ALwrity Version 0.5.1 (Fastapi + React)
This commit is contained in:
ajaysi
973
ToBeMigrated/alwrity_ui/settings_page.py
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973
ToBeMigrated/alwrity_ui/settings_page.py
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import streamlit as st
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from loguru import logger
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import asyncio
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from lib.web_crawlers.async_web_crawler import AsyncWebCrawlerService
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from lib.personalization.style_analyzer import StyleAnalyzer
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from lib.alwrity_ui.dashboard_styles import apply_dashboard_style, render_dashboard_header
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import sys
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# Configure logger
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logger.remove() # Remove default handler
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logger.add(
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"logs/settings_page.log",
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rotation="500 MB",
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retention="10 days",
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level="DEBUG",
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format="{time:YYYY-MM-DD HH:mm:ss} | {level} | {message}",
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backtrace=True,
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diagnose=True
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)
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logger.add(
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sys.stdout,
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level="INFO",
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format="<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{message}</cyan>"
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)
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def display_style_analysis(analysis_results: dict):
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"""Display the style analysis results in a structured format with premium styling."""
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try:
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# Writing Style Section
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st.markdown("""
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<div class="analysis-section">
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<div class="section-icon">🎨</div>
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<h3>Writing Style Analysis</h3>
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</div>
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""", unsafe_allow_html=True)
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writing_style = analysis_results.get("writing_style", {})
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Tone:</span>
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<span class="metric-value">{writing_style.get("tone", "N/A")}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Voice:</span>
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<span class="metric-value">{writing_style.get("voice", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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with col2:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Complexity:</span>
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<span class="metric-value">{writing_style.get("complexity", "N/A")}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Engagement:</span>
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<span class="metric-value">{writing_style.get("engagement_level", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# Content Characteristics Section
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st.markdown("""
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<div class="analysis-section">
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<div class="section-icon">📊</div>
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<h3>Content Characteristics</h3>
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</div>
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""", unsafe_allow_html=True)
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content_chars = analysis_results.get("content_characteristics", {})
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Sentence Structure:</span>
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<span class="metric-value">{content_chars.get("sentence_structure", "N/A")}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Vocabulary Level:</span>
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<span class="metric-value">{content_chars.get("vocabulary_level", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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with col2:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Organization:</span>
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<span class="metric-value">{content_chars.get("paragraph_organization", "N/A")}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Content Flow:</span>
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<span class="metric-value">{content_chars.get("content_flow", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# Target Audience Section
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st.markdown("""
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<div class="analysis-section">
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<div class="section-icon">🎯</div>
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<h3>Target Audience</h3>
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</div>
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""", unsafe_allow_html=True)
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target_audience = analysis_results.get("target_audience", {})
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Demographics:</span>
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<span class="metric-value">{', '.join(target_audience.get("demographics", ["N/A"]))}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Expertise Level:</span>
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<span class="metric-value">{target_audience.get("expertise_level", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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with col2:
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st.markdown(f"""
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<div class="analysis-card">
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<div class="metric-item">
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<span class="metric-label">Industry Focus:</span>
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<span class="metric-value">{target_audience.get("industry_focus", "N/A")}</span>
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</div>
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<div class="metric-item">
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<span class="metric-label">Geographic Focus:</span>
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<span class="metric-value">{target_audience.get("geographic_focus", "N/A")}</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# Recommended Settings Section
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st.markdown("""
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<div class="analysis-section">
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<div class="section-icon">⚙️</div>
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<h3>Recommended Settings</h3>
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</div>
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""", unsafe_allow_html=True)
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recommended = analysis_results.get("recommended_settings", {})
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st.markdown(f"""
