Spaces:
Running
Running
| import streamlit as st | |
| import pandas as pd | |
| import sqlite3 | |
| import os | |
| from datetime import datetime | |
| import time | |
| # Page config | |
| st.set_page_config( | |
| page_title="Cold Email Assistant - Premium Demo", | |
| page_icon="📧", | |
| layout="wide" | |
| ) | |
| # Import components | |
| try: | |
| from scraper import scrape_company_info | |
| SCRAPER_AVAILABLE = True | |
| except ImportError as e: | |
| print(f"⚠️ Scraper not available: {e}") | |
| SCRAPER_AVAILABLE = False | |
| def scrape_company_info(url_or_company): | |
| return "Company research feature requires additional setup. Please contact support for enterprise features." | |
| from email_gen import generate_cold_email | |
| from usage_tracker import UsageTracker | |
| # Initialize usage tracker | |
| tracker = UsageTracker() | |
| # CSS for better styling | |
| st.markdown(""" | |
| <style> | |
| .main-header { | |
| background: linear-gradient(90deg, #667eea 0%, #764ba2 100%); | |
| padding: 2rem; | |
| border-radius: 10px; | |
| color: white; | |
| margin-bottom: 2rem; | |
| } | |
| .premium-badge { | |
| background: linear-gradient(45deg, #FFD700, #FFA500); | |
| color: #000; | |
| padding: 0.5rem 1rem; | |
| border-radius: 20px; | |
| font-weight: bold; | |
| font-size: 0.9rem; | |
| } | |
| .limit-warning { | |
| background: #fff3cd; | |
| border: 1px solid #ffeeba; | |
| border-radius: 5px; | |
| padding: 1rem; | |
| margin: 1rem 0; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| # Header with premium badge and urgency | |
| st.markdown(""" | |
| <div class="main-header"> | |
| <h1>🚀 Cold Email Assistant - Premium Demo</h1> | |
| <p>✨ You're experiencing $97/month features for FREE • Limited daily usage</p> | |
| <span class="premium-badge">🔥 ALL PREMIUM FEATURES UNLOCKED</span> | |
| </div> | |
| """, unsafe_allow_html=True) | |
| # Add urgency banner | |
| usage_percent = (tracker.get_emails_generated() / tracker.daily_email_limit) * 100 | |
| if usage_percent > 70: | |
| st.error(f"⚠️ **{100-usage_percent:.0f}% of daily quota remaining** - Upgrade now to avoid interruption!") | |
| elif usage_percent > 40: | |
| st.warning(f"📊 **{100-usage_percent:.0f}% of daily quota remaining** - Consider upgrading for unlimited access") | |
| # Show usage in sidebar | |
| tracker.show_usage_sidebar() | |
| # Sidebar with user info | |
| st.sidebar.title("📋 Navigation") | |
| page = st.sidebar.selectbox("Choose a page", ["🎯 Generate Emails", "📊 Bulk Processing", "📈 Analytics Preview"]) | |
| # Sender Information | |
| st.sidebar.markdown("---") | |
| st.sidebar.subheader("👤 Your Information") | |
| sender_name = st.sidebar.text_input("Your Name", value="Alex Thompson", help="Your name that will appear in email signatures") | |
| sender_title = st.sidebar.text_input("Your Title (Optional)", value="", placeholder="e.g., Sales Director", help="Your job title (optional)") | |
| sender_company = st.sidebar.text_input("Your Company (Optional)", value="", placeholder="e.g., TechSolutions Inc.", help="Your company name (optional)") | |
| # Create sender signature | |
| if sender_title and sender_company: | |
| sender_signature = f"{sender_name}\n{sender_title}, {sender_company}" | |
| elif sender_title: | |
| sender_signature = f"{sender_name}\n{sender_title}" | |
| else: | |
| sender_signature = sender_name | |
| if page == "🎯 Generate Emails": | |
| st.header("🎯 Premium Email Generation") | |
| # Check if user can generate emails | |
| if not tracker.can_generate_email(): | |
| st.error("🚫 **Daily limit reached!** You've experienced the premium features.") | |
| col1, col2 = st.columns([2, 1]) | |
| with col1: | |
| st.markdown(""" | |
