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import streamlit as st
from streamlit_extras.switch_page_button import switch_page
def apollo_page_switch():
switch_to_apollo = st.button("Visit the page for Apollo extract input")
if switch_to_apollo:
switch_page("Apollo_Extract")
def BH_page_switch():
switch_to_BH = st.button("Visit the page dedicated for Business hubs use case")
if switch_to_rabigh:
switch_page("Business_Hubs")
st.markdown(
"""
<style>
.higher-title {
font-size:35px !important;
color: #4A90E2; /* Shade of blue */
text-align: center;
font-weight: bold;
margin-top: -20px; /* Adjust this value to control the height */
}
</style>
""",
unsafe_allow_html=True,
)
st.markdown('<p class="higher-title">SalesIntel AI</p>', unsafe_allow_html=True)
st.markdown("""
<h2 style="color:blue;">Business Hubs</h2>
<h3 style="color:green;">Generate Emails - NGO Oriented Function π</h3>
<h4>Generates personalized Emails for NGO campaigns, you have two options to use it</h4>
<h4 style="color:orange;">With Scraping:</h4>
<h6>Best for Mass Emails with minimal initial data.</h6>
<h3 style="color:purple;">Required Columns:</h3>
<ul>
<li><strong>π€ First Name</strong></li>
<li><strong>π’ Company Name</strong></li>
<li><strong>π Domain</strong></li>
<li><strong>π Title</strong></li>
<li><strong>π Person LinkedIn URL</strong></li>
<li><strong>π Company website</strong></li>
<li><strong>π€ Email</strong></li>
</ul>
<h4 style="color:orange;">Opt-Out of Scraping:</h4>
<h6>Best for Low Volume Emails, Perfect for detailed information and targeted approach.</h6>
<h4 style="color:purple;">Required Columns:</h4>
<ul>
<li><strong>π€ First Name</strong></li>
<li><strong>π’ Company Name</strong></li>
<li><strong>π Domain</strong></li>
<li><strong>π User Description</strong></li>
<li><strong>π€ Email</strong></li>
</ul>
<h3 style="color:green;">π’ Generate Emails for Industries/Startups</h3>
<h4>Supports personalized email generation for specific industries or startups, you have two options to use it</h4>
<h4 style="color:orange;">With Scraping:</h4>
<h6>For comprehensive company info with limited initial data.</h6>
<h3 style="color:purple;">Required Columns:</h3>
<ul>
<li><strong>π Website</strong></li>
<li><strong>π’ Company Name</strong></li>
<li><strong>π€ First Name</strong></li>
<li><strong>π€ Email</strong></li>
</ul>
<h4 style="color:orange;">Opt-Out of Scraping:</h4>
<h6>For complete company descriptions at hand.</h6>
<h4 style="color:purple;">Required Columns:</h4>
<ul>
<li><strong>π Website</strong></li>
<li><strong>π’ Company Name</strong></li>
<li><strong>π€ First Name</strong></li>
<li><strong>π Company Description</strong></li>
<li><strong>π€ Email</strong></li>
</ul>
""",unsafe_allow_html=True)
apollo_page_switch()
st.markdown("-----------------------------------------------------")
st.markdown("""
<h2 style='color: navy;'>Sales Core team - Apollo -</h2>
<h3 style='color: darkgreen;'>Data Processing Functions</h3>
<h4 style='color: teal;'>Company-Specific Client Function</h4>
<p>Upload a CSV with company names and websites.</p>
<ul>
<li><strong>With Scraping:</strong>
<ul>
<li>Required: <code>Website</code>, <code>Company Name for Emails</code></li>
<li>The tool scrapes for extra company information.</li>
</ul>
</li>
<li><strong>Opt Out:</strong>
<ul>
<li>Required: <code>Website</code>, <code>Company Name for Emails</code>, <code>Company Description</code> (used as <code>scraped_content</code>)</li>
<li>Provide your own company descriptions; no scraping.</li>
</ul>
</li>
</ul>
<h4 style='color: teal;'>User-Specific Client Function</h4>
<p>Upload a CSV with personal and company information.</p>
<ul>
<li><strong>With Scraping:</strong>
<ul>
<li>Required: <code>First Name</code>, <code>Company Name for Emails</code>, <code>Title</code>, <code>Website</code>, <code>Last Name</code>, <code>Person Linkedin Url</code>,<code>Email</code></li>
<li>The tool scrapes LinkedIn and other sources for additional information.</li>
</ul>
</li>
<li><strong>Opt Out:</strong>
<ul>
<li>Required: <code>First Name</code>, <code>Company Name for Emails</code>, <code>Person Linkedin Url</code>, <code>User Description</code> (used as <code>Scrapped Profile</code>),<code>Email</code></li>
<li>Use your data without scraping additional information.</li>
</ul>
</li>
</ul>
<h4 style='color: teal;'>Both Features Function</h4>
<p>Combine user and company-specific data processing.</p>
<ul>
<li><strong>With Scraping:</strong>
<ul>
<li>Required: <code>First Name</code>, <code>Company Name for Emails</code>, <code>Title</code>, <code>Last Name</code>, <code>Person Linkedin Url</code>, <code>Website</code>,<code>Email</code></li>
<li>Scrapes for comprehensive data on both individuals and companies.</li>
</ul>
</li>
<li><strong>Opt Out:</strong>
<ul>
<li>Required: <code>First Name</code>, <code>Company Name for Emails</code>, <code>Person Linkedin Url</code>, <code>Company Description</code> (used as <code>scraped_content</code>), <code>User Description</code> (used as <code>Scrapped Profile</code>),<code>Email</code></li>
<li>Rely on user-provided descriptions for both individuals and companies.</li>
</ul>
</li>
</ul>
""", unsafe_allow_html=True)
BH_page_switch()
logo_url = "https://i.imgur.com/WYnv26e.jpeg" # Replace this with your image's direct URL
st.markdown(
f"""
<style>
.logo {{
position: fixed;
bottom: 5px;
right: 5px;
width: 100px; # Adjust width as needed
}}
</style>
<img src="{logo_url}" class="logo">
""",
unsafe_allow_html=True,
)
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