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<div class="recommendations-grid">
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<div class="recommendation-card">
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<div class="rec-icon">🎭</div>
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<div class="rec-label">Writing Tone</div>
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<div class="rec-value">{recommended.get("writing_tone", "N/A")}</div>
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</div>
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<div class="recommendation-card">
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<div class="rec-icon">👥</div>
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<div class="rec-label">Target Audience</div>
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<div class="rec-value">{recommended.get("target_audience", "N/A")}</div>
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</div>
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<div class="recommendation-card">
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<div class="rec-icon">📝</div>
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<div class="rec-label">Content Type</div>
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<div class="rec-value">{recommended.get("content_type", "N/A")}</div>
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</div>
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<div class="recommendation-card">
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<div class="rec-icon">🎨</div>
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<div class="rec-label">Creativity Level</div>
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<div class="rec-value">{recommended.get("creativity_level", "N/A")}</div>
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</div>
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</div>
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""", unsafe_allow_html=True)
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except Exception as e:
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logger.error(f"Error displaying style analysis: {str(e)}")
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st.error(f"Error displaying analysis results: {str(e)}")
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def render_settings_page():
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"""Renders the settings page with premium glassmorphic design and all configuration options in tabs"""
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# Apply common dashboard styling
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apply_dashboard_style()
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# Add settings-specific CSS for tabs and form elements
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st.markdown("""
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<style>
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/* Settings-specific overrides and additions */
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.main .block-container {
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padding: 1rem 1.5rem 1.5rem 1.5rem !important;
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margin: 1rem auto !important;
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}
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.element-container {
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margin-bottom: 0.3rem !important;
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}
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.stMarkdown {
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margin: 0 !important;
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padding: 0 !important;
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margin-bottom: 0.3rem !important;
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}
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/* Enhanced tab styling for settings */
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.stTabs [data-baseweb="tab-list"] {
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gap: 0.5rem !important;
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background: rgba(255, 255, 255, 0.35) !important;
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backdrop-filter: blur(30px) !important;
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border-radius: 18px !important;
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padding: 0.8rem !important;
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border: 3px solid rgba(255, 255, 255, 0.4) !important;
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margin-bottom: 1.5rem !important;
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box-shadow:
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0 20px 40px rgba(0, 0, 0, 0.25),
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inset 0 3px 0 rgba(255, 255, 255, 0.5) !important;
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}
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.stTabs [data-baseweb="tab"] {
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background: rgba(255, 255, 255, 0.3) !important;
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backdrop-filter: blur(25px) !important;
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border-radius: 14px !important;
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color: #ffffff !important;
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border: 2px solid rgba(255, 255, 255, 0.35) !important;
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padding: 1rem 2rem !important;
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font-weight: 800 !important;
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font-size: 1.05rem !important;
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transition: all 0.3s cubic-bezier(0.25, 0.8, 0.25, 1) !important;
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margin: 0 !important;
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min-height: 50px !important;
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display: flex !important;
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align-items: center !important;
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justify-content: center !important;
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text-shadow: 0 3px 6px rgba(0, 0, 0, 0.6) !important;
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box-shadow:
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0 8px 25px rgba(0, 0, 0, 0.2),
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inset 0 2px 0 rgba(255, 255, 255, 0.4) !important;
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font-family: 'Inter', sans-serif !important;
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}
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.stTabs [data-baseweb="tab"]:hover {
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background: rgba(255, 255, 255, 0.4) !important;
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backdrop-filter: blur(30px) !important;
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color: #ffffff !important;
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border-color: rgba(255, 255, 255, 0.5) !important;
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transform: translateY(-2px) !important;
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box-shadow:
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0 15px 35px rgba(0, 0, 0, 0.3),
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inset 0 3px 0 rgba(255, 255, 255, 0.5) !important;
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}
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.stTabs [aria-selected="true"] {
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background: rgba(255, 255, 255, 0.5) !important;
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backdrop-filter: blur(35px) !important;
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color: #ffffff !important;