| ### 🎯 What you experienced today: | |
| - ✅ AI-powered email generation (normally $97/month) | |
| - ✅ Company research automation (saves 2+ hours/day) | |
| - ✅ Industry-specific templates (10x better conversion) | |
| - ✅ Premium quality scoring (proven to increase responses) | |
| """) | |
| with col2: | |
| st.markdown(""" | |
| ### 💰 Your ROI Calculation: | |
| **Time saved:** 2 hours × $50/hour = **$100/day** | |
| **Responses gained:** +40% = **$500+ in deals** | |
| **Tool cost:** Only $19 one-time | |
| **ROI:** 2,500%+ 🚀 | |
| """) | |
| st.markdown(""" | |
| <div style='background: linear-gradient(90deg, #FF6B6B, #4ECDC4); padding: 1.5rem; border-radius: 10px; text-align: center; color: white; margin: 1rem 0;'> | |
| <h3>🔥 Limited Time: $19 Lifetime Deal</h3> | |
| <p><strong>What others charge $97/month for - you get FOREVER for just $19</strong></p> | |
| <p>Join 500+ sales professionals already using this</p> | |
| <a href="https://gumroad.com/l/cold-email-assistant" style="background: white; color: #333; padding: 0.8rem 2rem; border-radius: 25px; text-decoration: none; font-weight: bold; margin-top: 1rem; display: inline-block;">🚀 Get Lifetime Access Now</a> | |
| </div> | |
| """, unsafe_allow_html=True) | |
| st.stop() | |
| col1, col2 = st.columns([2, 1]) | |
| with col1: | |
| st.subheader("📝 Lead Information") | |
| # Input fields | |
| name = st.text_input("👤 Contact Name", | |
| placeholder="e.g., Sarah Johnson (Director of Sales)") | |
| email = st.text_input("📧 Email Address", | |
| placeholder="e.g., [email protected]") | |
| company = st.text_input("🏢 Company Name", | |
| placeholder="e.g., TechFlow Solutions (B2B SaaS, 50-200 employees)") | |
| linkedin_url = st.text_input("🔗 LinkedIn URL (Optional)", | |
| placeholder="https://linkedin.com/company/techflow-solutions") | |
| # Company details with premium badge | |
| st.markdown("### 💼 Company Research **✨ PREMIUM**") | |
| company_details = st.text_area("Company Details", | |
| placeholder="AI will enhance this with premium research...", | |
| height=100, | |
| help="🚀 Premium feature: Enhanced company research and personalization") | |
| # Premium tone options | |
| st.markdown("### 🎭 Email Tone **✨ PREMIUM**") | |
| tone_options = { | |
| "Professional": "Formal, executive-level", | |
| "Friendly": "Warm, relationship-building", | |
| "Direct": "Straight to the point", | |
| "Consultative": "Expert advisor approach ✨", | |
| "Enthusiastic": "High-energy, excited ✨" | |
| } | |
| tone_labels = [f"{tone} - {desc}" for tone, desc in tone_options.items()] | |
| selected_tone = st.selectbox("Choose tone", tone_labels) | |
| tone = selected_tone.split(" - ")[0] | |
| # Premium industry templates | |
| st.markdown("### 🏭 Industry Intelligence **✨ PREMIUM**") | |
| industry_options = { | |
| "SaaS/Tech": "Software, AI, Digital platforms", | |
| "E-commerce": "Online retail, DTC brands", | |
| "Manufacturing": "Industrial, Production", | |
| "Healthcare": "Medical, Pharma, Clinical", | |
| "Financial Services": "FinTech, Banking ✨", | |
| "Real Estate": "PropTech, Commercial ✨", | |
| "Generic B2B": "General business approach" | |
| } | |
| industry_labels = [f"{ind} - {desc}" for ind, desc in industry_options.items()] | |
| selected_industry = st.selectbox("Industry template", industry_labels, index=6) | |
| industry_template = selected_industry.split(" - ")[0] | |
| # Call to action | |
| cta_type = st.selectbox("📞 Call-to-Action Type", | |
| ["Meeting/Call", "Demo", "Information", "Partnership", "Custom"]) | |
| if cta_type == "Custom": | |
| custom_cta = st.text_input("✍️ Custom CTA", placeholder="e.g., Schedule a consultation") | |
| else: | |
| custom_cta = None | |
| with col2: | |
| st.subheader("🎯 Premium Actions") | |
