quang-vn26 / LightFM-recommender-system

Building a recommender system using LightFM

Tasks:

• Prepare data ok
• Built model ok
• evaluate model need more thing
• built web with model

making web form:

• form request
• get data from form
• return predict result

usefull:

git commit -m "first commit"
git branch -M main
git remote add origin https://github.com/quang-vn26/demo1.git
git push -u origin main

work with form:

from flask import request
var1 = request.form["datetime"]

save and read to csv file

df_questions_p.to_csv("demo.csv")
df_questions_p = pd.read_csv('df_questions_p.csv')

check the file and delete in python

def create_file_csv(my_var):
    my_var_name = [ k for k,v in locals().iteritems() if v == my_var][0]
    my_var_name+=".csv"
    if os.path.exists(my_var_name):
        os.remove(my_var_name)
    else:
        my_var.to_csv(my_var_name) 

load file the CSV to a html

big file in Github

git lfs install
git lfs track "*.csv"
git add .gitattributes

using pickle in python

if os.path.exists("weights.pkl"):
    os.remove("weights.pkl")
else:
    with open('weights.pkl','wb') as file:            
        pickle.dump(weights,file)

model = pickle.load(open("weights.pkl","rb"))