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border-color: rgba(255, 255, 255, 0.6) !important;
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box-shadow:
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0 15px 35px rgba(0, 0, 0, 0.3),
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inset 0 3px 0 rgba(255, 255, 255, 0.6),
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0 0 0 2px rgba(255, 255, 255, 0.3) !important;
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transform: translateY(-1px) !important;
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font-weight: 900 !important;
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text-shadow: 0 3px 8px rgba(0, 0, 0, 0.7) !important;
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}
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/* Settings sections */
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.settings-section {
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background: rgba(255, 255, 255, 0.15);
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backdrop-filter: blur(25px);
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border-radius: 16px;
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padding: 1.5rem;
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margin-bottom: 1.5rem;
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border: 2px solid rgba(255, 255, 255, 0.25);
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box-shadow: 0 15px 35px rgba(0, 0, 0, 0.15);
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position: relative;
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overflow: hidden;
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}
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.settings-section::before {
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content: '';
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position: absolute;
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top: 0;
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left: 0;
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right: 0;
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height: 2px;
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background: linear-gradient(90deg, transparent, rgba(255,255,255,0.5), transparent);
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opacity: 0.9;
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}
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.settings-section h2 {
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color: #ffffff !important;
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font-size: 1.6em !important;
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font-weight: 800 !important;
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margin-bottom: 1.2rem !important;
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margin-top: 0 !important;
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text-shadow: 0 3px 12px rgba(0, 0, 0, 0.5) !important;
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display: flex;
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align-items: center;
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gap: 0.6rem;
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letter-spacing: -0.01em;
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padding-bottom: 0.8rem;
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border-bottom: 2px solid rgba(255, 255, 255, 0.2);
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font-family: 'Inter', sans-serif !important;
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}
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/* Form elements with maximum visibility */
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.stSelectbox > div > div,
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.stSelectbox div[data-baseweb="select"] > div {
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background: rgba(255, 255, 255, 0.35) !important;
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backdrop-filter: blur(30px) !important;
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border: 3px solid rgba(255, 255, 255, 0.5) !important;
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border-radius: 12px !important;
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color: #ffffff !important;
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box-shadow:
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0 10px 30px rgba(0, 0, 0, 0.2),
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inset 0 2px 0 rgba(255, 255, 255, 0.4) !important;
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min-height: 45px !important;
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font-weight: 700 !important;
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font-size: 1rem !important;
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font-family: 'Inter', sans-serif !important;
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}
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.stTextInput > div > div > input,
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.stTextArea > div > div > textarea,
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.stNumberInput > div > div > input {
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background: rgba(255, 255, 255, 0.35) !important;
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backdrop-filter: blur(30px) !important;
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border: 3px solid rgba(255, 255, 255, 0.5) !important;
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border-radius: 12px !important;
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color: #ffffff !important;
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box-shadow:
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0 10px 30px rgba(0, 0, 0, 0.2),
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inset 0 2px 0 rgba(255, 255, 255, 0.4) !important;
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min-height: 45px !important;
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font-weight: 700 !important;
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font-size: 1rem !important;
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font-family: 'Inter', sans-serif !important;
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}
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.stTextInput > div > div > input:focus,
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.stTextArea > div > div > textarea:focus,
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.stNumberInput > div > div > input:focus {
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border-color: rgba(255, 255, 255, 0.7) !important;
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box-shadow:
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0 0 0 4px rgba(255, 255, 255, 0.4),
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0 15px 35px rgba(0, 0, 0, 0.25) !important;
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background: rgba(255, 255, 255, 0.4) !important;
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}
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.stTextInput > div > div > input::placeholder {
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color: rgba(255, 255, 255, 0.8) !important;
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font-weight: 600 !important;
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}
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/* Enhanced labels */
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.stMarkdown p, .stSelectbox label, .stTextInput label, .stTextArea label, .stSlider label, .stNumberInput label {
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color: #ffffff !important;
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font-weight: 800 !important;
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text-shadow:
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0 2px 6px rgba(0, 0, 0, 0.5),
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0 1px 3px rgba(0, 0, 0, 0.7) !important;
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font-size: 1.05rem !important;
