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app.py

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+import streamlit as st
+import requests
+from geopy.distance import great_circle
+import folium
+from streamlit_folium import st_folium
+from datetime import datetime
+
+def format_datetime(iso_string):
+    # Convert ISO 8601 string to datetime object
+    dt_object = datetime.fromisoformat(iso_string)
+    # Format as DD-MM-YYYY and 24-hour time
+    return dt_object.strftime("%d-%m-%Y %H:%M")
+
+
+# Expanded list of Indian cities with their latitude and longitude
+cities = {
+    "Visakhapatnam": (17.6868, 83.2185),
+    "Delhi": (28.6139, 77.2090),
+    "Mumbai": (19.0760, 72.8777),
+    "Bangalore": (12.9716, 77.5946),
+    "Chennai": (13.0827, 80.2707),
+    "Kolkata": (22.5726, 88.3639),
+    "Hyderabad": (17.3850, 78.4867),
+    "Pune": (18.5204, 73.8567),
+    "Jaipur": (26.9124, 75.7873),
+    "Ahmedabad": (23.0225, 72.5714),
+    "Surat": (21.1702, 72.8311),
+    "Lucknow": (26.8467, 80.9462),
+    "Kanpur": (26.4499, 80.3319),
+    "Nagpur": (21.1458, 79.0882),
+    "Indore": (22.7196, 75.8577),
+    "Bhopal": (23.2599, 77.4126),
+    "Patna": (25.5941, 85.1376),
+    "Vadodara": (22.3072, 73.1812),
+    "Ludhiana": (30.9010, 75.8573),
+    "Agra": (27.1767, 78.0081),
+    "Nashik": (19.9975, 73.7898),
+    "Faridabad": (28.4089, 77.3178),
+    "Meerut": (28.9845, 77.7064),
+    "Rajkot": (22.3039, 70.8022),
+    "Varanasi": (25.3176, 82.9739),
+    "Srinagar": (34.0837, 74.7973),
+    "Amritsar": (31.6340, 74.8723),
+    "Navi Mumbai": (19.0330, 73.0297),
+    "Allahabad": (25.4358, 81.8463),
+    "Ranchi": (23.3441, 85.3096),
+    "Coimbatore": (11.0168, 76.9558),
+    "Jabalpur": (23.1815, 79.9864),
+    "Gwalior": (26.2183, 78.1828),
+    "Vijayawada": (16.5062, 80.6480),
+    "Jodhpur": (26.2389, 73.0243),
+    "Madurai": (9.9252, 78.1198),
+    "Raipur": (21.2514, 81.6296),
+    "Kota": (25.2138, 75.8648),
+    "Guwahati": (26.1445, 91.7362),
+    "Chandigarh": (30.7333, 76.7794),
+    "Solapur": (17.6599, 75.9064)
+}
+
+def get_weather(lat, lon):
+    # Using Open-Meteo API
+    url = f"https://api.open-meteo.com/v1/forecast?latitude={lat}&longitude={lon}&current_weather=true"
+    response = requests.get(url)
+    
+    if response.status_code == 200:
+        data = response.json()
+        current_weather = data['current_weather']
+        weather = {
+            'temperature': current_weather['temperature'],
+            'wind_speed': current_weather['windspeed'],
+            'wind_direction': current_weather['winddirection'],
+            'time': current_weather['time']
+        }
+        return weather
+    else:
+        return None
+
+def find_nearest_city(lat, lon):
+    min_distance = float('inf')
+    nearest_city = None
+    for city, (city_lat, city_lon) in cities.items():
+        distance = great_circle((lat, lon), (city_lat, city_lon)).kilometers
+        if distance < min_distance:
+            min_distance = distance
+            nearest_city = city
+    return nearest_city
+
+# Streamlit Layout
+
+
+
+st.set_page_config(page_title="Indian Cities Weather", layout="wide")
+
+st.title("🌤️ Indian Cities Weather App")
+
+# Dropdown Menu
+st.sidebar.subheader("Select a City")
+selected_city = st.sidebar.selectbox("Choose a city:", list(cities.keys()))
+
+
+
+# Show weather for selected city
+if selected_city:
+    lat, lon = cities[selected_city]
+    weather = get_weather(lat, lon)
+    if weather:
+        st.markdown(f"### Weather in {selected_city}")
+        st.markdown(f"- 🌡️ Temperature: **{weather['temperature']}°C**")
+        st.markdown(f"- 💨 Wind Speed: **{weather['wind_speed']} km/h**")
+        st.markdown(f"- 🧭 Wind Direction: **{weather['wind_direction']}°**")
+        formatted_time = format_datetime(weather['time'])
+        st.markdown(f"- 🕒 Reported at: **{formatted_time}**")
+
+
+# Interactive Map with Clickable Markers
+st.subheader("📍 Click on the Map or Select a City to Get Weather Information")
+
+# Create a map with OpenStreetMap tiles for better compatibility
+m = folium.Map(location=[22.9734, 78.6569], zoom_start=5, tiles='OpenStreetMap', 
+               attr='Map data © OpenStreetMap contributors')
+
+# Add markers with popups for each city
+for city, (lat, lon) in cities.items():
+    weather = get_weather(lat, lon)
+    if weather:
+        popup_text = (f"<b>{city}</b><br>"
+                      f"🌡️ Temp: {weather['temperature']}°C<br>"
+                      f"💨 Wind: {weather['wind_speed']} km/h<br>"
+                      f"🧭 Dir: {weather['wind_direction']}°<br>"
+                      f"🕒 Time: {weather['time']}")
+        folium.Marker(
+            [lat, lon],
+            popup=folium.Popup(popup_text, max_width=250),
+            tooltip=city,
+            icon=folium.Icon(color='blue', icon='info-sign')
+        ).add_to(m)
+
+# Display map in Streamlit
+clicked_location = st_folium(m, width=800, height=600)
+
+# Get weather of nearest city when clicking on map
+if clicked_location and clicked_location['last_clicked']:
+    lat = clicked_location['last_clicked']['lat']
+    lon = clicked_location['last_clicked']['lng']
+    nearest_city = find_nearest_city(lat, lon)
+    
+    if nearest_city:
+        st.markdown(f"### Nearest City: **{nearest_city}**")
+        nearest_lat, nearest_lon = cities[nearest_city]
+        weather = get_weather(nearest_lat, nearest_lon)
+        if weather:
+            st.markdown(f"- 🌡️ Temperature: **{weather['temperature']}°C**")
+            st.markdown(f"- 💨 Wind Speed: **{weather['wind_speed']} km/h**")
+            st.markdown(f"- 🧭 Wind Direction: **{weather['wind_direction']}°**")
+            st.markdown(f"- 🕒 Reported at: **{weather['time']}**")
+
+
+st.markdown("<style>body {background-color: #F0F8FF;}</style>", unsafe_allow_html=True)
+
+# Footer
+st.markdown(
+    """
+    <div class="footer">
+        Developed by <b>SKB</b> | © 2025. All Rights Reserved
+    </div>
+    """,
+    unsafe_allow_html=True,
+)
+

requirements.txt

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+streamlit==1.38.0
+folium==0.19.4
+geopy==2.4.1
+Requests==2.32.3
+streamlit_folium==0.24.0