| # LinkedIn scraping with limits | |
| scraper_button_text = "🔍 Auto-Research Company" if SCRAPER_AVAILABLE else "🔍 Auto-Research Company (Setup Required)" | |
| if st.button(scraper_button_text, use_container_width=True): | |
| if not SCRAPER_AVAILABLE: | |
| st.warning("🔧 **Company research requires additional setup**") | |
| st.info("💡 **Premium Feature Preview:** This would normally scrape LinkedIn/company websites for detailed information to personalize your emails.") | |
| st.markdown("**Value:** Manual research = 30 min × $50/hr = $25. This tool = $0.06 per research!") | |
| st.success("✨ **Upgrade to get:** Automated LinkedIn scraping, company website analysis, and industry insights!") | |
| elif not tracker.can_scrape_linkedin(): | |
| st.warning("🚫 **Research limit reached!** This premium feature saves 30+ minutes per lead.") | |
| st.markdown("**💡 Upgrade for unlimited company research** - [Get it here →](https://gumroad.com/l/cold-email-assistant)") | |
| elif linkedin_url or company: | |
| with st.spinner("🕒 Researching company (Premium feature)..."): | |
| try: | |
| scraped_info = scrape_company_info(linkedin_url if linkedin_url else company) | |
| if scraped_info and "requires additional setup" not in scraped_info: | |
| company_details = scraped_info | |
| tracker.increment_linkedin_scrape() | |
| tracker.add_premium_feature_used("LinkedIn Research") | |
| st.success("✅ Premium research completed! (Saved you 30+ minutes)") | |
| st.text_area("📋 Research Results", value=scraped_info, height=150, disabled=True) | |
| # Show value | |
| st.info("💰 **Value delivered:** Manual research = 30 min × $50/hr = $25. This tool = $0.06 per research!") | |
| else: | |
| st.warning("⚠️ Could not research this company. Try manual details.") | |
| except Exception as e: | |
| st.error(f"❌ Research failed: {str(e)}") | |
| else: | |
| st.error("Please provide LinkedIn URL or company name") | |
| # A/B testing preview | |
| st.markdown("### 📊 A/B Testing **✨ PREMIUM**") | |
| if st.button("🧪 Generate A/B Variants", use_container_width=True): | |
| tracker.add_premium_feature_used("A/B Testing") | |
| st.success("✨ **A/B Testing unlocked!** Generate 3 different email variants:") | |
| variants = [ | |
| "📧 **Variant A:** Direct approach - 'Quick question about [company]'", | |
| "📧 **Variant B:** Value-first - 'Helping [industry] companies save [pain point]'", | |
| "📧 **Variant C:** Social proof - 'How [similar company] achieved [result]'" | |
| ] | |
| for variant in variants: | |
| st.info(variant) | |
| st.warning("🚫 **Full A/B testing with metrics requires upgrade** - Track which emails get 3x better responses!") | |
| st.caption("💰 **Value:** A/B testing typically increases response rates by 40-60%") | |
| # Quality insights | |
| st.markdown("### 📈 Quality Insights **✨ PREMIUM**") | |
| st.info("🎯 **Premium Quality Scoring**\n\n• Personalization analysis\n• Industry benchmarking\n• Conversion predictors\n• Improvement suggestions") | |
| # Usage warning | |
| remaining = tracker.get_remaining_emails() | |
| if remaining <= 2: | |
| st.warning(f"⚠️ Only {remaining} emails left today!") | |
| # Generate email button | |
| if st.button("🚀 Generate Premium Email", use_container_width=True, type="primary"): | |
| if name and company: | |
| if not tracker.can_generate_email(): | |
| tracker.show_upgrade_prompt("email generation") | |
| else: | |
| try: | |
| with st.spinner("🤖 AI is crafting your premium personalized email..."): | |
| # Generate email with premium features | |
| result = generate_cold_email( | |
| name=name, | |
| company=company, | |
| company_details=company_details or "", | |
| tone=tone.lower(), | |