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margin-bottom: 0.4rem !important;
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font-family: 'Inter', sans-serif !important;
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letter-spacing: -0.01em;
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}
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/* Slider styling */
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.stSlider > div > div > div {
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background: rgba(255, 255, 255, 0.5) !important;
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border-radius: 8px !important;
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height: 8px !important;
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}
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.stSlider > div > div > div > div {
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background: #ffffff !important;
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box-shadow: 0 6px 20px rgba(0, 0, 0, 0.25) !important;
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width: 20px !important;
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height: 20px !important;
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}
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/* Analysis results styling */
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.analysis-section {
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display: flex;
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align-items: center;
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gap: 1rem;
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margin: 2rem 0 1rem 0;
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padding: 1rem;
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background: rgba(255, 255, 255, 0.08);
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backdrop-filter: blur(15px);
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border-radius: 12px;
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border: 1px solid rgba(255, 255, 255, 0.15);
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}
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.section-icon {
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font-size: 1.5em;
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color: #ffffff;
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text-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
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}
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.analysis-section h3 {
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color: #ffffff;
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font-size: 1.2em;
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font-weight: 600;
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margin: 0;
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text-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
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}
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.analysis-card {
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background: rgba(255, 255, 255, 0.08);
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backdrop-filter: blur(15px);
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border-radius: 12px;
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padding: 1.5rem;
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border: 1px solid rgba(255, 255, 255, 0.15);
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margin-bottom: 1rem;
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box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1);
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}
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.metric-item {
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display: flex;
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justify-content: space-between;
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align-items: center;
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margin-bottom: 0.8rem;
|
||||
padding-bottom: 0.8rem;
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||||
border-bottom: 1px solid rgba(255, 255, 255, 0.1);
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||||
}
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||||
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.metric-item:last-child {
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||||
margin-bottom: 0;
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||||
padding-bottom: 0;
|
||||
border-bottom: none;
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||||
}
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||||
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||||
.metric-label {
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||||
color: rgba(255, 255, 255, 0.8);
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||||
font-weight: 500;
|
||||
font-size: 0.9em;
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||||
}
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||||
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||||
.metric-value {
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||||
color: #ffffff;
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||||
font-weight: 600;
|
||||
font-size: 0.9em;
|
||||
text-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
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.recommendations-grid {
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display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
|
||||
gap: 1rem;
|
||||
margin-top: 1rem;
|
||||
}
|
||||
|
||||
.recommendation-card {
|
||||
background: rgba(255, 255, 255, 0.08);
|
||||
backdrop-filter: blur(15px);
|
||||
border-radius: 12px;
|
||||
padding: 1.5rem;
|
||||
border: 1px solid rgba(255, 255, 255, 0.15);
|
||||
text-align: center;
|
||||
transition: all 0.3s ease;
|
||||
box-shadow: 0 4px 15px rgba(0, 0, 0, 0.1);
|
||||
}
|
||||
|
||||
.recommendation-card:hover {
|
||||
transform: translateY(-2px);
|
||||
background: rgba(255, 255, 255, 0.12);
|
||||
box-shadow: 0 8px 25px rgba(0, 0, 0, 0.15);
|
||||
}
|
||||
|
||||
.rec-icon {
|
||||
font-size: 2em;
|
||||
margin-bottom: 0.5rem;
|
||||
color: #ffffff;
|
||||
text-shadow: 0 2px 8px rgba(0, 0, 0, 0.3);
|
||||
}
|
||||
|
||||
.rec-label {
|
||||
color: rgba(255, 255, 255, 0.8);
|
||||
font-size: 0.9em;
|
||||
font-weight: 500;
|
||||
margin-bottom: 0.5rem;
|
||||
}
|
||||
|
||||
.rec-value {
|
||||
color: #ffffff;
|
||||
font-weight: 600;
|
||||
font-size: 1em;
|
||||
text-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
||||
/* Status messages */
|
||||
.stSuccess {
|
||||
background: rgba(46, 160, 67, 0.2) !important;
|
||||
backdrop-filter: blur(15px) !important;
|
||||
border: 1px solid rgba(46, 160, 67, 0.3) !important;
|
||||
border-radius: 12px !important;
|
||||
color: #ffffff !important;
|
||||
}
|
||||
|
||||
.stError {
|
||||
background: rgba(255, 75, 75, 0.2) !important;
|
||||
backdrop-filter: blur(15px) !important;
|
||||
border: 1px solid rgba(255, 75, 75, 0.3) !important;
|
||||
border-radius: 12px !important;
|
||||
color: #ffffff !important;
|
||||
}
|
||||
|
||||
.stWarning {
|
||||
background: rgba(255, 196, 9, 0.2) !important;
|
||||
backdrop-filter: blur(15px) !important;
|
||||
border: 1px solid rgba(255, 196, 9, 0.3) !important;
|
||||
border-radius: 12px !important;
|
||||
color: #ffffff !important;
|
||||
}
|
||||
|
||||
.stStatus {
|
||||
background: rgba(255, 255, 255, 0.08) !important;
|
||||
backdrop-filter: blur(15px) !important;
|
||||
border: 1px solid rgba(255, 255, 255, 0.15) !important;
|
||||
border-radius: 12px !important;
|
||||
}
|
||||
</style>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# Use the common dashboard header
|
||||
render_dashboard_header(
|
||||
"⚙️ Settings & Configuration",
|
||||
"Customize your AI experience with precision controls for content generation, personalization, and optimization. Fine-tune every aspect to match your unique requirements and style."
