Implement initial Streamlit UI for AI Life Coach

app.py

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+import streamlit as st
+from utils.config import config
+import requests
+
+# Set page config
+st.set_page_config(page_title="AI Life Coach", page_icon="🧘", layout="centered")
+
+# Sidebar for user selection
+st.sidebar.title("🧘 AI Life Coach")
+user = st.sidebar.selectbox("Select User", ["Rob", "Sarah"])
+st.sidebar.markdown("---")
+
+# Fetch Ollama status
+def get_ollama_status():
+    try:
+        response = requests.get("http://localhost:8000/api/ollama-status")
+        if response.status_code == 200:
+            return response.json()
+    except Exception:
+        return {"running": False, "model_loaded": None}
+
+ollama_status = get_ollama_status()
+
+# Display Ollama status
+if ollama_status["running"]:
+    st.sidebar.success(f"🧠 Model Running: {ollama_status['model_loaded']}")
+else:
+    st.sidebar.error("🧠 Ollama is not running or no model loaded.")
+
+# Main chat interface
+st.title("🧘 AI Life Coach")
+st.markdown("Talk to your personal development assistant.")
+
+if not ollama_status["running"]:
+    st.warning("⚠️ Ollama is not running. Please start Ollama to use the AI Life Coach.")
+else:
+    # Chat input
+    user_input = st.text_input("Your message...", key="input")
+    if st.button("Send"):
+        if user_input.strip() == "":
+            st.warning("Please enter a message.")
+        else:
+            # TODO: Send to backend and get response
+            st.markdown(f"**You:** {user_input}")
+            st.markdown(f"**AI Coach:** [Response will appear here after backend integration.]")