app.py

import streamlit as st
import pandas as pd
import os
from dotenv import load_dotenv
import plotly.express as px
from utils.text_analysis import analyze_text
from utils.resources import get_resources, filter_resources

# Load environment variables
load_dotenv()

# Page configuration
st.set_page_config(
    page_title="MindGuard - Mental Health Support",
    page_icon="🛡️",
    layout="wide",
    initial_sidebar_state="expanded"
)

# Custom CSS for better styling
st.markdown("""
<style>
    .main-header {
        font-size: 2.5rem;
        color: #4f8bf9;
        margin-bottom: 1rem;
    }
    .sub-header {
        font-size: 1.5rem;
        color: #6c757d;
        margin-bottom: 1rem;
    }
    .disclaimer {
        background-color: #f8f9fa;
        padding: 1rem;
        border-radius: 0.5rem;
        margin: 1rem 0;
        border-left: 5px solid #4f8bf9;
    }
    .resource-card {
        background-color: #f8f9fa;
        padding: 1rem;
        border-radius: 0.5rem;
        margin-bottom: 1rem;
        border-left: 5px solid #28a745;
    }
</style>
""", unsafe_allow_html=True)

# App header
st.markdown("<h1 class='main-header'>MindGuard 🛡️</h1>", unsafe_allow_html=True)
st.markdown("<p class='sub-header'>A privacy-focused, AI-driven mental health support tool</p>", unsafe_allow_html=True)

# Sidebar for navigation
st.sidebar.title("Navigation")
page = st.sidebar.radio("Go to", ["Text Analysis", "Resource Hub", "About & Ethics"])

# Text Analysis Page
if page == "Text Analysis":
    st.header("Text Analysis & Risk Detection")
    
    # Privacy notice
    st.markdown("""
    <div class="disclaimer">
        <strong>Privacy Notice:</strong> Your text is not stored. We use AI to analyze your text for potential 
        mental health concerns and provide supportive resources. This is not a diagnostic tool.
    </div>
    """, unsafe_allow_html=True)
    
    # Text input options
    input_type = st.radio("Select input type:", ["Direct Text Entry", "Social Media Post", "Journal Entry"])
    
    # Text input with appropriate placeholder based on selection
    placeholder_text = {
        "Direct Text Entry": "Type or paste your text here...",
        "Social Media Post": "Paste your social media post here...",
        "Journal Entry": "Paste your journal entry here..."
    }
    
    user_text = st.text_area("Enter your text:", height=200, placeholder=placeholder_text[input_type])
    
    # Analysis button
    if st.button("Analyze Text"):
        if not user_text:
            st.warning("Please enter some text to analyze.")
        else:
            with st.spinner("Analyzing your text..."):
                # Call the analyze_text function from utils
                analysis_result = analyze_text(user_text)
                
                # Display analysis results
                st.subheader("Analysis Results")
                
                # Display supportive message
                st.markdown(f"<div class='disclaimer'>{analysis_result['supportive_message']}</div>", 
                            unsafe_allow_html=True)
                
                # Display recommended resources
                st.subheader("Recommended Resources")
                for resource in analysis_result['recommended_resources']:
                    st.markdown(f"""
                    <div class="resource-card">
                        <strong>{resource['name']}</strong><br>
                        {resource['description']}<br>
                        <a href="{resource['link']}" target="_blank">{resource['link']}</a>
                    </div>
                    """, unsafe_allow_html=True)
                
                # Explain the analysis (transparency)
                with st.expander("How was this analysis performed?"):
                    st.write(analysis_result['explanation'])
    
    # Disclaimer at bottom of page
    st.markdown("""
    <div class="disclaimer" style="margin-top: 2rem;">
        <strong>Important:</strong> If you're experiencing an emergency or crisis, please call your local 
        emergency services or a crisis hotline immediately. MindGuard is not a substitute for professional help.
    </div>
    """, unsafe_allow_html=True)

# Resource Hub Page
elif page == "Resource Hub":
    st.header("Mental Health Resource Hub")
    
    st.write("Find resources tailored to specific mental health concerns.")
    
