Switch to Streamlit UI and add multipage layout

app.py

@@ -3,26 +3,14 @@ import streamlit as st
 st.set_page_config(page_title="Omniscient Dashboard", layout="wide")
 
 st.title("🤖 Omniscient LLM Dashboard")
-st.write("This Hugging Face Space runs **Streamlit** as the default UI.")
+st.write("Welcome! This Space is running **Streamlit multipage mode**.")
 
-page = st.sidebar.radio("📑 Pages", ["Chat", "System Health"])
+st.metric("Active Sessions", len(st.session_state.get("messages", [])))
+st.success("System ready ✅")
 
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-
-if page == "Chat":
-    st.subheader("Chat Interface")
-    for m in st.session_state.messages:
-        st.chat_message(m["role"]).write(m["content"])
-
-    if prompt := st.chat_input("Ask me anything..."):
-        st.session_state.messages.append({"role": "user", "content": prompt})
-        with st.chat_message("assistant"):
-            reply = f"Echo: {prompt} (LLM hook goes here)"
-            st.write(reply)
-            st.session_state.messages.append({"role": "assistant", "content": reply})
-
-elif page == "System Health":
-    st.subheader("System Health")
-    st.metric("Active Sessions", len(st.session_state.get("messages", [])))
-    st.success("Backend API is running on /health (FastAPI)")
+st.markdown("""
+Use the sidebar to access:
+- 👁️ Omnieye → keyword/file analysis
+- 📜 Omnilog → log parsing & summaries
+- 🧪 Example → placeholder module
+""")

pages/Example.py

@@ -0,0 +1,4 @@
+import streamlit as st
+
+st.title("🧪 Example Page")
+st.write("Drop any `.py` file into `/pages/` and it appears in the sidebar automatically.")

pages/Omnieye.py

@@ -1,4 +1,18 @@
 import streamlit as st
+import re
 
 st.title("👁️ Omnieye")
-st.write("This is a placeholder for the Omnieye module.")
+st.write("Keyword/file analyzer module")
+
+uploaded = st.file_uploader("Upload a text/log file", type=["txt", "log"])
+if uploaded:
+    content = uploaded.read().decode("utf-8", errors="ignore")
+
+    query = st.text_input("🔍 Search for keyword")
+    if query:
+        matches = [line for line in content.splitlines() if re.search(query, line, re.IGNORECASE)]
+        st.write(f"Found {len(matches)} matches")
+        st.code("\n".join(matches[:50]))
+
+    st.subheader("📋 File Preview")
+    st.code("\n".join(content.splitlines()[:30]))

pages/Omnilog.py

@@ -1,4 +1,26 @@
 import streamlit as st
+import re, hashlib
 
 st.title("📜 Omnilog")
-st.write("This is a placeholder for the Omnilog module.")
+st.write("Log analyzer module")
+
+uploaded = st.file_uploader("Upload a log file", type=["log", "txt"])
+if uploaded:
+    content = uploaded.read().decode("utf-8", errors="ignore")
+
+    noise = re.compile(r"^\w{3}\s+\d+\s+\d{2}:\d{2}:\d{2}\s+[\w\-\.\:]+\s+")
+    normalized = [noise.sub("", line) for line in content.splitlines()]
+
+    st.subheader("🧹 Normalized Logs")
+    st.code("\n".join(normalized[:50]))
+
+    st.subheader("📊 Stats")
+    st.metric("Total Lines", len(normalized))
+    st.metric("Unique Entries", len(set(normalized)))
+    st.write("SHA1 Digest:", hashlib.sha1(content.encode()).hexdigest())
+
+    query = st.text_input("🔍 Search logs")
+    if query:
+        matches = [line for line in normalized if query.lower() in line.lower()]
+        st.success(f"Found {len(matches)} matches")
+        st.code("\n".join(matches[:50]))