Replace dashboard with clean version

dashboard.py

@@ -1,131 +1,38 @@
 import streamlit as st
 import requests
-import json
 from datetime import datetime
-import time
 
-st.set_page_config(page_title="FYP Monitoring", layout="wide")
+st.set_page_config(page_title="FYP Dashboard", layout="wide")
+st.title("🚀 Multi-Agent Knowledge System Dashboard")
 
-st.title("🚀 Multi-Agent Knowledge System - Monitoring Dashboard")
+api_url = "http://localhost:8000"
 
-# Sidebar for controls
-st.sidebar.header("⚙️ Controls")
-if st.sidebar.checkbox("📊 Show Performance Charts"):
-    col1, col2 = st.columns(2)
-    
-    with col1:
-        # Latency chart
-        fig = go.Figure()
-        fig.add_trace(go.Indicator(
-            mode="gauge+number",
-            value=metrics.get('avg_latency_ms', 0),
-            title={'text': "Avg Latency (ms)"},
-            domain={'x': [0, 1], 'y': [0, 1]},
-            gauge={'axis': {'range': [0, 5000]},
-                   'bar': {'color': "darkblue"},
-                   'steps': [{'range': [0, 1000], 'color': "lightgray"}]}
-        ))
-        st.plotly_chart(fig, use_container_width=True)
-    
-    with col2:
-        # Confidence chart
-        fig = go.Figure()
-        fig.add_trace(go.Indicator(
-            mode="gauge+number",
-            value=metrics.get('avg_confidence', 0) * 100,
-            title={'text': "Avg Confidence (%)"},
-            domain={'x': [0, 1], 'y': [0, 1]},
-            gauge={'axis': {'range': [0, 100]},
-                   'bar': {'color': "darkgreen"},
-                   'steps': [{'range': [0, 70], 'color': "lightcoral"},
-                            {'range': [70, 100], 'color': "lightgreen"}]}
-        ))
-        st.plotly_chart(fig, use_container_width=True)
-
-# Metrics columns
+st.header("📊 Metrics")
 col1, col2, col3, col4 = st.columns(4)
 
 try:
-    # Get metrics from API
     metrics = requests.get(f"{api_url}/metrics").json()
-    
-    with col1:
-        st.metric("Total Queries", metrics.get("total_queries", 0))
-    with col2:
-        st.metric("Avg Latency (ms)", f"{metrics.get('avg_latency_ms', 0):.0f}")
-    with col3:
-        st.metric("Avg Confidence", f"{metrics.get('avg_confidence', 0):.0%}")
-    with col4:
-        st.metric("Cache Hit Rate", f"{metrics.get('cache_hit_rate', 0):.0%}")
-        
-except Exception as e:
-    st.error(f"❌ Cannot connect to API: {e}")
+    col1.metric("Total Queries", metrics.get("total_queries", 0))
+    col2.metric("Avg Latency (ms)", f"{metrics.get('avg_latency_ms', 0):.0f}")
+    col3.metric("Avg Confidence", f"{metrics.get('avg_confidence', 0):.0%}")
+    col4.metric("Cache Hit Rate", f"{metrics.get('cache_hit_rate', 0):.0%}")
+except:
+    st.error("Cannot connect to API")
 
 st.divider()
 
-# Query Testing Section
-st.header("🧪 Test Queries")
-
-query = st.text_input("Enter a query:", "What is FastAPI?")
+st.header("🧪 Test Query")
+query = st.text_input("Enter query:", "What is FastAPI?")
 
-if st.button("Send Query"):
-    try:
-        with st.spinner("Processing..."):
-            response = requests.post(
-                f"{api_url}/query",
-                json={"query": query}
-            ).json()
-        
-        # Display results
-        st.success("✅ Query processed successfully!")
-        
-        col1, col2 = st.columns([2, 1])
-        
-        with col1:
-            st.subheader("📝 Answer")
-            st.write(response.get("answer", "No answer"))
-            
-        with col2:
-            st.subheader("📊 Metrics")
-            st.metric("Confidence", f"{response['validation']['confidence']}%")
-            st.metric("Processing Time", f"{response['processing_time']:.2f}s")
-            st.metric("Status", response['validation']['status'])
-        
-        st.subheader("📚 Sources")
-        for i, source in enumerate(response.get("sources", []), 1):
-            st.write(f"{i}. **{source['source']}** (Relevance: {source['relevance']:.0%})")
-            
-    except Exception as e:
-        st.error(f"❌ Error: {e}")
+if st.button("Send", key="unique_send"):
+    response = requests.post(f"{api_url}/query", json={"query": query}).json()
+    st.write(response.get("answer"))
+    st.metric("Confidence", f"{response['validation']['confidence']}%")
 
 st.divider()
-
-# Query History Section
-
-st.header("📜 Query History")
-
-if 'query_history' not in st.session_state:
-    st.session_state.query_history = []
-
-# Store query in history
-if st.button("Send Query"):
-    st.session_state.query_history.append({
-        'query': query,
-        'time': datetime.now().strftime("%H:%M:%S"),
-        'confidence': response['validation']['confidence']
-    })
-
-# Display history
-for item in reversed(st.session_state.query_history[-5:]):
-    st.write(f"🕐 {item['time']} | {item['query']} | Confidence: {item['confidence']}%")
-
-# Health Check
-st.header("🏥 System Health")
-
+st.header("🏥 Health")
 try:
     health = requests.get(f"{api_url}/health").json()
-    st.success(f"✅ API Status: {health.get('status', 'unknown')}")
+    st.success("✅ API Running")
 except:
-    st.error("❌ API is down")
-
-st.info("💡 Tip: Keep this dashboard open to monitor your system in real-time!")
+    st.error("❌ API Down")