init commit

app.py

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+import streamlit as st
+import pickle
+
+def load_model(filename):
+    with open(filename, 'rb') as f:
+        return pickle.load(f)
+
+# Load the model
+loaded_model = load_model('recommendation_model.pkl')
+
+def get_recommendations(input_categories):
+    tfidf_vectorizer = loaded_model['tfidf_vectorizer']
+    knn_classifier = loaded_model['knn_classifier']
+    df = loaded_model['df']
+
+    all_predictions = []
+
+    for category in input_categories:
+        category_tfidf = tfidf_vectorizer.transform([category])
+        top_20_indices = knn_classifier.kneighbors(category_tfidf, n_neighbors=20, return_distance=False)[0]
+        top_20_places = df.iloc[top_20_indices]
+        best_2_places = top_20_places.sort_values('normalized_score', ascending=False).head(2)
+        
+        all_predictions.append({
+            'category': category,
+            'predictions': best_2_places[['name', 'rating', 'user_ratings_total', 'normalized_score']].to_dict('records')
+        })
+
+    return all_predictions
+
+# Streamlit app
+st.title("Place Recommendation System")
+
+st.write("Enter the categories you are interested in (comma-separated):")
+input_categories = st.text_input("Categories", "historical monuments, history tours, wildlife")
+
+if st.button("Get Recommendations"):
+    categories_list = [category.strip() for category in input_categories.split(',')]
+    recommendations = get_recommendations(categories_list)
+
+    for prediction in recommendations:
+        st.subheader(f"Top 2 recommended places for '{prediction['category']}':")
+        for place in prediction['predictions']:
+            st.write(f"**Name:** {place['name']}")
+            st.write(f"**Rating:** {place['rating']:.2f}")
+            st.write(f"**Review Count:** {place['user_ratings_total']}")
+            st.write(f"**Score:** {place['normalized_score']:.4f}")
+            st.write("")  # Add a blank line for better spacing

recommendation_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4c7cdc3d1a96ec36fc44eb3b0c863e07ff11df95364e302f43710c289d76ee40
+size 447420

requirements.txt

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+streamlit
+pickle