|
||||
)
|
||||
|
||||
# Create tabs for different settings categories with premium styling
|
||||
tabs = st.tabs([
|
||||
"📝 Content",
|
||||
"🖼️ Images",
|
||||
"🤖 LLM",
|
||||
"🔍 Search",
|
||||
"🎨 AI Personalization"
|
||||
])
|
||||
|
||||
# Content Settings Tab
|
||||
with tabs[0]:
|
||||
st.markdown("""
|
||||
<div class="settings-section">
|
||||
<h2>📝 Content Personalization</h2>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
col1, col2 = st.columns(2)
|
||||
|
||||
with col1:
|
||||
blog_length = st.text_input(
|
||||
"**Content Length (words)**",
|
||||
value="2000",
|
||||
key="settings_blog_length",
|
||||
help="Approximate word count for blogs. Note: Actual length may vary based on GPT provider and max token count."
|
||||
)
|
||||
|
||||
blog_tone_options = ["Casual", "Professional", "How-to", "Beginner", "Research", "Programming", "Social Media", "Customize"]
|
||||
blog_tone = st.selectbox(
|
||||
"**Content Tone**",
|
||||
options=blog_tone_options,
|
||||
key="settings_blog_tone",
|
||||
help="Select the desired tone for the blog content."
|
||||
)
|
||||
|
||||
# Initialize custom_tone variable
|
||||
custom_tone = ""
|
||||
if blog_tone == "Customize":
|
||||
custom_tone = st.text_input(
|
||||
"Enter the tone of your content",
|
||||
key="settings_custom_tone",
|
||||
help="Specify the tone of your content."
|
||||
)
|
||||
if custom_tone:
|
||||
blog_tone = custom_tone
|
||||
else:
|
||||
st.warning("Please specify the tone of your content.")
|
||||
|
||||
blog_demographic_options = ["Professional", "Gen-Z", "Tech-savvy", "Student", "Digital Marketing", "Customize"]
|
||||
blog_demographic = st.selectbox(
|
||||
"**Target Audience**",
|
||||
options=blog_demographic_options,
|
||||
key="settings_blog_demographic",
|
||||
help="Select the primary audience for the blog content."
|
||||
)
|
||||
|
||||
with col2:
|
||||
blog_type = st.selectbox(
|
||||
"**Content Type**",
|
||||
options=["Informational", "Commercial", "Company", "News", "Finance", "Competitor", "Programming", "Scholar"],
|
||||
key="settings_blog_type",
|
||||
help="Select the category that best describes the blog content."
|
||||
)
|
||||
|
||||
blog_language = st.selectbox(
|
||||
"**Content Language**",
|
||||
options=["English", "Spanish", "German", "Chinese", "Arabic", "Nepali", "Hindi", "Hindustani", "Customize"],
|
||||
key="settings_blog_language",
|
||||
help="Select the language in which the blog will be written."
|
||||
)
|
||||
|
||||
blog_output_format = st.selectbox(
|
||||
"**Content Output Format**",
|
||||
options=["markdown", "HTML", "plaintext"],
|
||||
key="settings_blog_output_format",
|
||||
help="Select the format for the blog output."
|
||||
)
|
||||
|
||||
# Images Settings Tab
|
||||
with tabs[1]:
|
||||
st.markdown("""
|
||||
<div class="settings-section">
|
||||
<h2>🖼️ Images Personalization</h2>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
col1, col2 = st.columns(2)
|
||||
|
||||
with col1:
|
||||
image_generation_model = st.selectbox(
|
||||
"**Image Generation Model**",
|
||||
options=["stable-diffusion", "dalle2", "dalle3"],
|
||||
key="settings_image_model",
|
||||
help="Select the model to generate images for the blog."
|
||||
)
|
||||
|
||||
with col2:
|
||||
number_of_blog_images = st.number_input(
|
||||
"**Number of Blog Images**",
|
||||
value=1,
|
||||
min_value=1,
|
||||
max_value=10,
|
||||
key="settings_number_of_images",
|
||||
help="Specify the number of images to include in the blog."
|
||||
)
|
||||
|
||||
# LLM Settings Tab
|
||||
with tabs[2]:
|
||||
st.markdown("""
|
||||
<div class="settings-section">
|
||||
<h2>🤖 LLM Personalization</h2>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
col1, col2 = st.columns(2)
|
||||
|
||||
with col1:
|
||||
gpt_provider = st.selectbox(
|
||||
"**GPT Provider**",
|
||||
options=["google", "openai", "minstral"],
|
||||
key="settings_gpt_provider",
|
||||
help="Select the provider for the GPT model."
|
||||
)
|
||||
|
||||
model = st.text_input(
|
||||
"**Model**",
|
||||
value="gemini-1.5-flash-latest",
|
||||
key="settings_model",
|
||||
help="Specify the model version to use from the selected provider."
