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app.py

@@ -1,153 +1,165 @@
+
+
 import streamlit as st
-st.write("Maintenance notice to release the new version that support business hubs")
-# import streamlit as st
-# import pandas as pd
-# import requests
-# import os
-
-# def main():
-
-#     BackendService=os.getenv("backend") 
-#     input_data=None    
-#     submitted=None
-#     # Wrap everything inside a form
-#     with st.sidebar:
-       
-#         uploaded_file = st.file_uploader("Kindly upload a CSV file that includes the names and websites of the companies", type=["csv"])
-#         opt_out_scraping = st.checkbox("Opt out of scraping")
-#         if uploaded_file is not None:
-#             try:
-#                 # Detect file type and read accordingly
-#                 file_type = uploaded_file.name.split('.')[-1]
-#                 if file_type == 'csv':
-#                     df = pd.read_csv(uploaded_file)
-#                 elif file_type == 'xlsx':
-#                     df = pd.read_excel(uploaded_file)
-    
-#                # Limiting the dataframe for processing
-    
-#                 # Check if 'Website' column exists
-#                 if 'Website' not in df.columns:
-#                     all_columns = df.columns.tolist()
-#                     website_column  = st.selectbox("Select the column for Website:", all_columns)
-#                 else:
-#                     website_column  = 'Website'
-                    
-                    
-#                     # Check if 'Company Name for Emails' column exists
-#                 if 'Company Name for Emails' not in df.columns:
-#                     all_columns = df.columns.tolist()
-#                     company_column= st.selectbox("Select the column for Company Name for Emails:", all_columns)
-#                 else:
-#                     company_column = 'Company Name for Emails'
-                    
-#                 if opt_out_scraping:
-#                     if 'Description' not in df.columns:
-#                         all_columns = df.columns.tolist()
-#                         description_column = st.selectbox("Select the column for Description:", all_columns)
-#                         df.rename(columns={description_column: 'scraped_content'}, inplace=True)
-#                     else:
-#                         df.rename(columns={'Description': 'scraped_content'}, inplace=True)     
-                    
-#                 input_data=df  
-                
-#             except Exception as E :
-#                 st.error("An error occured while processing the file")
-       
-#         with st.form(key='my_form'):
-#             # Fetch the filtered data
-#             prompt_notes= st.text_input("If applicable please mention the network name")
-            
-#            # List of predefined email addresses
-#             email_options = [
-#                 "[email protected]",
-#                 "[email protected]",
-#                 "[email protected]",
-#                 "[email protected]",
-#                 "[email protected]",
-#                 "[email protected]",
-#                 "[email protected]"
-#             ]
-            
-#             # Streamlit select box for choosing an email
-#             email_receiver = st.selectbox("Please select an email address", email_options)
-            
 
-#     # If the button is clicked, it will return True for this run
-#             button_clicked = st.form_submit_button("Submit")
-            
-#             # 2. Update session state for the button
-#             if button_clicked:
-#                 submitted = True
-#                 # Set the session state to the new value
-#                 prompt_notes = prompt_notes 
-# # 3. Use the session state variable to determine if the button was previously clicked
-#     if submitted and input_data is not None:
-#         df = input_data
-#         if not opt_out_scraping:
-#             df[website_column] = df[website_column].astype(str)
-#             df=df[[website_column,company_column]]
-#             df.columns = ["Website","Company Name for Emails"]
-#             df = df.drop_duplicates(subset="Website", keep='first')
-#             df = df.dropna().loc[~(df == '').all(axis=1)]
-#         else:
-#             df[website_column] = df[website_column].astype(str)
-#             df=df[[website_column,company_column,"scraped_content"]]
-#             df.columns = ["Website","Company Name for Emails","scraped_content"]
-#             df = df.drop_duplicates(subset="Website", keep='first')
-#             df = df.dropna().loc[~(df == '').all(axis=1)]
-            
-            
-#         st.write(df)
-#         # Convert DataFrame to CSV for transmission
-#         csv = df.to_csv(index=False)
-    
-#         # Construct the data to send
-#         data_to_send = {"prompt_notes": prompt_notes, "dataframe": csv,"email_receiver":email_receiver}
-    
-#         # Sending the POST request to FastAPI
-#         response = requests.post(BackendService, json=data_to_send)
-    
-#         if response.status_code == 200:
-#             st.info(f"We're processing your request. You can close the app now. An email will be sent to {email_receiver} once the process is finished.")
-#         else:
-#             st.error("Data transmission failed. Please verify that your file contains the labels 'Company Website' and 'Company Name'. Additionally, ensure that your file is valid and contains records and try again , if the problem persists please contact us at [email protected]")
+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 🌍</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>👤 First Name</strong></li>
+  <li><strong>🏢 Company Name</strong></li>
+  <li><strong>🌐 Domain</strong></li>
+  <li><strong>📌 Title</strong></li>
+  <li><strong>🔗 Person LinkedIn URL</strong></li>
+  <li><strong>🔗 Company website</strong></li>
+  <li><strong>👤 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>👤 First Name</strong></li>
+  <li><strong>🏢 Company Name</strong></li>
+  <li><strong>🌐 Domain</strong></li>
+  <li><strong>📝 User Description</strong></li>
+  <li><strong>👤 Email</strong></li>
+</ul>
+
+<h3 style="color:green;">🏢 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>🔗 Website</strong></li>
+  <li><strong>🏢 Company Name</strong></li>
+  <li><strong>👤 First Name</strong></li>
+  <li><strong>👤 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>🔗 Website</strong></li>
+  <li><strong>🏢 Company Name</strong></li>
+  <li><strong>👤 First Name</strong></li>
+  <li><strong>📝 Company Description</strong></li>
+  <li><strong>👤 Email</strong></li>
+</ul>
+
+
+
             
