Upload 2 files

app,py.txt

@@ -0,0 +1,82 @@
+import streamlit as st
+import random
+import time
+
+# ----- PAGE CONFIG -----
+st.set_page_config(page_title="🚦 AI Traffic Cloud Dashboard", layout="wide", initial_sidebar_state="expanded")
+
+# ----- CUSTOM DARK THEME -----
+st.markdown("""
+    <style>
+    body {
+        background-color: #0E1117;
+        color: white;
+    }
+    .metric-container {
+        background-color: #1E222A;
+        border-radius: 10px;
+        padding: 15px;
+        text-align: center;
+        box-shadow: 0 0 10px rgba(0, 255, 100, 0.1);
+    }
+    .stMetric {
+        font-size: 22px;
+    }
+    </style>
+""", unsafe_allow_html=True)
+
+# ----- TITLE -----
+st.title("🌐 AI Traffic Cloud System Dashboard")
+st.markdown("#### Real-time Urban Traffic Monitoring and Control")
+
+# ----- VIDEO UPLOAD -----
+st.sidebar.header("🎥 Upload Traffic Video")
+video_file = st.sidebar.file_uploader("Upload traffic footage", type=["mp4", "avi", "mov"])
+
+if video_file:
+    st.video(video_file)
+    with st.spinner("Analyzing video using YOLO + DeepSORT..."):
+        time.sleep(5)  # simulate analysis delay
+
+    # ----- SIMULATED RESULTS -----
+    total_vehicles = random.randint(80, 200)
+    car_count = int(total_vehicles * 0.65)
+    truck_count = int(total_vehicles * 0.25)
+    bike_count = total_vehicles - (car_count + truck_count)
+    congestion_level = random.randint(30, 90)
+    emergency_vehicle_detected = random.choice([True, False])
+
+    st.markdown("---")
+    st.subheader("📊 Detection Summary")
+
+    col1, col2, col3, col4 = st.columns(4)
+    col1.metric("🚗 Cars", car_count)
+    col2.metric("🚚 Trucks", truck_count)
+    col3.metric("🏍️ Bikes", bike_count)
+    col4.metric("🚦 Total Vehicles", total_vehicles)
+
+    st.markdown("---")
+    st.subheader("📈 Traffic Density & Lane Control")
+    st.progress(congestion_level / 100)
+    st.write(f"Current congestion: **{congestion_level}%**")
+
+    # ----- GREEN CORRIDOR LOGIC -----
+    st.markdown("---")
+    st.subheader("🟢 Emergency Green Corridor System")
+
+    if emergency_vehicle_detected:
+        st.success("🚑 Emergency Vehicle Detected — Activating Green Corridor!")
+        st.markdown("""
+        - 🔄 Synchronizing signals across intersections  
+        - 🟩 Clearing lanes for emergency route  
+        - 📡 Notifying nearby traffic units  
+        """)
+        st.balloons()
+    else:
+        st.info("✅ No emergency vehicles detected. Traffic flow normal.")
+
+    st.markdown("---")
+    st.caption("💡 Powered by simulated YOLO + DeepSORT AI | Cloud Intelligence for Smart Cities")
+
+else:
+    st.info("⬆️ Upload a traffic video to start AI analysis and visualization.")

requirements.txt

@@ -0,0 +1,6 @@
+streamlit
+ultralytics
+deep-sort-realtime
+opencv-python
+pandas
+numpy