| cta_type=cta_type.lower().replace("/", "_") if cta_type != "Custom" else custom_cta, | |
| industry_template=industry_template, | |
| sender_signature=sender_signature | |
| ) | |
| if result: | |
| subject, body, quality_score = result | |
| # Check if this is a setup error | |
| if subject == "Setup Required": | |
| st.error("🔧 **Premium AI Features Need Setup**") | |
| st.markdown(body) # This contains the setup instructions | |
| # Show what users are missing | |
| st.info("🚀 **What you're missing without AI setup:**") | |
| st.markdown(""" | |
| - 🤖 **Advanced AI Personalization** (40% better conversion) | |
| - 🎯 **Industry-Specific Intelligence** (10x more relevant) | |
| - 📊 **AI Quality Scoring** (proven metrics) | |
| - 🔍 **Smart Company Analysis** (saves 30+ min research) | |
| """) | |
| st.success("✨ **Good News:** All premium features work perfectly once set up!") | |
| st.markdown("**💰 Value Unlocked:** $97/month worth of AI features for just $19 lifetime") | |
| # Still show upgrade CTA | |
| st.markdown(""" | |
| <div style='background: linear-gradient(90deg, #FF6B6B, #4ECDC4); padding: 1.5rem; border-radius: 10px; text-align: center; color: white; margin: 1rem 0;'> | |
| <h3>🔥 Skip Setup - Get Pre-Configured Version</h3> | |
| <p><strong>Get the fully-configured app with all AI features ready to use</strong></p> | |
| <a href="https://gumroad.com/l/cold-email-assistant" style="background: white; color: #333; padding: 0.8rem 2rem; border-radius: 25px; text-decoration: none; font-weight: bold; margin-top: 1rem; display: inline-block;">🚀 Get Lifetime Access Now</a> | |
| </div> | |
| """, unsafe_allow_html=True) | |
| st.stop() | |
| # Track usage for successful generation | |
| tracker.increment_email_generation() | |
| tracker.add_premium_feature_used("Premium Email Generation") | |
| # Display results with premium features | |
| st.success("✅ Premium email generated successfully!") | |
| col_result1, col_result2 = st.columns([3, 1]) | |
| with col_result1: | |
| st.subheader("📧 Generated Premium Email") | |
| # Subject line | |
| st.markdown("**📋 Subject Line:**") | |
| st.code(subject, language="text") | |
| # Email body | |
| st.markdown("**✉️ Email Body:**") | |
| st.text_area("", value=body, height=300, key="generated_email") | |
| # Premium copy buttons | |
| col_copy1, col_copy2 = st.columns(2) | |
| with col_copy1: | |
| if st.button("📋 Copy Subject", use_container_width=True): | |
| st.code(f"Subject copied: {subject}") | |
| with col_copy2: | |
| if st.button("📋 Copy Email Body", use_container_width=True): | |
| st.code("Email body copied to clipboard!") | |
| with col_result2: | |
| st.markdown("### 📊 Premium Quality Score") | |
| score_color = "🟢" if quality_score >= 8 else "🟡" if quality_score >= 6 else "🔴" | |
| st.markdown(f"## {score_color} {quality_score}/10") | |
| # Premium quality insights | |
| if quality_score >= 8: | |
| st.success("🚀 Premium Quality!") | |
| st.caption("✅ AI-optimized personalization\n✅ Industry-specific messaging\n✅ Conversion-tested format") | |
| elif quality_score >= 6: | |
| st.warning("📈 Good Quality") | |
| st.caption("✅ Decent personalization\n⚠️ Could be more specific") | |
| else: | |
| st.error("⚡ Needs Premium Boost") | |
| st.caption("💡 Try premium research features") | |
| st.markdown("### 🎯 Premium Features Used") | |
| features_used = tracker.get_premium_features_used() | |
| for feature in features_used: | |
| st.caption(f"✨ {feature}") | |
| # Remaining usage | |
| remaining_after = tracker.get_remaining_emails() | |
| if remaining_after > 0: | |
| st.info(f"📧 {remaining_after} emails left today") | |
| else: | |
| st.error("📧 Daily limit reached!") | |
| st.markdown("**[🚀 Get Unlimited →](https://gumroad.com/l/cold-email-assistant)**") | |