+""",unsafe_allow_html=True)
+
+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)
+
+
 
-# if __name__ == "__main__":
-#     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)
-    
-    
-    
-#     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,
-#     )
-#     main()
+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,
+)
 

pages/Apollo_Extract.py

@@ -0,0 +1,75 @@
+import streamlit as st 
+from clients import CompanySpecificClient,UserSpecificClient,bothFeaturesFunction
+
+def main():
+    # Start of the form
+    if 'form_submitted' not in st.session_state:
+        st.session_state['form_submitted'] = False
+    with st.form(key='my_form'):
+        options = ["Company-Specific Email Outreach", "Leadership Email Customization"]
+        selected_options = st.multiselect("Please select the needed features", options)
+    
+        email_options = [
+            "[email protected]",
+            "[email protected]",
+            "[email protected]",
+            "[email protected]",
+            "[email protected]",
+            "[email protected]",
+            "[email protected]"
+        ]
+        email_receiver = st.selectbox("Please select an email address", email_options)
+    
+        # Submit button for the form
+        submit_button = st.form_submit_button(label='Select features')
+    
+    # Check if the form has been submitted
+    if submit_button:
+        st.session_state['form_submitted'] = True
+    if  st.session_state['form_submitted']:  
+        if "Company-Specific Email Outreach" in selected_options and "Leadership Email Customization" in selected_options:
+            bothFeaturesFunction(email_receiver)
+        elif "Company-Specific Email Outreach" in selected_options :
+            CompanySpecificClient(email_receiver)
+        elif "Leadership Email Customization" in selected_options :
+            UserSpecificClient(email_receiver)
+        
+                
+
+if __name__ == "__main__":
+    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)
+    
+    
+    
+    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,
+    )
+    main()
+

pages/Business_Hubs.py

@@ -0,0 +1,89 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+"""
+Created on Tue Jan  2 12:26:26 2024
+
+@author: mohanadafiffy
+"""
+
+import streamlit as st 
+from clients import BH_Ngo ,BH_industry
+
+def main():
+    # Start of the form
+    if 'form_submitted' not in st.session_state:
+        st.session_state['form_submitted'] = False
+
+    # Dictionary mapping emails to sender names
+    email_to_sender = {
+        "[email protected]": "Michael",
+        "[email protected]": "James",
+        "[email protected]": "Weronika",
+        "[email protected]": "Paulina",
+        "[email protected]": "Fabio",
+        "[email protected]": "Rudradeb",
+        "[email protected]": "Mohanad"
+    }
+
+    with st.form(key='my_form'):
+        options = ["NGO Emails", "Industry company focused Emails"]
+        selected_options = st.selectbox("Please select the needed features", options,key='select feature')
+    
+        email_options = list(email_to_sender.keys())
+        email_receiver = st.selectbox("Please select an email address", email_options)
+    
+        # Display the sender name based on the selected email
+        sender_name = email_to_sender.get(email_receiver, " ")
+
+        # Submit button for the form
+        calendly_link = st.text_input("Please write your Calendly link")
+        submit_button = st.form_submit_button(label='Select features')
+    
+    # Check if the form has been submitted
+    if submit_button:
+        st.session_state['form_submitted'] = True
+    if  st.session_state['form_submitted']:  
+        if "NGO Emails" in selected_options :
+            BH_Ngo(email_receiver,calendly_link,sender_name)
+        elif "Industry company focused Emails" in selected_options :
+            BH_industry(email_receiver,calendly_link,sender_name)
+        
+                
+
+if __name__ == "__main__":
+    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)
+    
+    
+    
+    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,
+    )
+    main()
+