|
||||
)
|
||||
|
||||
temperature = st.slider(
|
||||
"**Temperature**",
|
||||
min_value=0.1,
|
||||
max_value=1.0,
|
||||
value=0.7,
|
||||
step=0.1,
|
||||
key="settings_temperature",
|
||||
help="Controls the creativity level of the generated text."
|
||||
)
|
||||
|
||||
max_tokens = st.selectbox(
|
||||
"**Max Tokens**",
|
||||
options=[500, 1000, 2000, 4000, 16000, 32000, 64000],
|
||||
index=3,
|
||||
key="settings_max_tokens",
|
||||
help="Maximum length of the output sequence."
|
||||
)
|
||||
|
||||
with col2:
|
||||
top_p = st.slider(
|
||||
"**Top-p**",
|
||||
min_value=0.0,
|
||||
max_value=1.0,
|
||||
value=0.9,
|
||||
step=0.1,
|
||||
key="settings_top_p",
|
||||
help="Controls diversity in text generation."
|
||||
)
|
||||
|
||||
frequency_penalty = st.slider(
|
||||
"**Frequency Penalty**",
|
||||
min_value=0.0,
|
||||
max_value=2.0,
|
||||
value=1.0,
|
||||
step=0.1,
|
||||
key="settings_frequency_penalty",
|
||||
help="Reduces word repetition in output."
|
||||
)
|
||||
|
||||
# Search Settings Tab
|
||||
with tabs[3]:
|
||||
st.markdown("""
|
||||
<div class="settings-section">
|
||||
<h2>🔍 Search Engine Personalization</h2>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
col1, col2 = st.columns(2)
|
||||
|
||||
with col1:
|
||||
geographic_location = st.selectbox(
|
||||
"**Geographic Location**",
|
||||
options=["us", "in", "fr", "cn"],
|
||||
key="settings_geographic_location",
|
||||
help="Select the geographic location for tailoring search results."
|
||||
)
|
||||
|
||||
search_language = st.selectbox(
|
||||
"**Search Language**",
|
||||
options=["en", "zn-cn", "de", "hi"],
|
||||
key="settings_search_language",
|
||||
help="Select the language for the search results."
|
||||
)
|
||||
|
||||
number_of_results = st.number_input(
|
||||
"**Number of Results**",
|
||||
value=10,
|
||||
min_value=1,
|
||||
max_value=20,
|
||||
key="settings_number_of_results",
|
||||
help="Specify the number of search results to retrieve."
|
||||
)
|
||||
|
||||
with col2:
|
||||
time_range = st.selectbox(
|
||||
"**Time Range**",
|
||||
options=["anytime", "past day", "past week", "past month", "past year"],
|
||||
key="settings_time_range",
|
||||
help="Select the time range for filtering search results."
|
||||
)
|
||||
|
||||
include_domains = st.text_input(
|
||||
"**Include Domains**",
|
||||
value="",
|
||||
key="settings_include_domains",
|
||||
help="List specific domains to include in search results (comma-separated)."
|
||||
)
|
||||
|
||||
similar_url = st.text_input(
|
||||
"**Similar URL**",
|
||||
value="",
|
||||
key="settings_similar_url",
|
||||
help="Provide a URL to find similar results."
|
||||
)
|
||||
|
||||
# AI Personalization Tab
|
||||
with tabs[4]:
|
||||
st.markdown("""
|
||||
<div class="settings-section">
|
||||
<h2>🎨 AI Style Analysis</h2>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
st.markdown("""
|
||||
<div class="analysis-card" style="margin-bottom: 2rem;">
|
||||
<p style="color: rgba(255, 255, 255, 0.9); font-size: 1.1em; margin: 0; line-height: 1.6;">
|
||||
Enter a website URL or provide content samples to analyze your writing style and get personalized recommendations for optimal AI content generation.
|
||||
</p>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# Create two columns for the layout
|
||||
col1, col2 = st.columns([2, 1])
|
||||
|
||||
with col1:
|
||||
# Website URL input
|
||||
st.markdown("#### 🌐 Website URL Analysis")
|
||||
url = st.text_input(
|
||||
"Enter your website URL",
|
||||
placeholder="https://example.com",
|
||||
key="settings_website_url",
|
||||
help="Provide your website URL to analyze your content style. Leave empty if you want to provide written samples instead."
