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Fixed self call and made dataframe start from 1 #232

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Oct 3, 2024
Merged

Fixed self call and made dataframe start from 1 #232

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28 changes: 20 additions & 8 deletions Web_app/pages/2_Movie_Recommendation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,25 +23,35 @@ def fetch_trailer(movie_name):

def recommend(movies, input_movie):
movie_index = movies[movies['title'] == input_movie].index[0]
distances = similarity[movie_index]
movies_list = sorted(list(enumerate(distances)), reverse=True, key=lambda x: x[1])[1:6]

distances = similarity[movie_index] # type: ignore

# List to hold movie recommendations
movies_list = sorted(list(enumerate(distances)), reverse=True, key=lambda x: x[1])

# Filter out the input movie and get top 5 recommendations
recommended_movies = []
recommended_movies_link = []
recommended_movies_trailer_link = []
for x in movies_list:
movie_title = movies.iloc[x[0]].title
recommended_movies.append(movie_title)
recommended_movies_link.append(fetch_link(movie_title))
recommended_movies_trailer_link.append(fetch_trailer(movie_title))
if movie_title != input_movie: # Skip the input movie
recommended_movies.append(movie_title)
recommended_movies_link.append(fetch_link(movie_title))
recommended_movies_trailer_link.append(fetch_trailer(movie_title))
if len(recommended_movies) == 5: # Limit to top 5 recommendations
break

return recommended_movies, recommended_movies_link, recommended_movies_trailer_link


# Define paths to your files
similarity_path = r'Web_app/pages/similarity.pkl'
movies_csv_path = r'Web_app/movies.csv'
similarity_path = r'./pages/similarity.pkl'
movies_csv_path = r'./movies.csv'


# Check if the similarity file exists
if os.path.exists(similarity_path):
#print("File opened successfully")
with open(similarity_path, 'rb') as file:
similarity = pickle.load(file)
else:
Expand Down Expand Up @@ -72,6 +82,8 @@ def recommend(movies, input_movie):
}
)

data_df.index = data_df.index + 1 #Increasing index

st.data_editor(
data_df,
column_config={
Expand Down
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