| import streamlit as st |
| from src.utils.config import config |
|
|
|
|
| def show_settings_interface(): |
| """Display the settings interface.""" |
|
|
| st.header("⚙️ Settings") |
| st.markdown("Configure your Lega.AI experience") |
|
|
| |
| tab1, tab2, tab3, tab4 = st.tabs( |
| ["🔑 API Keys", "🎨 Preferences", "📊 Usage", "ℹ️ About"] |
| ) |
|
|
| with tab1: |
| show_api_settings() |
|
|
| with tab2: |
| show_preference_settings() |
|
|
| with tab3: |
| show_usage_stats() |
|
|
| with tab4: |
| show_about_info() |
|
|
|
|
| def show_api_settings(): |
| """Display API key configuration.""" |
| st.subheader("🔑 API Configuration") |
|
|
| |
| api_key_configured = bool( |
| config.GOOGLE_API_KEY and config.GOOGLE_API_KEY != "your-google-api-key-here" |
| ) |
|
|
| if api_key_configured: |
| st.success("✅ Google AI API key is configured") |
| else: |
| st.warning("⚠️ Google AI API key not configured") |
| st.markdown( |
| """ |
| To use Lega.AI's AI features, you need to configure your Google AI API key: |
| |
| 1. Go to [Google AI Studio](https://makersuite.google.com/) |
| 2. Create a new API key |
| 3. Copy the key and add it to your `.env` file |
| 4. Set `GOOGLE_API_KEY=your_actual_api_key` |
| 5. Restart the application |
| """ |
| ) |
|
|
| |
| st.markdown("---") |
| st.subheader("🔧 Update API Key") |
|
|
| with st.form("api_key_form"): |
| new_api_key = st.text_input( |
| "Google AI API Key", |
| type="password", |
| placeholder="Enter your Google AI API key", |
| help="This will be saved to your environment configuration", |
| ) |
|
|
| submitted = st.form_submit_button("Update API Key") |
|
|
| if submitted: |
| if new_api_key.strip(): |
| st.success( |
| "✅ API key updated! Please restart the application for changes to take effect." |
| ) |
| st.info("💡 Don't forget to update your `.env` file with the new key.") |
| else: |
| st.error("❌ Please enter a valid API key") |
|
|
|
|
| def show_preference_settings(): |
| """Display user preference settings.""" |
| st.subheader("🎨 User Preferences") |
|
|
| |
| st.markdown("#### 🌐 Language & Region") |
|
|
| col1, col2 = st.columns(2) |
|
|
| with col1: |
| language = st.selectbox( |
| "Interface Language", |
| ["English", "Hindi", "Tamil", "Telugu", "Gujarati"], |
| help="Language for the user interface", |
| ) |
|
|
| with col2: |
| region = st.selectbox( |
| "Legal Region", |
| ["India", "Maharashtra", "Delhi", "Karnataka", "Tamil Nadu"], |
| help="Legal jurisdiction for document analysis", |
| ) |
|
|
| |
| st.markdown("#### 📊 Analysis Preferences") |
|
|
| risk_sensitivity = st.slider( |
| "Risk Detection Sensitivity", |
| min_value=1, |
| max_value=5, |
| value=3, |
| help="1 = Only critical risks, 5 = All potential concerns", |
| ) |
|
|
| simplification_level = st.selectbox( |
| "Text Simplification Level", |
| ["Basic", "Intermediate", "Advanced"], |
| index=1, |
| help="How much to simplify legal language", |
| ) |
|
|
| show_suggestions = st.checkbox( |
| "Show improvement suggestions", |
| value=True, |
| help="Display suggestions for problematic clauses", |
| ) |
|
|
| |
| st.markdown("#### 🔔 Notifications") |
|
|
| email_notifications = st.checkbox( |
| "Email notifications for analysis completion", value=False |
| ) |
|
|
| browser_notifications = st.checkbox("Browser notifications", value=True) |
|
|
| |
| if st.button("💾 Save Preferences", type="primary"): |
| |
| st.success("✅ Preferences saved successfully!") |
|
|
|
|
| def show_usage_stats(): |
| """Display usage statistics.""" |
| st.subheader("📊 Usage Statistics") |
|
|
| |
| col1, col2, col3 = st.columns(3) |
|
|
| with col1: |
| st.metric(label="Documents Analyzed", value="47", delta="12 this month") |
|
|
| with col2: |
| st.metric(label="Questions Asked", value="156", delta="23 this week") |
|
|
| with col3: |
| st.metric(label="Risks Identified", value="89", delta="High: 12, Medium: 31") |
|
|
| |
