`Model integrated

Signed-off-by: Yash Srivastava <yashsrivastava3005@gmail.com>

.gitignore

@@ -1,2 +1,3 @@
 .vscode
-.DS*
+**/.DS*
+**/__*/

flair_detector/reddit_flair_prediction.py

@@ -0,0 +1,63 @@
+# -*- coding: utf-8 -*-
+"""Reddit Flair Prediction.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/github/radonys/Reddit-Flair-Detector/blob/master/Reddit_Flair_Prediction.ipynb
+
+## Reddit India Flair Prediction
+
+### Install and Import Required Modules
+"""
+
+#!pip install scikit-learn praw nltk
+
+import sklearn
+import pickle
+import praw
+import re
+from bs4 import BeautifulSoup
+import nltk
+nltk.download('all')
+from nltk.corpus import stopwords
+
+"""### Variable Declarations and Utility Functions"""
+
+reddit = praw.Reddit(client_id='_4Z0SOGEI31a3Q', client_secret='fzhJE6_cjPqLN6goG4R7cJ6SK3Q', user_agent='reddit-flair-detector', username='radonys', password='Yash@1234')
+#loaded_model = pickle.load(open('finalized_model.sav', 'rb'))
+
+REPLACE_BY_SPACE_RE = re.compile('[/(){}\[\]\|@,;]')
+BAD_SYMBOLS_RE = re.compile('[^0-9a-z #+_]')
+STOPWORDS = set(stopwords.words('english'))
+
+def clean_text(text):
+
+    text = BeautifulSoup(text, "lxml").text
+    text = text.lower()
+    text = REPLACE_BY_SPACE_RE.sub(' ', text)
+    text = BAD_SYMBOLS_RE.sub('', text)
+    text = ' '.join(word for word in text.split() if word not in STOPWORDS)
+    return text
+
+"""### Detect Reddit India Post Flair"""
+
+def detect_flair(url,loaded_model):
+
+  submission = reddit.submission(url=url)
+
+  data = {}
+
+  data['title'] = submission.title
+  data['url'] = submission.url
+
+  submission.comments.replace_more(limit=None)
+  comment = ''
+  for top_level_comment in submission.comments:
+    comment = comment + ' ' + top_level_comment.body
+  data["comment"] = comment
+  data['title'] = clean_text(data['title'])
+  data['comment'] = clean_text(data['comment'])
+  data['combine'] = data['title'] + data['comment'] + data['url']
+
+  return loaded_model.predict([data['combine']])

website/flair_detector/urls.py → flair_detector/urls.py

@@ -15,7 +15,7 @@
 """
 from django.conf.urls import url
 from django.contrib import admin
-import views
+from . import views
 
 urlpatterns = [
     url(r'^$', views.index, name="index")

website/flair_detector/views.py → flair_detector/views.py

@@ -2,12 +2,19 @@
 from __future__ import unicode_literals
 
 from django.shortcuts import render, HttpResponse
-
+from django.conf import settings
+from . import reddit_flair_prediction as rdf
 # Create your views here.
 def index(request):
+
     if request.method == 'POST':
+
+        model = settings.MODEL_FILE
         val = request.POST.get('url')
-        print(val)
-        return render(request,"flair_detector/index.html",{"output":val})
+        return render(request,"flair_detector/index.html",{"output":rdf.detect_flair(val,model)[0]})
+
+    return render(request,"flair_detector/index.html")
+
+
+
 
-    return render(request,"flair_detector/index.html")

website/templates/flair_detector/index.html → templates/flair_detector/index.html

@@ -69,7 +69,7 @@ <h1>Reddit Flair Detector</h1>
   <center><button type="submit" class="btn btn-default">Submit</button></center>
 </form><br><br>
 
-{{output}}
+<center><h2>{{output}}</h2></center><br>
 </div>
 <div class="container-fluid bg-grey">
   <h5 align="right">Developed by <a href = "https://github.com/radonys">Yash Srivastava</a></h5>

website/website/settings.py → website/settings.py

@@ -11,6 +11,7 @@
 """
 
 import os
+import pickle
 
 # Build paths inside the project like this: os.path.join(BASE_DIR, ...)
 BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
@@ -119,3 +120,6 @@
 # https://docs.djangoproject.com/en/1.11/howto/static-files/
 
 STATIC_URL = '/static/'
+
+MODEL_PATH = os.path.join(BASE_DIR,'Models/finalized_model.sav')
+MODEL_FILE = pickle.load(open(MODEL_PATH,'rb'))