Neel kamal sahu commited on
Commit
6ee205a
·
1 Parent(s): 8ebbc4d

TMDB's recommendation added

Browse files
Files changed (1) hide show
  1. app.py +40 -2
app.py CHANGED
@@ -10,6 +10,14 @@ def fetch_poster(movie_id):
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  full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
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  return full_path
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  def recommend(movie):
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  index = movies[movies['title_x'] == movie].index[0]
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  distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
@@ -23,7 +31,17 @@ def recommend(movie):
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  return recommended_movie_names,recommended_movie_posters
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-
 
 
 
 
 
 
 
 
 
 
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  st.header(r"My Recommendation VS TMDB's Recommendation")
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  movies = pickle.load(open('movie_list.pkl','rb'))
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  similarity = pickle.load(open('similarity.pkl','rb'))
@@ -34,7 +52,7 @@ selected_movie = st.selectbox(
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  movie_list
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  )
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- if st.button('Show Recommendation'):
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  recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
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  col1, col2, col3, col4, col5 = st.columns(5)
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  with col1:
@@ -53,3 +71,23 @@ if st.button('Show Recommendation'):
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  with col5:
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  st.text(recommended_movie_names[4])
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  st.image(recommended_movie_posters[4])
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
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  return full_path
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+ def fetch_poster_tmdb(movie_id):
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+ url = "https://api.themoviedb.org/3/movie/{}/recommendations?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US&page=1".format(movie_id[0])
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+ data = requests.get(url)
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+ data = data.json()
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+ full_path = data['results']
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+
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+ return full_path
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+
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  def recommend(movie):
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  index = movies[movies['title_x'] == movie].index[0]
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  distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
 
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  return recommended_movie_names,recommended_movie_posters
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+ def recommend_tmdb(movie):
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+ recommended_movie_names = []
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+ recommended_movie_posters = []
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+ # fetch the movie poster
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+ movie_id = movies[movies.title_x==movie].id.values
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+ data = fetch_poster_tmdb(movie_id)
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+ for i in range(5):
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+ recommended_movie_posters.append("https://image.tmdb.org/t/p/w500/"+fetch_poster_tmdb(movie_id)[i]['poster_path'])
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+ recommended_movie_names.append(fetch_poster_tmdb(movie_id)[i]['title'])
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+ return recommended_movie_names,recommended_movie_posters
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+
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  st.header(r"My Recommendation VS TMDB's Recommendation")
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  movies = pickle.load(open('movie_list.pkl','rb'))
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  similarity = pickle.load(open('similarity.pkl','rb'))
 
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  movie_list
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  )
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+ if st.button('Show My Recommendation'):
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  recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
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  col1, col2, col3, col4, col5 = st.columns(5)
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  with col1:
 
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  with col5:
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  st.text(recommended_movie_names[4])
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  st.image(recommended_movie_posters[4])
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+
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+ if st.button("Show TMDB's Recommendation"):
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+ recommended_movie_names,recommended_movie_posters = recommend_tmdb(selected_movie)
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+ col1, col2, col3, col4, col5 = st.columns(5)
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+ with col1:
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+ st.text(recommended_movie_names[0])
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+ st.image(recommended_movie_posters[0])
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+ with col2:
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+ st.text(recommended_movie_names[1])
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+ st.image(recommended_movie_posters[1])
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+
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+ with col3:
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+ st.text(recommended_movie_names[2])
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+ st.image(recommended_movie_posters[2])
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+ with col4:
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+ st.text(recommended_movie_names[3])
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+ st.image(recommended_movie_posters[3])
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+ with col5:
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+ st.text(recommended_movie_names[4])
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+ st.image(recommended_movie_posters[4])