
# from deta import Deta
# import plotly.express as px
# import pandas as pd
# # Load the environment variables
# DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# # Initialize with a project key
# deta = Deta(DETA_KEY)
# # Create Deta Base instance
# my_db = deta.Base("bright_psych_data")
# # Custom CSS
# custom_css = """
# <style>
# .main {
# background-color: #14839f;
# }
# .custom-header {
# color: #ffffff; /* Set your desired color for headers */
# font-size: 40px;
# font-weight: bold;
# margin-bottom: 10px;
# text-align: center;
# }
# .custom-subheader {
# color: #ffffff; /* Set your desired color for subheaders */
# font-size: 18px;
# margin-bottom: 5px;
# font-weight: bold;
# }
# </style>
# """
# st.markdown(custom_css, unsafe_allow_html=True)
# # Ask questions before entries
# st.markdown('<p class="custom-header">Daily Mood Tracker</p>', unsafe_allow_html=True)
# current_date = datetime.now().strftime("%Y-%m-%d")
# st.markdown(f'<p class="current-date">Date: {current_date}</p>', unsafe_allow_html=True)
# # Dynamic input fields for user data
# st.markdown('<p class="custom-subheader">Entry</p>', unsafe_allow_html=True)
# user_id = st.text_input("Enter an ID value: (User ID)", key="user_id_input", value="")
# Name = st.text_input("Enter your name:", key="name", value="")
# activity = st.text_input("What activity did you engage in today?", key="activity_input", value="")
# positive = st.text_input("Did you experience something positive today?", key="positive_input", value="")
# mood = st.text_input("Rate your mood on a scale of 1 to 10:", key="mood_input", value="")
# # Additional questions
# sleep_quality = st.slider("How well did you sleep last night? (Rate from 1 to 10)", 1, 10, 5, key="sleep_quality_input")
# stress_levels = st.slider("On a scale of 1 to 10, how would you rate your stress levels today?", 1, 10, 5, key="stress_levels_input")
# mindfulness = st.radio("Did you practice mindfulness or meditation today?", ["Yes", "No"], key="mindfulness_input")
# connection_to_others = st.slider("How connected do you feel to others? (Rate from 1 to 10)", 1, 10, 5, key="connection_to_others_input")
# # Add current date and time to the entry
# timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
# entry = {
# "Timestamp": timestamp,
# "Activity": activity,
# "ID": user_id,
# "Positive": positive,
# "Mood": mood,
# "SleepQuality": sleep_quality,
# "StressLevels": stress_levels,
# "Mindfulness": mindfulness,
# "ConnectionToOthers": connection_to_others,
# "Name": Name,
# }
# # Insert data into the Deta Base
# if st.button("Save Entry"):
# result = my_db.put(entry)
# st.success("Entry saved successfully:")
# st.write(result)
# # Data Analysis and Bar Charts
# st.markdown('<p class="custom-header">Data Analysis</p>', unsafe_allow_html=True)
# # Retrieve all entries from the Deta Base
# entries = my_db.fetch().items
# # Group entries by user ID
# grouped_entries = {}
# for entry in entries:
# user_id = entry.get("ID")
# if user_id not in grouped_entries:
# grouped_entries[user_id] = []
# grouped_entries[user_id].append(entry)
# # Show bar charts for Mood, Connections to Others, Stress Levels, and Sleep Quality
# st.markdown('<p class="custom-subheader">Bar Charts for Each Person</p>', unsafe_allow_html=True)
# for user_id, user_entries in grouped_entries.items():
# st.markdown(f'<p class="custom-subheader">User ID: {user_id}</p>', unsafe_allow_html=True)
# df_user = pd.DataFrame(user_entries)
# # Bar chart for Mood
# fig_mood = px.bar(df_user, x="Timestamp", y="Mood", labels={'y': 'Mood'}, title=f'Mood for User ID: {user_id}')
# st.plotly_chart(fig_mood, use_container_width=True)
# # Bar chart for Connections to Others
# fig_connections = px.bar(df_user, x="Timestamp", y="ConnectionToOthers", labels={'y': 'Connections to Others'},
# title=f'Connections to Others for User ID: {user_id}')
# st.plotly_chart(fig_connections, use_container_width=True)
# # Bar chart for Stress Levels
# fig_stress = px.bar(df_user, x="Timestamp", y="StressLevels", labels={'y': 'Stress Levels'},
# title=f'Stress Levels for User ID: {user_id}')
# st.plotly_chart(fig_stress, use_container_width=True)
# # Bar chart for Sleep Quality
# fig_sleep_quality = px.bar(df_user, x="Timestamp", y="SleepQuality", labels={'y': 'Sleep Quality'},
# title=f'Sleep Quality for User ID: {user_id}')
# st.plotly_chart(fig_sleep_quality, use_container_width=True)
import streamlit as st
from datetime import datetime
from deta import Deta
import plotly.express as px
import pandas as pd