    # Filter options
    col1, col2 = st.columns(2)
    with col1:
        issue_type = st.multiselect(
            "Filter by issue:",
            ["Anxiety", "Depression", "Eating Disorders", "Substance Use", "Self-harm", 
             "Suicidal Thoughts", "Grief", "PTSD", "OCD", "General Mental Health"]
        )
    
    with col2:
        location = st.selectbox(
            "Filter by location:",
            ["All Locations", "United States", "Canada", "United Kingdom", "Australia", "Global"]
        )
    
    # Resource type filter
    resource_type = st.multiselect(
        "Filter by resource type:",
        ["Hotlines", "Online Communities", "Apps", "Therapy Services", "Educational Resources"]
    )
    
    # Get filtered resources
    resources = filter_resources(issue_type, location, resource_type)
    
    # Display resources
    if resources:
        for resource in resources:
            st.markdown(f"""
            <div class="resource-card">
                <strong>{resource['name']}</strong><br>
                <strong>Type:</strong> {resource['type']}<br>
                <strong>Focus:</strong> {', '.join(resource['issues'])}<br>
                <strong>Location:</strong> {resource['location']}<br>
                {resource['description']}<br>
                <a href="{resource['link']}" target="_blank">{resource['link']}</a>
            </div>
            """, unsafe_allow_html=True)
    else:
        st.info("No resources found matching your filters. Try adjusting your criteria.")
    
    # Add resource suggestion form
    with st.expander("Suggest a Resource"):
        st.write("Help us improve our resource database by suggesting additional resources.")
        resource_name = st.text_input("Resource Name")
        resource_link = st.text_input("Resource Link")
        resource_description = st.text_area("Brief Description")
        resource_issues = st.multiselect(
            "Related Issues",
            ["Anxiety", "Depression", "Eating Disorders", "Substance Use", "Self-harm", 
             "Suicidal Thoughts", "Grief", "PTSD", "OCD", "General Mental Health"]
        )
        
        if st.button("Submit Suggestion"):
            if resource_name and resource_link and resource_description:
                st.success("Thank you for your suggestion! We'll review it soon.")
                # Here you would typically save this to a database
            else:
                st.warning("Please fill in all required fields.")

# About & Ethics Page
else:
    st.header("About MindGuard & Our Ethical Approach")
    
    st.subheader("Our Mission")
    st.write("""
    MindGuard is designed to provide supportive resources and guidance for individuals who may be 
    experiencing mental health challenges. We aim to connect people with appropriate resources while 
    maintaining the highest standards of privacy, ethics, and care.
    """)
    
    st.subheader("How MindGuard Works")
    st.write("""
    MindGuard uses natural language processing and artificial intelligence to analyze text for potential 
    signs of mental health concerns. Our system is designed to be supportive rather than diagnostic, 
    and focuses on connecting users with appropriate resources.
    """)
    
    # Diagram of how it works
    st.image("https://via.placeholder.com/800x400?text=How+MindGuard+Works+(Diagram)", 
             caption="Diagram of MindGuard's analysis process")
    
    st.subheader("Our Ethical Principles")
    
    col1, col2 = st.columns(2)
    
    with col1:
        st.markdown("""
        **Privacy First**
        - Your text is not stored
        - No personal data collection
        - Transparent processing
        
        **Non-Diagnostic Approach**
        - We do not diagnose conditions
        - Focus on supportive resources
        - Encourage professional help
        """)
    
    with col2:
        st.markdown("""
        **Bias Mitigation**
        - Regular testing for biases
        - Diverse training data
        - Continuous improvement
        
        **Accessibility**
        - Simple language
        - Mobile-friendly design
        - Free to use
        """)
    
    st.subheader("Data & Privacy")
    st.write("""
    MindGuard does not store any of the text you submit for analysis. All processing is done in real-time, 
    and no personal data is retained. We use anonymized feedback only to improve the system's helpfulness.
    """)
    
    st.subheader("Limitations")
    st.write("""
    MindGuard is not a substitute for professional mental health care. Our AI-based analysis has limitations 
    and should not be used as a diagnostic tool. Always consult with qualified mental health professionals 
    for proper evaluation and treatment.
    """)
    
    # Feedback form
    st.subheader("Help Us Improve")
    with st.form("feedback_form"):
        st.write("We value your feedback to improve MindGuard.")
        feedback_rating = st.slider("How helpful was MindGuard?", 1, 5, 3)
        feedback_text = st.text_area("Any suggestions for improvement?")
        feedback_submitted = st.form_submit_button("Submit Feedback")
        
        if feedback_submitted:
            st.success("Thank you for your feedback!")