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Copy pathuser_review.py
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206 lines (160 loc) · 5.42 KB
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#!/usr/bin/env python
# coding: utf-8
# In[1]:
import sys
import pandas as pd
import moviereccomendertest
import joblib
import movie_reccomendation_genre
from textblob import TextBlob
#import chatgui
def updateids():
try:
userids['userid'] = ids
userids.to_csv('user_ids.csv',index = False)
except:
id_s = pd.DataFrame(columns=['userid'])
id_s['userid'] = ids
id_s.to_csv('user_ids.csv',index = False)
# In[2]:
try:
user_data = pd.read_csv('user_data.csv')
except:
user_data = pd.DataFrame(columns=['user-id','user-name'])
# In[3]:
try:
userids = pd.read_csv('user_ids.csv')
ids = list(set(list(userids['userid'])))
except:
userids = pd.read_csv('ratings.csv')
ids = list(set(list(userids['userId'])))
import tkinter
from tkinter import *
def widget():
base = Tk()
base.title("Movie Recommender System")
base.geometry("400x500")
base.resizable(width=FALSE, height=FALSE)
return base
user_name = ''
user_id = 0
def entry(error=''):
enter = widget()
error_label = Label(enter,text="")
welcome = Label(enter, text = 'Wellcome!!',font = ('Arial',14,'bold')).place(x=150, y=100)
if error != '':
action,msg = error.split()
if msg == '!uid':
error_msg = f"{action} failed, User Id not found"
elif msg == 'usr':
error_msg = f"{action} failed, User Name exsits"
else: error_msg = "Unknown Error, Please try again"
error_label = Label(enter,text = error_msg, font = ('Arial',10,'italic')).place(x=100, y=250)
def LogIn():
enter.destroy()
Login = widget()
def Log():
logid = list(user_data['user-id'])
try:
global user_id, user_name
user_id = int(userId.get())
except:
pass
if user_id in logid:
n = logid.index(user_id)
# getting user name from user_data.csv
user_name = user_data.at[n,'user-name']
Login.destroy()
else:
#userid not found
Login.destroy()
entry(error = 'LogIn !uid')
userIdLabel = Label(Login, text = "User Id", font='Arial').place(x = 170, y = 100)
userId = StringVar() #variable for gettting user-id from user
userIdEntry = Entry(Login, textvariable=userId, width = 25).place(x = 125, y = 140)
login = Button(Login, text = 'Login',command = Log).place(x=175, y = 170)
Login.mainloop()
def SignUp():
enter.destroy()
Signup = widget()
def Sign():
usrs = list(user_data['user-name'])
global user_name, user_id
user_name = username.get()
if user_name in usrs:
#user name exists
Signup.destroy()
entry(error = 'SignUp usr')
else:
temp_data = []
uid = max(ids)+1
user_id = uid
ids.append(uid)
temp_data.append(uid)
temp_data.append(user_name)
i = user_data.shape[0]
user_data.loc[i] = temp_data
updateids()
user_data.to_csv('user_data.csv',index=False)
Signup.destroy()
usernameLabel = Label(Signup, text = "Enter User Name", font='Arial').place(x = 120, y = 100)
username = StringVar()
usernameEntry = Entry(Signup, textvariable=username, width = 25).place(x = 120, y = 140)
signup = Button(Signup, text = 'Sign In',command = Sign).place(x=165, y = 170)
Signup.mainloop()
signup = Button(enter, text= 'Sign Up',font=('verdana',12,'italic'), width = 20, bg="#32de97", command = SignUp)
signup.place(x=100, y=150)
login = Button(enter, text= 'Login',font=('verdana',12,'italic'), width = 20, bg="#32de97", command = LogIn)
login.place(x=100, y=200)
enter.mainloop()
return user_name,user_id
# In[7]:
def getreviewd(review):
l = []
l.append(review)
t = preprocess_reviews(l)
review = t[0]
rating = getrating(t[0])
cv = joblib.load('vectorizer')
test = cv.transform([review])
model_from_picle = joblib.load('review_analyser')
pred = model_from_picle.predict(test)
return rating, pred[0]
# In[8]:
import re
REPLACE_NO_SPACE = re.compile("[.;:!\'?,\"()\[\]]")
REPLACE_WITH_SPACE = re.compile("(<br\s*/><br\s*/>)|(\-)|(\/)")
def preprocess_reviews(reviews):
reviews = [REPLACE_NO_SPACE.sub("", line.lower()) for line in reviews]
reviews = [REPLACE_WITH_SPACE.sub(" ", line) for line in reviews]
return reviews
# In[9]:
def getrating(t):
blob = TextBlob(t)
old = blob.sentiment[0]
new = ((1+old)/2)*5
return new
# In[10]:
def movieIdFinder(movie):
mid = -1
mov = ''
movie_titles_genre = pd.read_csv("movies.csv")
l1 = list(movie_titles_genre['title'])
l2 = list(movie_titles_genre['movieId'])
for i in range(len(l1)):
if(movie == l1[i]):
mid = l2[i]
mov = l1[i]
break
return mid,mov
# In[11]:
def tableupdater(uid,mid,rating):
l = []
l.append(uid)
l.append(mid)
l.append(rating)
l.append('NAN')
df = pd.read_csv('ratings.csv')
ind = df.shape[0]
df.loc[ind] = l
df.to_csv('ratings.csv',index_label=False)