I was working on a datascience project got stuck

I used append fucntion but its not working.

here its giving an wrror
ttributeError: ‘DataFrame’ object has no attribute ‘concat’

def recommend(name, cosine_similarities = cosine_similarities): your text`
# Create a list to put top restaurants
recommend_restaurant = []

# Find the index of the hotel entered
idx = indices[indices == name].index[0]

# Find the restaurants with a similar cosine-sim value and order them from bigges number
score_series = pd.Series(cosine_similarities[idx]).sort_values(ascending=False)

# Extract top 30 restaurant indexes with a similar cosine-sim value
top30_indexes = list(score_series.iloc[0:31].index)

# Names of the top 30 restaurants
for each in top30_indexes:
    recommend_restaurant.append(list(df_percent.index)[each])

# Creating the new data set to show similar restaurants
df_new = pd.DataFrame(columns=['cuisines', 'Mean Rating', 'cost'])

# Create the top 30 similar restaurants with some of their columns
for each in recommend_restaurant:
    df_new = df_new.concat(pd.DataFrame(df_percent[['cuisines','Mean Rating', 'cost']][df_percent.index == each].sample()))

# Drop the same named restaurants and sort only the top 10 by the highest rating
df_new = df_new.drop_duplicates(subset=['cuisines','Mean Rating', 'cost'], keep=False)
df_new = df_new.sort_values(by='Mean Rating', ascending=False).head(10)

print('TOP %s RESTAURANTS LIKE %s WITH SIMILAR REVIEWS: ' % (str(len(df_new)), name))

return df_new`