Google Search Grounded results, Content Calendar Ideator, Competitor Analysis, and Keyword Researcher
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ajaysi
310
lib/utils/test_config_settings.py
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310
lib/utils/test_config_settings.py
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"""Test configuration settings page for ALwrity."""
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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 pages.style_utils import (
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get_test_config_styles,
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get_glass_container,
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get_info_section,
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get_example_box,
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get_analysis_section,
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get_style_guide_html
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)
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import sys
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from lib.personalization.style_analyzer import StyleAnalyzer
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# Set page config - must be the first Streamlit command
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st.set_page_config(
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layout="wide",
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initial_sidebar_state="collapsed",
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menu_items={
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'Get Help': None,
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'Report a bug': None,
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'About': None
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}
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)
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import yaml
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from pathlib import Path
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import os
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from loguru import logger
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from lib.utils.read_main_config_params import get_personalization_settings
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from lib.web_crawlers.crawl4ai_web_crawler import analyze_style
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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/test_config_settings.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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# Apply CSS styles
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st.markdown(get_test_config_styles(), unsafe_allow_html=True)
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def load_website_url():
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"""Load website URL from config file."""
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try:
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logger.debug("Loading website URL from config file")
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config_path = Path(os.environ["ALWRITY_CONFIG"])
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config = yaml.safe_load(config_path.read_text())
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url = config.get('website', {}).get('url', '')
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logger.info(f"Loaded website URL: {url}")
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return url
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except Exception as e:
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logger.error(f"Error loading website URL: {str(e)}", exc_info=True)
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return ''
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def display_style_analysis(analysis_results: dict):
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"""Display the style analysis results in a structured format."""
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try:
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# Writing Style Section
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st.markdown("### 🎨 Writing Style Analysis")
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writing_style = analysis_results.get("writing_style", {})
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writing_style_content = f"""
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<ul>
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<li><strong>Tone:</strong> {writing_style.get("tone", "N/A")}</li>
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<li><strong>Voice:</strong> {writing_style.get("voice", "N/A")}</li>
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<li><strong>Complexity:</strong> {writing_style.get("complexity", "N/A")}</li>
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<li><strong>Engagement Level:</strong> {writing_style.get("engagement_level", "N/A")}</li>
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</ul>
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"""
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st.markdown(get_analysis_section("Writing Style", writing_style_content), unsafe_allow_html=True)
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# Content Characteristics Section
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content_chars = analysis_results.get("content_characteristics", {})
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content_chars_content = f"""
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<ul>
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<li><strong>Sentence Structure:</strong> {content_chars.get("sentence_structure", "N/A")}</li>
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<li><strong>Vocabulary Level:</strong> {content_chars.get("vocabulary_level", "N/A")}</li>
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<li><strong>Paragraph Organization:</strong> {content_chars.get("paragraph_organization", "N/A")}</li>
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<li><strong>Content Flow:</strong> {content_chars.get("content_flow", "N/A")}</li>
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</ul>
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"""
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st.markdown(get_analysis_section("Content Characteristics", content_chars_content), unsafe_allow_html=True)
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# Target Audience Section
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target_audience = analysis_results.get("target_audience", {})
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target_audience_content = f"""
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<ul>
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<li><strong>Demographics:</strong> {', '.join(target_audience.get("demographics", ["N/A"]))}</li>
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<li><strong>Expertise Level:</strong> {target_audience.get("expertise_level", "N/A")}</li>
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<li><strong>Industry Focus:</strong> {target_audience.get("industry_focus", "N/A")}</li>
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<li><strong>Geographic Focus:</strong> {target_audience.get("geographic_focus", "N/A")}</li>
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</ul>
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"""
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st.markdown(get_analysis_section("Target Audience", target_audience_content), unsafe_allow_html=True)
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# Content Type Section
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content_type = analysis_results.get("content_type", {})
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content_type_content = f"""
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<ul>
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<li><strong>Primary Type:</strong> {content_type.get("primary_type", "N/A")}</li>
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<li><strong>Secondary Types:</strong> {', '.join(content_type.get("secondary_types", ["N/A"]))}</li>
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<li><strong>Purpose:</strong> {content_type.get("purpose", "N/A")}</li>
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<li><strong>Call to Action:</strong> {content_type.get("call_to_action", "N/A")}</li>
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</ul>
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"""
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st.markdown(get_analysis_section("Content Type", content_type_content), unsafe_allow_html=True)
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# Recommended Settings Section
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recommended = analysis_results.get("recommended_settings", {})
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recommended_content = f"""
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<ul>
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<li><strong>Writing Tone:</strong> {recommended.get("writing_tone", "N/A")}</li>
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<li><strong>Target Audience:</strong> {recommended.get("target_audience", "N/A")}</li>
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<li><strong>Content Type:</strong> {recommended.get("content_type", "N/A")}</li>
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<li><strong>Creativity Level:</strong> {recommended.get("creativity_level", "N/A")}</li>
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<li><strong>Geographic Location:</strong> {recommended.get("geographic_location", "N/A")}</li>
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</ul>
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"""
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st.markdown(get_analysis_section("Recommended Settings", recommended_content), 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_test_config_settings():
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"""Render the test configuration settings page."""