|
||||
)
|
||||
|
||||
# Alternative: Written samples
|
||||
if not url:
|
||||
st.markdown("#### 📝 Written Samples")
|
||||
st.markdown("""
|
||||
<div class="analysis-card">
|
||||
<p style="color: rgba(255, 255, 255, 0.9); margin: 0; line-height: 1.6;">
|
||||
No website URL? No problem! You can provide written samples of your content instead.
|
||||
Share your best articles, blog posts, or any content that represents your writing style.
|
||||
</p>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
samples = st.text_area(
|
||||
"Paste your content samples here",
|
||||
key="settings_content_samples",
|
||||
help="Paste 2-3 samples of your best content. This helps ALwrity understand your writing style.",
|
||||
height=200
|
||||
)
|
||||
|
||||
with col2:
|
||||
st.markdown("#### 🎯 Analysis Features")
|
||||
st.markdown("""
|
||||
<div class="analysis-card">
|
||||
<div style="color: rgba(255, 255, 255, 0.9); line-height: 1.6;">
|
||||
<p><strong>✨ Writing Style:</strong> Tone, voice, complexity analysis</p>
|
||||
<p><strong>📊 Content Analysis:</strong> Structure and vocabulary assessment</p>
|
||||
<p><strong>🎯 Audience Insights:</strong> Target demographic identification</p>
|
||||
<p><strong>⚙️ AI Recommendations:</strong> Personalized settings optimization</p>
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
# Add spacing between categories
|
||||
st.markdown("<div style='height: 20px'></div>", unsafe_allow_html=True)
|
||||
|
||||
if st.button("🎨 Analyze Writing Style", use_container_width=True, key="settings_analyze_style", type="primary"):
|
||||
if url:
|
||||
with st.status("Starting style analysis...", expanded=True) as status:
|
||||
try:
|
||||
# Step 1: Initialize crawler
|
||||
status.update(label="Step 1/4: Initializing web crawler...", state="running")
|
||||
crawler_service = AsyncWebCrawlerService()
|
||||
|
||||
# Step 2: Crawl website
|
||||
status.update(label="Step 2/4: Crawling website content...", state="running")
|
||||
loop = asyncio.new_event_loop()
|
||||
asyncio.set_event_loop(loop)
|
||||
result = loop.run_until_complete(crawler_service.crawl_website(url))
|
||||
loop.close()
|
||||
|
||||
if result.get('success', False):
|
||||
content = result.get('content', {})
|
||||
|
||||
# Step 3: Initialize style analyzer
|
||||
status.update(label="Step 3/4: Analyzing content style...", state="running")
|
||||
style_analyzer = StyleAnalyzer()
|
||||
|
||||
# Step 4: Perform style analysis
|
||||
status.update(label="Step 4/4: Generating style recommendations...", state="running")
|
||||
style_analysis = style_analyzer.analyze_content_style(content)
|
||||
|
||||
if style_analysis.get('error'):
|
||||
status.update(label="Analysis failed", state="error")
|
||||
st.error(f"Style analysis failed: {style_analysis['error']}")
|
||||
else:
|
||||
status.update(label="Analysis complete!", state="complete")
|
||||
# Display style analysis results
|
||||
display_style_analysis(style_analysis)
|
||||
|
||||
# Display original content in tabs
|
||||
tab1, tab2, tab3 = st.tabs(["📄 Content", "📋 Metadata", "🔗 Links"])
|
||||
|
||||
with tab1:
|
||||
st.markdown("#### Main Content")
|
||||
st.markdown(f"""
|
||||
<div class="analysis-card">
|
||||
<div style="color: rgba(255, 255, 255, 0.9); line-height: 1.6;">
|
||||
{content.get('main_content', 'No content found')}
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
with tab2:
|
||||
st.markdown("#### Website Metadata")
|
||||
st.markdown(f"""
|
||||
<div class="analysis-card">
|
||||
<div class="metric-item">
|
||||
<span class="metric-label">Title:</span>
|
||||
<span class="metric-value">{content.get('title', 'No title found')}</span>
|
||||
</div>
|
||||
<div class="metric-item">
|
||||
<span class="metric-label">Description:</span>
|
||||
<span class="metric-value">{content.get('description', 'No description found')}</span>
|
||||
</div>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
|
||||
with tab3:
|
||||
st.markdown("#### Extracted Links")
|
||||
links = content.get('links', [])
|
||||
if links:
|
||||
for link in links[:10]: # Show first 10 links
|
||||
st.markdown(f"""
|
||||
<div class="analysis-card" style="margin-bottom: 0.5rem;">
|
||||
<a href="{link.get('href', '')}" target="_blank" style="color: rgba(255, 255, 255, 0.9); text-decoration: none;">
|
||||
{link.get('text', 'No text')[:80]}...
