Upload 5 files

enrich.py

@@ -0,0 +1,45 @@
+import whois
+import time
+
+def enrich_domain_data(domains):
+    enriched = []
+    for domain in domains:
+        try:
+            info = whois.whois(domain)
+
+            # Handle emails safely
+            if info.emails:
+                if isinstance(info.emails, list):
+                    email = info.emails[0]
+                else:
+                    email = info.emails
+            else:
+                email = ""
+
+            org = info.org if info.org else ""
+            country = info.country if info.country else ""
+
+            # No LinkedIn search to avoid rate limits or external dependencies
+            linkedin = "Not searched"
+
+            enriched.append({
+                "domain": domain,
+                "email": email,
+                "organization": org,
+                "country": country,
+                "linkedin": linkedin
+            })
+
+            time.sleep(1)
+
+        except Exception as e:
+            enriched.append({
+                "domain": domain,
+                "error": str(e),
+                "email": "",
+                "organization": "",
+                "country": "",
+                "linkedin": ""
+            })
+
+    return enriched

requirements.txt

@@ -1,3 +1,7 @@
-altair
-pandas
-streamlit
+pandas
+requests
+streamlit
+python-dotenv
+googlesearch-python
+duckduckgo-search
+python-whois

sample_enriched_full.csv

@@ -0,0 +1,11 @@
+domain,email,organization,country,linkedin,score
+openai.com,contact@openai.com,OpenAI,US,https://linkedin.com/in/sam-altman,100
+github.com,support@github.com,GitHub,US,https://linkedin.com/in/thomas-dohmke,100
+example.com,info@example.com,Example Inc,US,https://linkedin.com/in/example-ceo,90
+stripe.com,hello@stripe.com,Stripe,US,https://linkedin.com/in/patrick-collison,100
+airbnb.com,team@airbnb.com,Airbnb,US,https://linkedin.com/in/brian-chesky,100
+dropbox.com,help@dropbox.com,Dropbox,US,https://linkedin.com/in/drew-houston,100
+notion.so,info@notion.so,Notion,US,https://linkedin.com/in/ivan-zhao,100
+figma.com,contact@figma.com,Figma,US,https://linkedin.com/in/dylan-field,100
+coursera.org,support@coursera.org,Coursera,US,https://linkedin.com/in/jeff-mag,100
+quora.com,info@quora.com,Quora,US,https://linkedin.com/in/adam-dangelo,100

streamlit_app.py

@@ -0,0 +1,40 @@
+import streamlit as st
+import pandas as pd
+from enrich import enrich_domain_data
+from utils import score_leads
+
+st.set_page_config(page_title="LeadSight AI", layout="wide")
+st.title(" LeadSight AI - Smart Lead Enrichment")
+
+# Upload CSV file
+uploaded_file = st.file_uploader("Upload CSV with domain column", type=["csv"])
+
+# Initialize session state
+if "leads_df" not in st.session_state:
+    st.session_state["leads_df"] = None
+
+# Handle file upload
+if uploaded_file:
+    df = pd.read_csv(uploaded_file)
+    if "domain" not in df.columns:
+        st.error(" CSV must contain a 'domain' column.")
+    else:
+        if st.button(" Enrich Leads"):
+            enriched = enrich_domain_data(df["domain"].tolist())
+            scored = score_leads(enriched)
+            st.session_state["leads_df"] = pd.DataFrame(scored)
+            st.success(" Leads enriched and scored!")
+
+# Always show results if available
+if st.session_state["leads_df"] is not None:
+    df = st.session_state["leads_df"]
+    st.subheader(" Enriched and Scored Leads")
+    st.dataframe(df)
+
+    csv = df.to_csv(index=False).encode("utf-8")
+    st.download_button(
+        label=" Download All Leads",
+        data=csv,
+        file_name="enriched_leads.csv",
+        mime="text/csv"
+    )

utils.py

@@ -0,0 +1,8 @@
+def score_leads(leads):
+    for lead in leads:
+        score = 0
+        if lead.get("email"): score += 40
+        if lead.get("organization"): score += 30
+        if lead.get("linkedin"): score += 30
+        lead["score"] = score
+    return leads