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try:
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logger.info("Starting to render test configuration settings")
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# Add back button at the top
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col1, col2 = st.columns([1, 3])
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with col1:
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if st.button("← Back to Personalization Setup"):
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logger.info("User clicked back to personalization setup")
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# Set session state for navigation
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st.session_state.current_step = 4
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st.session_state.next_step = "personalization_setup"
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# Navigate back to the main page where personalization setup is rendered
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st.switch_page("alwrity.py")
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# Title and description
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st.title("🎨 Find Your Style with ALwrity")
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st.markdown(get_glass_container(
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"<p>Enter a website URL or provide content samples to analyze your writing style and get personalized recommendations.</p>"
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), unsafe_allow_html=True)
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# Create two columns for the layout
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col1, col2 = st.columns([2, 1])
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with col1:
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# Website URL input
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st.markdown("### Website URL")
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url = st.text_input(
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"Enter your website URL",
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placeholder="https://example.com",
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help="Provide your website URL to analyze your content style. Leave empty if you want to provide written samples instead."
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)
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logger.debug(f"Website URL input value: {url}")
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# Alternative: Written samples
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if not url:
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st.markdown("### Written Samples")
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st.markdown(get_info_section("""
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<p>No website URL? No problem! You can provide written samples of your content instead.</p>
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<p>Share your best articles, blog posts, or any content that represents your writing style.</p>
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"""), unsafe_allow_html=True)
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samples = st.text_area(
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"Paste your content samples here",
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help="Paste 2-3 samples of your best content. This helps ALwrity understand your writing style."
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)
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logger.debug(f"Sample text length: {len(samples) if samples else 0}")
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st.markdown('</div>', unsafe_allow_html=True)
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# ALwrity Style button
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st.markdown("<div style='height: 20px'></div>", unsafe_allow_html=True)
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if st.button("🎨 ALwrity Style", use_container_width=True):
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if url:
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with st.status("Starting style analysis...", expanded=True) as status:
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try:
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logger.info(f"Starting style analysis for URL: {url}")
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# Step 1: Initialize crawler
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status.update(label="Step 1/4: Initializing web crawler...", state="running")
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crawler_service = AsyncWebCrawlerService()
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# Step 2: Crawl website
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status.update(label="Step 2/4: Crawling website content...", state="running")
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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result = loop.run_until_complete(crawler_service.crawl_website(url))
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loop.close()
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if result.get('success', False):
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content = result.get('content', {})
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# Step 3: Initialize style analyzer
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status.update(label="Step 3/4: Analyzing content style...", state="running")
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style_analyzer = StyleAnalyzer()
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# Step 4: Perform style analysis
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status.update(label="Step 4/4: Generating style recommendations...", state="running")
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style_analysis = style_analyzer.analyze_content_style(content)
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if style_analysis.get('error'):
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status.update(label="Analysis failed", state="error")
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st.error(f"Style analysis failed: {style_analysis['error']}")
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else:
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status.update(label="Analysis complete!", state="complete")
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# Display style analysis results
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display_style_analysis(style_analysis)
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# Display original content in tabs
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tab1, tab2, tab3 = st.tabs(["Content", "Metadata", "Links"])
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with tab1:
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st.markdown("### Main Content")
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st.markdown(content.get('main_content', 'No content found'))
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with tab2:
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st.markdown("### Metadata")
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st.markdown(f"""
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**Title:** {content.get('title', 'No title found')}
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**Description:** {content.get('description', 'No description found')}
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**Meta Tags:**
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{content.get('meta_tags', {})}
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""")
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with tab3:
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st.markdown("### Links")
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for link in content.get('links', []):
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st.markdown(f"- [{link.get('text', '')}]({link.get('href', '')})")
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else:
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status.update(label="Crawling failed", state="error")
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st.error(f"Failed to analyze website: {result.get('error', 'Unknown error')}")
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except Exception as e:
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logger.error(f"Error during style analysis: {str(e)}")
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st.error(f"Analysis failed: {str(e)}")
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elif samples:
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with st.spinner("Analyzing content samples..."):
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try:
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# TODO: Implement sample text analysis
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st.info("Sample text analysis coming soon!")
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except Exception as e:
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logger.error(f"Error analyzing samples: {str(e)}")
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st.error(f"Analysis failed: {str(e)}")
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else:
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st.warning("Please provide either a website URL or content samples")
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with col2:
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st.markdown("""
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### How ALwrity Discovers Your Style
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**AI-Powered Style Analysis**
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ALwrity AI analyzes your existing content to understand your unique writing style and preferences. This helps us generate content that matches your voice perfectly.
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**Step 1: Content Analysis**
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We'll analyze your website content or written samples to understand:
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- Writing tone and voice
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- Vocabulary and language style
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- Content structure and formatting
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- Target audience and engagement style
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**Step 2: Style Recommendations**
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Based on the analysis, we'll provide:
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- Personalized writing guidelines
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- Content structure templates
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- Tone and voice recommendations
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- Audience engagement strategies
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**Step 3: Content Generation**
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Finally, we'll use these insights to:
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- Generate content that matches your style
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- Maintain consistency across all content
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- Optimize for your target audience
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- Ensure brand voice alignment
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""")
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except Exception as e:
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logger.error(f"Error in render_test_config_settings: {str(e)}")
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st.error(f"An error occurred: {str(e)}")
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if __name__ == "__main__":
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logger.info("Starting test config settings page")
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render_test_config_settings()
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logger.info("Test config settings page rendered successfully")
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