Update app.py

app.py

@@ -3,7 +3,6 @@ import requests
 import chromadb
 from sentence_transformers import SentenceTransformer
 import json
-import googlemaps
 
 # Initialize embedding model
 model = SentenceTransformer("sentence-transformers/all-MiniLM-L6-v2")
@@ -13,10 +12,6 @@ DB_PATH = "./recipe_db"
 client = chromadb.PersistentClient(path=DB_PATH)
 collection = client.get_or_create_collection("recipes")
 
-# Google Places API Key (Replace with your key)
-GOOGLE_API_KEY = "YOUR_GOOGLE_PLACES_API_KEY"
-gmaps = googlemaps.Client(key=GOOGLE_API_KEY)
-
 # Predefined Recipe Categories
 recipe_categories = {
     "Desi": ["Nihari", "Karahi", "Biryani", "Haleem", "Saag"],
@@ -44,18 +39,28 @@ if not collection.count():
         )
     print("Sample data added to ChromaDB")
 
-# Function to fetch restaurant data using Google Places API
-def get_restaurants(city, recipe):
-    query = f"{recipe} restaurant in {city}"
-    places_result = gmaps.places(query=query, type="restaurant")
+
+# Function to fetch restaurant data using Overpass API
+def get_restaurants(city):
+    overpass_url = "http://overpass-api.de/api/interpreter"
+    query = f"""
+    [out:json];
+    area[name="{city}"]->.searchArea;
+    node["amenity"="restaurant"](area.searchArea);
+    out;
+    """
+    response = requests.get(overpass_url, params={'data': query})
     
-    restaurant_list = []
-    if "results" in places_result:
-        for place in places_result["results"][:5]:  # Get top 5 restaurants
-            name = place.get("name", "Unknown Restaurant")
-            address = place.get("vicinity", "Unknown Address")
-            restaurant_list.append(f"{name} - {address}")
-    return restaurant_list
+    if response.status_code == 200:
+        data = response.json()
+        restaurants = []
+        for element in data.get("elements", []):
+            name = element.get("tags", {}).get("name", "Unknown Restaurant")
+            restaurants.append(name)
+        return restaurants[:5]  # Return top 5 results
+    else:
+        return ["No restaurant data found."]
+
 
 # Streamlit UI
 st.title("Pakistani Famous Recipes Finder 🍛")
@@ -86,7 +91,7 @@ if st.button("Find Recipes & Restaurants"):
                         st.write(f"Price: {recipe['price']} PKR")
 
                 # Fetch restaurant data
-                restaurants = get_restaurants(city, query)
+                restaurants = get_restaurants(city)
                 if restaurants:
                     st.subheader("Available at These Restaurants:")
                     for r in restaurants:
@@ -111,11 +116,10 @@ if st.button("Find Recipes & Restaurants"):
                         st.write(f"Price: {recipe['price']} PKR")
 
             # Fetch restaurant data for multiple recipes
-            for recipe_name in recipe_categories[recipe_type]:
-                restaurants = get_restaurants(city, recipe_name)
-                if restaurants:
-                    st.subheader(f"Where to find {recipe_name}:")
-                    for r in restaurants:
-                        st.write(f"- {r}")
+            restaurants = get_restaurants(city)
+            if restaurants:
+                st.subheader("Popular Restaurants in This City:")
+                for r in restaurants:
+                    st.write(f"- {r}")
     else:
         st.warning("Please enter a city name.")