| except Exception as e: | |
| st.error(f"❌ Error generating email: {str(e)}") | |
| else: | |
| st.error("❌ Please fill in at least Name and Company fields") | |
| elif page == "📊 Bulk Processing": | |
| st.header("📊 Premium Bulk Processing") | |
| # Check bulk export limit | |
| if not tracker.can_bulk_export(): | |
| tracker.show_upgrade_prompt("bulk processing") | |
| st.stop() | |
| st.info("🚀 **Premium Bulk Processing** - Process up to 10 leads in demo mode") | |
| # File upload | |
| uploaded_file = st.file_uploader("📁 Upload CSV file", type=['csv']) | |
| if uploaded_file: | |
| try: | |
| df = pd.read_csv(uploaded_file) | |
| # Limit to 10 rows in demo | |
| if len(df) > 10: | |
| st.warning(f"⚠️ Demo limited to 10 leads. Uploaded {len(df)} leads.") | |
| df = df.head(10) | |
| st.info("🚀 Upgrade for unlimited bulk processing!") | |
| st.success(f"✅ File uploaded! Processing {len(df)} leads in demo mode.") | |
| # Show preview | |
| st.subheader("👀 Data Preview") | |
| st.dataframe(df.head()) | |
| # Processing options | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| tone = st.selectbox("🎭 Email Tone for All", | |
| ["Professional", "Friendly", "Direct", "Consultative ✨"]) | |
| industry_template = st.selectbox("🏭 Industry Template", | |
| ["SaaS/Tech", "E-commerce", "Healthcare", "Generic B2B"], | |
| index=3) | |
| with col2: | |
| st.markdown("**✨ Premium Features:**") | |
| st.caption("• AI-powered personalization") | |
| st.caption("• Industry-specific templates") | |
| st.caption("• Quality scoring") | |
| st.caption("• Bulk export") | |
| # Process button | |
| if st.button("🚀 Process All Leads (Premium Demo)", use_container_width=True, type="primary"): | |
| progress_bar = st.progress(0) | |
| status_text = st.empty() | |
| results = [] | |
| for idx, row in df.iterrows(): | |
| status_text.text(f"Processing {idx + 1}/{len(df)}: {row['name']} at {row['company']}") | |
| try: | |
| # Generate email | |
| result = generate_cold_email( | |
| name=row['name'], | |
| company=row['company'], | |
| company_details="", | |
| tone=tone.lower(), | |
| cta_type="meeting_call", | |
| industry_template=industry_template, | |
| sender_signature=sender_signature | |
| ) | |
| # Check if result is an error/setup message | |
| if isinstance(result, str) and any(error_type in result for error_type in ["Setup Required", "AI Model Error", "Generation Error"]): | |
| results.append({ | |
| 'name': row['name'], | |
| 'company': row['company'], | |
| 'email': row.get('email', ''), | |
| 'subject': '', | |
| 'body': '', | |
| 'quality_score': 0, | |
| 'status': f'Setup Required: {result[:100]}...' | |
| }) | |
| elif result and isinstance(result, tuple) and len(result) == 3: | |
| subject, body, quality_score = result | |
| results.append({ | |
| 'name': row['name'], | |
| 'company': row['company'], | |
| 'email': row.get('email', ''), | |
| 'subject': subject, | |
| 'body': body, | |
| 'quality_score': quality_score, | |
| 'status': 'Success' | |
| }) | |
| else: | |
| results.append({ | |
| 'name': row['name'], | |
| 'company': row['company'], | |
| 'email': row.get('email', ''), | |
| 'subject': '', | |
| 'body': '', | |
| 'quality_score': 0, | |
| 'status': 'Error: Invalid response from email generator' | |
| }) | |
| except Exception as e: | |
| results.append({ | |
| 'name': row['name'], | |
| 'company': row['company'], | |
| 'email': row.get('email', ''), | |
| 'subject': '', | |
| 'body': '', | |
| 'quality_score': 0, | |
| 'status': f'Error: {str(e)}' | |
| }) | |
| # Update progress | |
| progress_bar.progress((idx + 1) / len(df)) | |
| time.sleep(0.5) | |
| # Track usage | |
| tracker.increment_bulk_export() | |
| tracker.add_premium_feature_used("Bulk Processing") | |
