Spaces:
Sleeping
Sleeping
File size: 1,248 Bytes
d2019da 0159c5b 5ecd59e 86d57b9 5ecd59e 86d57b9 99d880b 0159c5b 5ecd59e 86d57b9 0159c5b 5ecd59e b5894f9 5ecd59e b5894f9 5ecd59e 99d880b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
import gradio as gr
import pandas as pd
import tempfile
from combined_email_finder import get_combined_emails
def extract_emails(domain):
emails = get_combined_emails(domain)
return "\n".join(emails) if emails else "⚠️ No valid emails found."
def export_csv(domain):
emails = get_combined_emails(domain)
if not emails:
return None
df = pd.DataFrame({"Email": emails})
with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode='w', encoding='utf-8') as tmp:
df.to_csv(tmp.name, index=False)
return tmp.name
# Create the two interfaces
email_interface = gr.Interface(
fn=extract_emails,
inputs=gr.Textbox(label="Enter Domain"),
outputs=gr.Textbox(label="Extracted Emails", lines=10),
title="📧 Email Extractor",
description="Scrapes and extracts emails from a domain."
)
csv_interface = gr.Interface(
fn=export_csv,
inputs=gr.Textbox(label="Enter Domain"),
outputs=gr.File(label="Download CSV"),
title="📥 CSV Exporter",
description="Download extracted emails as a CSV file."
)
# Combine into tabbed interface
demo = gr.TabbedInterface(
[email_interface, csv_interface],
tab_names=["Extract Emails", "Download CSV"]
)
demo.launch() |