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Browse files- app.py +39 -0
- movies.json +0 -0
- requirements.txt +2 -0
app.py
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import streamlit as st
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import pandas as pd
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from scipy import spatial
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import json
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# JSON dosyasını yükleme
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with open('movies.json', 'r') as file:
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movie_dict = json.load(file)
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# Mesafe hesaplama fonksiyonu
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def compute_distance(a,b):
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genre_distance=spatial.distance.cosine(a[3],b[3])
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popularity_distance=abs(a[2]-b[2])
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return genre_distance+popularity_distance
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# Uygulama başlığı
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st.title("Film Benzerliği Hesaplama")
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# Kullanıcıdan film adı alma
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input_movie = st.selectbox("Bir film seçin:", list(movie_dict.keys()))
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# "Hesapla" butonu
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if st.button("Benzer Filmleri Bul"):
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# Girilen film ile diğer filmler arasındaki mesafeleri hesaplamak
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input_movie_data = movie_dict[input_movie]
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# Mesafeleri hesaplama
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distances = {}
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for movie, data in movie_dict.items():
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if movie != input_movie:
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distances[movie] = compute_distance(input_movie_data, data)
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# En benzer 5 filmi bulma
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similar_movies = sorted(distances.items(), key=lambda x: x[1])[:5]
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# Sonuçları gösterme
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st.subheader("En benzer 5 film:")
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for movie, distance in similar_movies:
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st.write(f"{movie} - Mesafe: {distance:.2f}")
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movies.json
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The diff for this file is too large to render.
See raw diff
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requirements.txt
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streamlit
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scikit-learn
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