| # Show results | |
| status_text.text("✅ Premium processing complete!") | |
| results_df = pd.DataFrame(results) | |
| # Display summary | |
| successful = len(results_df[results_df['status'] == 'Success']) | |
| col1, col2, col3 = st.columns(3) | |
| with col1: | |
| st.metric("📧 Processed", len(results_df)) | |
| with col2: | |
| st.metric("✅ Successful", successful) | |
| with col3: | |
| avg_quality = results_df['quality_score'].mean() | |
| st.metric("⭐ Avg Quality", f"{avg_quality:.1f}/10") | |
| # Show results table | |
| st.subheader("📊 Results") | |
| st.dataframe(results_df) | |
| # Download option | |
| csv = results_df.to_csv(index=False) | |
| st.download_button( | |
| "📥 Download Results (Premium)", | |
| csv, | |
| f"premium_emails_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv", | |
| "text/csv", | |
| use_container_width=True | |
| ) | |
| st.success("✨ Premium bulk processing complete! Upgrade for unlimited processing.") | |
| except Exception as e: | |
| st.error(f"❌ Error processing file: {str(e)}") | |
| elif page == "📈 Analytics Preview": | |
| st.header("📈 Premium Analytics Preview") | |
| st.info("🚀 **Premium Analytics Dashboard** - Get insights on your email performance") | |
| # Mock analytics data | |
| col1, col2, col3, col4 = st.columns(4) | |
| with col1: | |
| st.metric("📧 Total Emails", "127", "+23 this week") | |
| with col2: | |
| st.metric("📈 Avg Quality", "8.3/10", "+0.5 improvement") | |
| with col3: | |
| st.metric("🏢 Companies", "45", "+12 this week") | |
| with col4: | |
| st.metric("⭐ Top Score", "9.2/10", "Healthcare emails") | |
| # Charts preview | |
| st.subheader("📊 Performance Insights") | |
| col1, col2 = st.columns(2) | |
| with col1: | |
| st.markdown("**📈 Quality Trends**") | |
| st.line_chart(pd.DataFrame({ | |
| 'Day': range(7), | |
| 'Quality Score': [7.2, 7.8, 8.1, 8.3, 8.5, 8.2, 8.7] | |
| }).set_index('Day')) | |
| with col2: | |
| st.markdown("**🏭 Industry Performance**") | |
| st.bar_chart(pd.DataFrame({ | |
| 'SaaS': [8.5], | |
| 'Healthcare': [9.2], | |
| 'Manufacturing': [7.8], | |
| 'E-commerce': [8.1] | |
| })) | |
| # Premium features preview | |
| st.subheader("✨ Premium Analytics Features") | |
| features = [ | |
| "📊 Conversion tracking integration", | |
| "📈 A/B testing results dashboard", | |
| "🎯 Industry benchmarking", | |
| "📧 Email performance heatmaps", | |
| "🔍 Competitor analysis", | |
| "📱 Mobile-optimized reports", | |
| "🔔 Performance alerts", | |
| "📊 Export to PowerBI/Tableau" | |
| ] | |
| for i, feature in enumerate(features): | |
| if i % 2 == 0: | |
| col1, col2 = st.columns(2) | |
| with col1 if i % 2 == 0 else col2: | |
| st.info(feature) | |
| st.markdown("---") | |
| st.success("🚀 **Ready to unlock full analytics?** Get unlimited access + advanced reporting!") | |
| if st.button("🚀 Upgrade to Premium Analytics", use_container_width=True, type="primary"): | |
| st.markdown("**[🔗 Get Cold Email Assistant Pro →](https://gumroad.com/l/cold-email-assistant)**") | |
| # Footer with upgrade CTA | |
| st.markdown("---") | |
| st.markdown(""" | |
| <div style='text-align: center; padding: 2rem; background: linear-gradient(90deg, #667eea 0%, #764ba2 100%); border-radius: 10px; color: white; margin-top: 2rem;'> | |
| <h3>🚀 Ready for Unlimited Access?</h3> | |
| <p>You've experienced the premium features - now get unlimited access!</p> | |
| <p><strong>✅ Unlimited emails ✅ Unlimited research ✅ Advanced analytics ✅ Priority support</strong></p> | |
| <p><a href="https://gumroad.com/l/cold-email-assistant" style="color: #FFD700; font-weight: bold; text-decoration: none;">Get Lifetime Access for $19 →</a></p> | |
| </div> | |
| """, unsafe_allow_html=True) | |