Add Streamlit multipage app with FastAPI backend

Dockerfile

@@ -1,18 +1,21 @@
 FROM python:3.11-slim
 
-# Add user
+# Create user
 RUN useradd -m -u 1000 user
 USER user
 ENV PATH="/home/user/.local/bin:$PATH"
 
 WORKDIR /app
 
-# Install dependencies
+# Install deps
 COPY --chown=user requirements.txt requirements.txt
-RUN pip install --no-cache-dir --upgrade -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy project
+# Copy app files
 COPY --chown=user . /app
 
-# Run FastAPI (main entrypoint for the Space)
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+# Hugging Face requires port 7860
+EXPOSE 7860
+
+# Run Streamlit on port 7860
+CMD ["streamlit", "run", "app.py", "--server.port=7860", "--server.address=0.0.0.0"]

api_backend.py

@@ -0,0 +1,8 @@
+from fastapi import FastAPI
+from fastapi.responses import JSONResponse
+
+app = FastAPI(title="Omniscient Backend API")
+
+@app.get("/health")
+def health():
+    return JSONResponse({"ok": True, "message": "Omniscient backend alive"})

app.py

@@ -1,12 +1,28 @@
-from fastapi import FastAPI
-from fastapi.responses import JSONResponse
+import streamlit as st
 
-app = FastAPI(title="Omniscient Hybrid UI")
+st.set_page_config(page_title="Omniscient Dashboard", layout="wide")
 
-@app.get("/")
-def root():
-    return {"status": "ok", "message": "Omniscient Hybrid Space Running!"}
+st.title("🤖 Omniscient LLM Dashboard")
+st.write("This Hugging Face Space runs **Streamlit** as the default UI.")
 
-@app.get("/health")
-def health():
-    return JSONResponse({"ok": True, "frameworks": ["Streamlit", "Gradio", "Chainlit"]})
+page = st.sidebar.radio("📑 Pages", ["Chat", "System Health"])
+
+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)")

pages/Omnieye.py

@@ -0,0 +1,4 @@
+import streamlit as st
+
+st.title("👁️ Omnieye")
+st.write("This is a placeholder for the Omnieye module.")

pages/Omnilog.py

@@ -0,0 +1,4 @@
+import streamlit as st
+
+st.title("📜 Omnilog")
+st.write("This is a placeholder for the Omnilog module.")