Create SkipTrace.py

pages/SkipTrace.py

@@ -0,0 +1,62 @@
+import streamlit as st
+import sys, os, requests
+
+# ─── Ensure utils/ is importable ──────────────────────────────
+UTILS_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), ".."))
+if UTILS_PATH not in sys.path:
+    sys.path.append(UTILS_PATH)
+
+from utils.backend import run_llm
+
+st.title("🕵️ OSINT Skip-Trace AI Chatbot")
+st.write("Search for a person, email, or domain and let AI summarize the OSINT results.")
+
+# Init session state
+if "skiptrace_chat" not in st.session_state:
+    st.session_state.skiptrace_chat = []
+if "skiptrace_output" not in st.session_state:
+    st.session_state.skiptrace_output = []
+
+# ─── OSINT Search Helper ──────────────────────────────────────
+def run_osint_query(query: str) -> dict:
+    """Perform lightweight OSINT searches (public endpoints + AI summary)."""
+    results = []
+
+    # Example: DuckDuckGo instant answers API
+    try:
+        url = f"https://api.duckduckgo.com/?q={query}&format=json&no_redirect=1&no_html=1"
+        resp = requests.get(url, timeout=10).json()
+        abstract = resp.get("AbstractText") or "No summary found."
+        results.append(f"🔎 DuckDuckGo: {abstract}")
+    except Exception as e:
+        results.append(f"⚠️ DuckDuckGo error: {e}")
+
+    # AI summarization
+    ai_summary = run_llm(f"Provide an OSINT-style skip-trace summary for:\n{query}\n\nResults:\n" + "\n".join(results))
+
+    return {
+        "query": query,
+        "raw_results": results,
+        "ai_summary": ai_summary
+    }
+
+# ─── Chatbot UI ───────────────────────────────────────────────
+for msg in st.session_state.skiptrace_chat:
+    with st.chat_message(msg["role"]):
+        st.markdown(msg["content"])
+
+if prompt := st.chat_input("Enter a name, email, or domain to OSINT..."):
+    st.session_state.skiptrace_chat.append({"role": "user", "content": prompt})
+    with st.chat_message("user"):
+        st.markdown(prompt)
+
+    # Run OSINT + AI
+    result = run_osint_query(prompt)
+    reply = f"**AI Skip-Trace Summary for '{prompt}':**\n\n{result['ai_summary']}"
+    
+    with st.chat_message("assistant"):
+        st.markdown(reply)
+
+    # Save to state
+    st.session_state.skiptrace_chat.append({"role": "assistant", "content": reply})
+    st.session_state.skiptrace_output.append(result)