Merge pull request #2835 from avinashkranjan/deepsource-transform-57b9ccd3

format code with autopep8

Author: avinashkranjan

Movie recommendation system/app.py

@@ -4,18 +4,20 @@
 import pandas as pd
 
 
-
 def fetch_poster(movie_id):
-    url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(movie_id)
+    url = "https://api.themoviedb.org/3/movie/{}?api_key=8265bd1679663a7ea12ac168da84d2e8&language=en-US".format(
+        movie_id)
     data = requests.get(url)
     data = data.json()
     poster_path = data['poster_path']
     full_path = "https://image.tmdb.org/t/p/w500/" + poster_path
     return full_path
 
+
 def recommend(movie):
     index = movies[movies['title'] == movie].index[0]
-    distances = sorted(list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
+    distances = sorted(
+        list(enumerate(similarity[index])), reverse=True, key=lambda x: x[1])
     recommended_movie_names = []
     recommended_movie_posters = []
     for i in distances[1:6]:
@@ -24,13 +26,13 @@ def recommend(movie):
         recommended_movie_posters.append(fetch_poster(movie_id))
         recommended_movie_names.append(movies.iloc[i[0]].title)
 
-    return recommended_movie_names,recommended_movie_posters
+    return recommended_movie_names, recommended_movie_posters
 
 
 st.header('TMDB Movie Recommender System')
-movies = pickle.load(open('movie_list.pkl','rb'))
+movies = pickle.load(open('movie_list.pkl', 'rb'))
 movies = pd.DataFrame(movies)
-similarity = pickle.load(open('similarity.pkl','rb'))
+similarity = pickle.load(open('similarity.pkl', 'rb'))
 
 movie_list = movies['title'].values
 selected_movie = st.selectbox(
@@ -39,7 +41,8 @@ def recommend(movie):
 )
 
 if st.button('Show Recommendation'):
-    recommended_movie_names,recommended_movie_posters = recommend(selected_movie)
+    recommended_movie_names, recommended_movie_posters = recommend(
+        selected_movie)
     # for i in recommended_movie_names,recommended_movie_posters:
     #     st.write(i)
     col1, col2, col3, col4, col5 = st.columns(5)
@@ -59,5 +62,3 @@ def recommend(movie):
     with col5:
         st.text(recommended_movie_names[4])
         st.image(recommended_movie_posters[4])
-
-