Added features

app.py

@@ -2,20 +2,63 @@
 
 import gradio as gr
 import pandas as pd
-from combined_email_finder import get_emails_with_feedback
+import time
+from combined_email_finder import get_combined_emails
+
+def extract_emails_with_feedback(domain):
+    """Yields progress messages during extraction and returns email list + downloadable CSV."""
+    yield "🟡 Step 1: Starting email extraction..."
+
+    time.sleep(0.5)
+    yield "🟠 Step 2: Crawling the homepage and common subpages..."
+
+    time.sleep(0.5)
+    yield "🔵 Step 3: Searching engines like Google and Bing..."
+
+    time.sleep(0.5)
+    emails = get_combined_emails(domain)
+
+    if emails:
+        yield "🟢 Step 4: Emails found!\n" + "\n".join(emails)
+    else:
+        yield "⚠️ No valid emails found for this domain."
 
 def get_results_csv(domain):
-    emails = get_emails_with_feedback(domain)
+    """Returns CSV file for download based on extracted emails."""
+    emails = get_combined_emails(domain)
+    if not emails:
+        return None
     df = pd.DataFrame({"Email": emails})
-    csv_path = "emails.csv"
+    csv_path = "extracted_emails.csv"
     df.to_csv(csv_path, index=False)
     return csv_path
 
-gr.Interface(
-    fn=get_results_csv,
-    inputs=gr.Textbox(label="Enter a Domain (e.g. example.com)"),
-    outputs=gr.File(label="Download CSV of Emails"),
-    title="AI-Powered EmailFinder (Search Engine Scraper)",
-    description="Uses both live webpage scraping and search engine techniques (via EmailFinder) to extract emails from a domain.",
-    live=True
-).launch()
+# --- GRADIO UI ---
+
+with gr.Blocks(title="AI-Powered Email Extractor", theme=gr.themes.Default()) as demo:
+    gr.Markdown("# 📧 AI-Powered EmailFinder")
+    gr.Markdown("This adaptive interface finds emails from a domain using both live scraping and search engines.")
+    
+    with gr.Row():
+        domain_input = gr.Textbox(label="🌐 Enter a Domain (e.g. example.com)", elem_id="domain_input", info="Required for email extraction")
+
+    with gr.Row():
+        submit_button = gr.Button("🔍 Extract Emails")
+        csv_button = gr.Button("📥 Download Emails as CSV")
+
+    feedback_output = gr.Textbox(label="📝 Progress & Results", lines=10)
+    download_output = gr.File(label="Download CSV File", file_types=[".csv"])
+
+    # Event: When 'Extract Emails' is clicked
+    submit_button.click(
+        extract_emails_with_feedback,
+        inputs=domain_input,
+        outputs=feedback_output
+    )
+
+    # Event: When 'Download CSV' is clicked
+    csv_button.click(
+        get_results_csv,
+        inputs=domain_input,
+        outputs=download_output
+    )

combined_email_finder.py

@@ -47,24 +47,6 @@ def get_combined_emails(domain):
     valid_emails = filter_emails(all_emails)
     return valid_emails or ["No emails found."]
 
-# DYNAMIC FEEDBACK
-
-def get_emails_with_feedback(domain):
-    import time
-
-    yield "Starting email search..."
-    time.sleep(0.5)
-    yield "Scraping hompage and key pages..."
-    time.sleep(0.5)
-    yield "Quering search engines..."
-    time.sleep(0.5)
-
-    emails = get_combined_emails(domain)
-    if emails and isinstance(emails, list):
-        yield "Emails found:\n" + "\n".join(emails)
-    else:
-        yield "No valid emails found."
-
 if __name__ == "__main__":
     emails = get_combined_emails("gunvorgroup.com")
     print("Found emails:")