app.py

import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt

# Initialize session state for storing mood logs
if "mood_data" not in st.session_state:
    st.session_state.mood_data = pd.DataFrame(columns=["Date", "Mood", "Activity", "Notes"])

# App title and description
st.title("Mood Tracker")
st.write("A simple app to log and track your mood over time.")

# Sidebar for mood input
st.sidebar.header("Log Your Mood")
mood = st.sidebar.selectbox("How are you feeling today?", ["Happy", "Neutral", "Sad", "Anxious", "Excited", "Angry"])
activity = st.sidebar.text_input("What activity were you doing?")
notes = st.sidebar.text_area("Add any notes (optional):")
log_button = st.sidebar.button("Log Mood")

# Log the mood
if log_button:
    new_entry = pd.DataFrame({
        "Date": [dt.datetime.now()],
        "Mood": [mood],
        "Activity": [activity],
        "Notes": [notes]
    })
    st.session_state.mood_data = pd.concat([st.session_state.mood_data, new_entry], ignore_index=True)
    st.success("Mood logged successfully!")

# Display mood data
st.header("Mood History")
if not st.session_state.mood_data.empty:
    st.dataframe(st.session_state.mood_data.sort_values(by="Date", ascending=False))
else:
    st.write("No mood data logged yet. Use the sidebar to add entries.")

# Visualize mood trends
st.header("Mood Trends")
if not st.session_state.mood_data.empty:
    # Convert date column to datetime for grouping
    st.session_state.mood_data["Date"] = pd.to_datetime(st.session_state.mood_data["Date"])
    mood_counts = st.session_state.mood_data.groupby(["Mood"]).size()

    # Bar chart for mood distribution
    fig, ax = plt.subplots()
    mood_counts.plot(kind="bar", color="skyblue", ax=ax)
    ax.set_title("Mood Distribution")
    ax.set_ylabel("Count")
    ax.set_xlabel("Mood")
    st.pyplot(fig)

    # Trend over time
    mood_over_time = st.session_state.mood_data.groupby(st.session_state.mood_data["Date"].dt.date).size()
    fig, ax = plt.subplots()
    mood_over_time.plot(ax=ax, marker="o", color="orange")
    ax.set_title("Mood Over Time")
    ax.set_ylabel("Entries")
    ax.set_xlabel("Date")
    st.pyplot(fig)
else:
    st.write("No data available for visualizations.")

# Resources for mental health
st.header("Mental Health Resources")
st.write("Here are some tips and resources to help improve your mental health:")
st.markdown("- Practice mindfulness and deep breathing.")
st.markdown("- Stay physically active.")
st.markdown("- Talk to a trusted friend or counselor.")
st.markdown("- [Find a therapist](https://www.psychologytoday.com)")