fix

app.py

@@ -2,65 +2,36 @@
 
 import gradio as gr
 import pandas as pd
-import time
+import tempfile
 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)
+def extract_emails(domain):
     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."
+        return "\n".join(emails)
+    return "⚠️ No valid emails found."
 
-def get_results_csv(domain):
-    """Returns CSV file for download based on extracted emails."""
+def export_csv(domain):
     emails = get_combined_emails(domain)
     if not emails:
         return None
     df = pd.DataFrame({"Email": emails})
-    csv_path = "extracted_emails.csv"
-    df.to_csv(csv_path, index=False)
-    return csv_path
-
-# --- 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
-    )
-
-demo.launch(share=True)
+    with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode='w', encoding='utf-8') as tmp:
+        df.to_csv(tmp.name, index=False)
+        return tmp.name
+
+iface = gr.Interface(
+    fn=extract_emails,
+    inputs=gr.Textbox(label="🌐 Enter Domain (e.g. example.com)", placeholder="example.com"),
+    outputs=[
+        gr.Textbox(label="📧 Extracted Emails", lines=10),
+        gr.File(label="📥 Download CSV")
+    ],
+    title="AI-Powered EmailFinder",
+    description="Finds emails using webpage crawling and search engines via EmailFinder."
+)
+
+# Add a second function call for the CSV generator
+iface.add_component("📥 Download Emails as CSV", export_csv)
+
+iface.launch()