Update app.py

app.py

@@ -1,30 +1,69 @@
 import streamlit as st
+import requests
 import pandas as pd
 
-# Load dataset
-@st.cache_data
-def load_data():
-    return pd.read_csv("restaurants.csv")
+# -----------------------
+# Overpass API function
+# -----------------------
+def fetch_restaurants(city_name):
+    query = f"""
+    [out:json][timeout:25];
+    area["name"="{city_name}"]->.searchArea;
+    (
+      node["amenity"="restaurant"](area.searchArea);
+      way["amenity"="restaurant"](area.searchArea);
+      relation["amenity"="restaurant"](area.searchArea);
+    );
+    out center tags;
+    """
+    url = "https://overpass-api.de/api/interpreter"
+    response = requests.post(url, data={"data": query})
+    if response.status_code != 200:
+        return None
 
-data = load_data()
+    data = response.json()
+    restaurants = []
 
-st.set_page_config(page_title="City Guide", layout="wide")
+    for element in data["elements"]:
+        tags = element.get("tags", {})
+        name = tags.get("name", "Unnamed")
+        cuisine = tags.get("cuisine", "Not listed")
+        phone = tags.get("phone", "N/A")
+        street = tags.get("addr:street", "")
+        housenumber = tags.get("addr:housenumber", "")
+        city = tags.get("addr:city", city_name)
+        address = f"{housenumber} {street}, {city}".strip()
 
-st.title("🍽️ City Restaurant Guide")
-st.write("Find top restaurants in your city!")
+        restaurants.append({
+            "Name": name,
+            "Cuisine": cuisine,
+            "Contact": phone,
+            "Address": address
+        })
 
-city_input = st.text_input("Enter a city name (e.g., Lahore)", "").strip().title()
+    return pd.DataFrame(restaurants)
 
-if city_input:
-    results = data[data['city'] == city_input]
+# -----------------------
+# Streamlit UI
+# -----------------------
+st.set_page_config(page_title="Live City Restaurant Guide", layout="wide")
+st.title("🍽️ Live City Restaurant Guide")
+st.subheader("Enter a city to find real-time restaurant data (OpenStreetMap API)")
 
-    if results.empty:
-        st.warning("No restaurants found for this city.")
+city = st.text_input("Enter city name (e.g., Lahore, Karachi, Paris, New York):").strip().title()
+
+if city:
+    with st.spinner("🔍 Fetching data... please wait..."):
+        df = fetch_restaurants(city)
+
+    if df is None or df.empty:
+        st.warning("❌ No restaurant data found or API limit reached. Try another city.")
     else:
-        for _, row in results.iterrows():
-            with st.expander(row['name']):
-                st.markdown(f"**Address:** {row['address']}")
-                st.markdown(f"**Cuisine:** {row['cuisine']}")
-                st.markdown(f"**Contact:** {row['contact']}")
+        st.success(f"✅ Found {len(df)} restaurants in {city}")
+        for idx, row in df.iterrows():
+            with st.expander(f"{row['Name']} 🍴"):
+                st.markdown(f"**📍 Address:** {row['Address']}")
+                st.markdown(f"**🍱 Cuisine:** {row['Cuisine']}")
+                st.markdown(f"**📞 Contact:** {row['Contact']}")
 else:
-    st.info("Please enter a city name to see results.")
+    st.info("🔍 Please enter a city name to search.")