| st.markdown("#### 📄 Analysis by Document Type") |
|
|
| usage_data = { |
| "Rental Agreements": 18, |
| "Loan Contracts": 12, |
| "Employment Contracts": 8, |
| "Service Agreements": 6, |
| "NDAs": 3, |
| } |
|
|
| for doc_type, count in usage_data.items(): |
| progress = count / max(usage_data.values()) |
| st.markdown(f"**{doc_type}**: {count} documents") |
| st.progress(progress) |
|
|
| |
| st.markdown("#### 💾 Storage Usage") |
|
|
| storage_used = 2.4 |
| storage_limit = 5.0 |
|
|
| st.progress(storage_used / storage_limit) |
| st.markdown( |
| f"**{storage_used:.1f} GB** used of **{storage_limit:.1f} GB** available" |
| ) |
|
|
| |
| st.markdown("#### 👤 Account Information") |
|
|
| col1, col2 = st.columns(2) |
|
|
| with col1: |
| st.info("**Plan**: Free Tier") |
| st.markdown( |
| """ |
| - 10 documents per month |
| - Basic AI analysis |
| - Email support |
| """ |
| ) |
|
|
| with col2: |
| st.markdown("**Upgrade Benefits**:") |
| st.markdown( |
| """ |
| - Unlimited documents |
| - Advanced AI features |
| - Priority support |
| - Bulk processing |
| """ |
| ) |
|
|
| if st.button("🚀 Upgrade to Pro", type="primary"): |
| st.info("Upgrade functionality would be implemented here") |
|
|
|
|
| def show_about_info(): |
| """Display about information.""" |
| st.subheader("ℹ️ About Lega.AI") |
|
|
| |
| col1, col2 = st.columns([2, 1]) |
|
|
| with col1: |
| st.markdown( |
| """ |
| **Lega.AI** is an AI-powered platform that makes legal documents accessible to everyone. |
| |
| ### 🎯 Mission |
| To democratize legal document understanding by providing instant AI analysis, |
| risk assessment, and plain language explanations. |
| |
| ### ✨ Features |
| - **Document Analysis**: Upload and analyze any legal document |
| - **Risk Assessment**: Color-coded risk scoring with explanations |
| - **Plain Language**: Convert legal jargon to simple English |
| - **Q&A Assistant**: Ask questions about your documents |
| - **Smart Search**: Find similar clauses and documents |
| - **Export Reports**: Generate comprehensive analysis reports |
| |
| ### 🛡️ Privacy & Security |
| - Your documents are processed securely |
| - No data is shared with third parties |
| - Local vector storage for document similarity |
| - GDPR compliant data handling |
| """ |
| ) |
|
|
| with col2: |
| st.markdown( |
| """ |
| ### 📊 Version Info |
| **Version**: 1.0.0 |
| **Build**: 2025.09.21 |
| **Engine**: Google Gemini |
| |
| ### 🔧 Tech Stack |
| - **Frontend**: Streamlit |
| - **AI/ML**: LangChain + Gemini |
| - **Vector DB**: Chroma |
| - **Embeddings**: Google Embeddings |
| |
| ### 📞 Support |
| - **Email**: support@lega.ai |
| - **Docs**: github.com/codernoahx/Lega.AI/README.md |
| - **GitHub**: github.com/codernoahx/Lega.AI |
| """ |
| ) |
|
|
| |
| st.markdown("---") |
| st.markdown( |
| """ |
| ### ⚖️ Legal Notice |
| |
| **Disclaimer**: Lega.AI provides AI-powered analysis for informational purposes only. |
| This is not legal advice. Always consult with qualified legal professionals for |
| important legal matters. |
| |
| **Data Usage**: By using this service, you agree to our Terms of Service and Privacy Policy. |
| Your documents are processed to provide analysis but are not used to train AI models. |
| |
| © 2025 Lega.AI. All rights reserved. |
| """ |
| ) |
|
|
| |
| st.markdown("---") |
| st.subheader("💬 Feedback") |
|
|
| with st.form("feedback_form"): |
| feedback_type = st.selectbox( |
| "Feedback Type", |
| ["General Feedback", "Bug Report", "Feature Request", "Question"], |
| ) |
|
|
| feedback_text = st.text_area( |
| "Your Feedback", |
| placeholder="Tell us what you think or report any issues...", |
| height=100, |
| ) |
|
|
| submitted = st.form_submit_button("Send Feedback") |
|
|
| if submitted and feedback_text.strip(): |
| st.success("✅ Thank you for your feedback! We'll review it soon.") |
| elif submitted: |
| st.error("❌ Please enter your feedback before submitting.") |
|
|
