Mental Health Journal Analyzer

 import streamlit as st

from textblob import TextBlob

import pandas as pd

import matplotlib.pyplot as plt

from datetime import datetime, timedelta

import os

# CSV to store journal data

DATA_FILE = "journal_data.csv"

# Function to analyze sentiment

def analyze_sentiment(text):

    blob = TextBlob(text)

    return blob.sentiment.polarity  # -1 to 1

# Load data

def load_data():

    if os.path.exists(DATA_FILE):

        return pd.read_csv(DATA_FILE, parse_dates=['date'])

    else:

        return pd.DataFrame(columns=["date", "entry", "sentiment"])

# Save data

def save_data(entry, sentiment):

    new_data = pd.DataFrame({

        "date": [datetime.now().date()],

        "entry": [entry],

        "sentiment": [sentiment]

    })

    data = load_data()

    data = pd.concat([data, new_data], ignore_index=True)

    data.to_csv(DATA_FILE, index=False)

# Weekly sentiment plot

def plot_sentiment(data):

    recent = data[data['date'] >= (datetime.now().date() - timedelta(days=6))]

    daily_avg = recent.groupby('date')['sentiment'].mean().reset_index()

    plt.figure(figsize=(10, 4))

    plt.plot(daily_avg['date'], daily_avg['sentiment'], marker='o', linestyle='-')

    plt.title("🧠 Weekly Mental Wellness Trend")

    plt.xlabel("Date")

    plt.ylabel("Sentiment Score")

    plt.ylim(-1, 1)

    plt.axhline(0, color='gray', linestyle='--')

    plt.grid(True)

    st.pyplot(plt)

# ---------------- STREAMLIT APP ----------------

st.set_page_config(page_title="Mental Health Journal Analyzer", layout="centered")

st.title("🧠 Mental Health Journal Analyzer")

st.markdown("Write your daily mood journal and analyze your wellness trend.")

# Input

journal_entry = st.text_area("Write today's journal entry:", height=150)

if st.button("Analyze & Save"):

    if journal_entry.strip():

        sentiment = analyze_sentiment(journal_entry)

        save_data(journal_entry, sentiment)

        st.success(f"Entry saved! Sentiment Score: {sentiment:.2f}")

    else:

        st.warning("Please write something in your journal.")

# Load and plot

data = load_data()

if not data.empty:

    st.subheader("📊 Weekly Sentiment Trend")

    plot_sentiment(data)