import streamlit as st
st.markdown(
"""
""",
unsafe_allow_html=True,
)
st.markdown('SalesIntel AI
', unsafe_allow_html=True)
st.markdown("""
Business Hubs
Generate Emails - NGO Oriented Function 🌍
Generates personalized Emails for NGO campaigns, you have two options to use it
With Scraping:
Best for Mass Emails with minimal initial data.
Required Columns:
- 👤 First Name
- 🏢 Company Name
- 🌐 Domain
- 📌 Title
- 🔗 Person LinkedIn URL
- 🔗 Company website
- 👤 Email
Opt-Out of Scraping:
Best for Low Volume Emails, Perfect for detailed information and targeted approach.
Required Columns:
- 👤 First Name
- 🏢 Company Name
- 🌐 Domain
- 📝 User Description
- 👤 Email
🏢 Generate Emails for Industries/Startups
Supports personalized email generation for specific industries or startups, you have two options to use it
With Scraping:
For comprehensive company info with limited initial data.
Required Columns:
- 🔗 Website
- 🏢 Company Name
- 👤 First Name
- 👤 Email
Opt-Out of Scraping:
For complete company descriptions at hand.
Required Columns:
- 🔗 Website
- 🏢 Company Name
- 👤 First Name
- 📝 Company Description
- 👤 Email
""",unsafe_allow_html=True)
st.markdown("-----------------------------------------------------")
st.markdown("""
Sales Core team - Apollo -
Data Processing Functions
Company-Specific Client Function
Upload a CSV with company names and websites.
- With Scraping:
- Required:
Website, Company Name for Emails
- The tool scrapes for extra company information.
- Opt Out:
- Required:
Website, Company Name for Emails, Company Description (used as scraped_content)
- Provide your own company descriptions; no scraping.
User-Specific Client Function
Upload a CSV with personal and company information.
- With Scraping:
- Required:
First Name, Company Name for Emails, Title, Website, Last Name, Person Linkedin Url,Email
- The tool scrapes LinkedIn and other sources for additional information.
- Opt Out:
- Required:
First Name, Company Name for Emails, Person Linkedin Url, User Description (used as Scrapped Profile),Email
- Use your data without scraping additional information.
Both Features Function
Combine user and company-specific data processing.
- With Scraping:
- Required:
First Name, Company Name for Emails, Title, Last Name, Person Linkedin Url, Website,Email
- Scrapes for comprehensive data on both individuals and companies.
- Opt Out:
- Required:
First Name, Company Name for Emails, Person Linkedin Url, Company Description (used as scraped_content), User Description (used as Scrapped Profile),Email
- Rely on user-provided descriptions for both individuals and companies.
""", unsafe_allow_html=True)
logo_url = "https://i.imgur.com/WYnv26e.jpeg" # Replace this with your image's direct URL
st.markdown(
f"""
""",
unsafe_allow_html=True,
)