|
||||
</a>
|
||||
</div>
|
||||
""", unsafe_allow_html=True)
|
||||
else:
|
||||
st.markdown("No links found in the content.")
|
||||
else:
|
||||
status.update(label="Crawling failed", state="error")
|
||||
st.error("Failed to crawl the website. Please check the URL and try again.")
|
||||
except Exception as e:
|
||||
status.update(label="Analysis failed", state="error")
|
||||
st.error(f"An error occurred during analysis: {str(e)}")
|
||||
elif samples:
|
||||
with st.status("Starting style analysis...", expanded=True) as status:
|
||||
try:
|
||||
# Initialize style analyzer
|
||||
status.update(label="Analyzing content style...", state="running")
|
||||
style_analyzer = StyleAnalyzer()
|
||||
|
||||
# Perform style analysis
|
||||
style_analysis = style_analyzer.analyze_content_style({"main_content": samples})
|
||||
|
||||
if style_analysis.get('error'):
|
||||
status.update(label="Analysis failed", state="error")
|
||||
st.error(f"Style analysis failed: {style_analysis['error']}")
|
||||
else:
|
||||
status.update(label="Analysis complete!", state="complete")
|
||||
# Display style analysis results
|
||||
display_style_analysis(style_analysis)
|
||||
except Exception as e:
|
||||
status.update(label="Analysis failed", state="error")
|
||||
st.error(f"An error occurred during analysis: {str(e)}")
|
||||
else:
|
||||
st.warning("Please provide either a website URL or content samples to analyze.")
|
||||
|
||||
# Save Settings Button with premium styling
|
||||
st.markdown("<div style='height: 2rem'></div>", unsafe_allow_html=True)
|
||||
if st.button("💾 Save All Settings", type="primary", use_container_width=True, key="settings_save_button"):
|
||||
# Save all settings to session state
|
||||
st.session_state.update({
|
||||
'blog_length': blog_length,
|
||||
'blog_tone': blog_tone,
|
||||
'blog_demographic': blog_demographic,
|
||||
'blog_type': blog_type,
|
||||
'blog_language': blog_language,
|
||||
'blog_output_format': blog_output_format,
|
||||
'image_generation_model': image_generation_model,
|
||||
'number_of_blog_images': number_of_blog_images,
|
||||
'gpt_provider': gpt_provider,
|
||||
'model': model,
|
||||
'temperature': temperature,
|
||||
'top_p': top_p,
|
||||
'max_tokens': max_tokens,
|
||||
'frequency_penalty': frequency_penalty,
|
||||
'geographic_location': geographic_location,
|
||||
'search_language': search_language,
|
||||
'number_of_results': number_of_results,
|
||||
'time_range': time_range,
|
||||
'include_domains': include_domains,
|
||||
'similar_url': similar_url
|
||||
})
|
||||
st.success("✅ Settings saved successfully! Your preferences have been applied to all AI tools.")
|
||||
|
||||
# Show a summary of saved settings
|
||||
st.markdown("""
|
||||
<div class="analysis-card" style="margin-top: 1rem;">
|
||||
<h4 style="color: #ffffff; margin-bottom: 1rem;">📋 Settings Summary</h4>
|
||||
<div style="color: rgba(255, 255, 255, 0.9); line-height: 1.6;">
|
||||
<p><strong>Content:</strong> {length} words, {tone} tone, {audience} audience</p>
|
||||
<p><strong>Images:</strong> {images} images using {model}</p>
|
||||
<p><strong>AI Model:</strong> {provider} - {ai_model}</p>
|
||||
<p><strong>Search:</strong> {location} region, {results} results</p>
|
||||
</div>
|
||||
</div>
|
||||
""".format(
|
||||
length=blog_length,
|
||||
tone=blog_tone,
|
||||
audience=blog_demographic,
|
||||
images=number_of_blog_images,
|
||||
model=image_generation_model,
|
||||
provider=gpt_provider,
|
||||
ai_model=model,
|
||||
location=geographic_location,
|
||||
results=number_of_results
|
||||
), unsafe_allow_html=True)
|
||||
Reference in New Issue
Block a user