from streamlit.components.v1 import html
# Load the environment variables
DETA_KEY = "d0z8gryt9dj_HMVcfkbW7ZYYVeyz3xakbf48ZZGAxUtp"
# Initialize with a project key
deta = Deta(DETA_KEY)
# Create Deta Base instance
my_db = deta.Base("bright_psych_data")
# Custom CSS
custom_css = """
<style>
.main {
background-image: radial-gradient(circle, #81b7c9,#0986b0);
}
.custom-header {
color: #ffffff;
font-size: 40px;
font-weight: bold;
margin-bottom: 10px;
text-align: center;
}
.custom-subheader {
color: #ffffff;
font-size: 18px;
margin-bottom: 5px;
font-weight: bold;
}
</style>
"""
st.markdown(custom_css, unsafe_allow_html=True)
# Ask questions before entries
st.markdown('<p class="custom-header">Daily Mood Tracker</p>', unsafe_allow_html=True)
current_date = datetime.now().strftime("%Y-%m-%d")
st.markdown(f'<p class="current-date">Date: {current_date}</p>', unsafe_allow_html=True)
# Dynamic input fields for user data
st.markdown('<p class="custom-subheader">Entry</p>', unsafe_allow_html=True)
user_id = st.text_input("Enter an ID value: (User ID)", key="user_id_input", value="")
Name = st.text_input("Enter your name:", key="name", value="")
activity = st.text_input("What activity did you engage in today?", key="activity_input", value="")
positive = st.text_input("Did you experience something positive today?", key="positive_input", value="")
mood = st.text_input("Rate your mood on a scale of 1 to 10:", key="mood_input", value="")
# Additional questions
sleep_quality = st.slider("How well did you sleep last night? (Rate from 1 to 10)", 1, 10, 5, key="sleep_quality_input")
stress_levels = st.slider("On a scale of 1 to 10, how would you rate your stress levels today?", 1, 10, 5, key="stress_levels_input")
mindfulness = st.radio("Did you practice mindfulness or meditation today?", ["Yes", "No"], key="mindfulness_input")
connection_to_others = st.slider("How connected do you feel to others? (Rate from 1 to 10)", 1, 10, 5, key="connection_to_others_input")
# Add current date and time to the entry
timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
entry = {
"Timestamp": timestamp,
"Activity": activity,
"ID": user_id,
"Positive": positive,
"Mood": mood,
"SleepQuality": sleep_quality,
"StressLevels": stress_levels,
"Mindfulness": mindfulness,
"ConnectionToOthers": connection_to_others,
"Name": Name,
}
# Insert data into the Deta Base
if st.button("Save Entry"):
result = my_db.put(entry)
st.success("Entry saved successfully:")
st.write(result)
# Data Analysis and Bar Charts
st.markdown('<p class="custom-header">Data Analysis</p>', unsafe_allow_html=True)
# Retrieve all entries from the Deta Base
entries = my_db.fetch().items
# Group entries by user ID
grouped_entries = {}
for entry in entries:
user_id = entry.get("ID")
if user_id not in grouped_entries:
grouped_entries[user_id] = []
grouped_entries[user_id].append(entry)
# Show bar charts for Mood, Connections to Others, Stress Levels, and Sleep Quality
st.markdown('<p class="custom-subheader">Bar Charts</p>', unsafe_allow_html=True)
# Dropdown to select a specific user ID
selected_user_id = st.selectbox("Select User ID", list(grouped_entries.keys()))
# Display bar charts for the selected user
st.markdown(f'<p class="custom-subheader">User ID: {selected_user_id}</p>', unsafe_allow_html=True)
df_selected_user = pd.DataFrame(grouped_entries[selected_user_id])
# Bar chart for Mood
fig_mood = px.bar(df_selected_user, x="Timestamp", y="Mood", labels={'y': 'Mood'}, title=f'Mood for User ID: {selected_user_id}')
st.plotly_chart(fig_mood, use_container_width=True)
# Bar chart for Connections to Others
fig_connections = px.bar(df_selected_user, x="Timestamp", y="ConnectionToOthers", labels={'y': 'Connections to Others'},
title=f'Connections to Others for User ID: {selected_user_id}')
st.plotly_chart(fig_connections, use_container_width=True)
# Bar chart for Stress Levels
fig_stress = px.bar(df_selected_user, x="Timestamp", y="StressLevels", labels={'y': 'Stress Levels'},
title=f'Stress Levels for User ID: {selected_user_id}')
st.plotly_chart(fig_stress, use_container_width=True)
# Bar chart for Sleep Quality
fig_sleep = px.bar(df_selected_user, x="Timestamp", y="SleepQuality", labels={'y': 'Sleep Quality'},
title=f'Sleep Quality for User ID: {selected_user_id}')
st.plotly_chart(fig_sleep, use_container_width=True)
from streamlit.components.v1 import html
# Define your javascript
my_js = """
alert("Please don't forget to enter you daily details!!!");
"""
# Wrapt the javascript as html code
my_html = f"<script>{my_js}</script>"
# Execute your app
html(my_html)