Spaces:
Sleeping
Sleeping
AkshayKatukojwala
commited on
Commit
•
de42780
1
Parent(s):
286a27c
Upload views.py
Browse files
views.py
ADDED
@@ -0,0 +1,392 @@
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1 |
+
import numpy as np
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2 |
+
from django.shortcuts import render, redirect
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3 |
+
from django.db.models import Count
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4 |
+
from .models import *
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5 |
+
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6 |
+
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7 |
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import matplotlib.pyplot as plt
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8 |
+
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9 |
+
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10 |
+
# Create your views here.
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11 |
+
def home(request):
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12 |
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return render(request, 'index.html')
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13 |
+
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14 |
+
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15 |
+
def alogin(request):
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16 |
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return render(request, 'admin.html')
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17 |
+
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18 |
+
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19 |
+
def ulogin(request):
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20 |
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return render(request, 'user.html')
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21 |
+
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22 |
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23 |
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def usrreg(request):
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24 |
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return render(request, 'signup.html')
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25 |
+
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26 |
+
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27 |
+
def signupaction(request):
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28 |
+
email = request.POST['mail']
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29 |
+
pwd = request.POST['pwd']
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30 |
+
zip = request.POST['zip']
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31 |
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name = request.POST['name']
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32 |
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age = request.POST['age']
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33 |
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gen = request.POST['gen']
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34 |
+
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35 |
+
d1 = user.objects.filter(email__exact=email).count()
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36 |
+
if d1 > 0:
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37 |
+
return render(request, 'signup.html', {'msg': "Email ALSTMeady Registered"})
|
38 |
+
else:
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39 |
+
d = user(name=name, email=email, pwd=pwd, zip=zip, gender=gen, age=age)
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40 |
+
d.save()
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41 |
+
return render(request, 'signup.html', {'msg': "Register Success, You can Login.."})
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42 |
+
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43 |
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return render(request, 'signup.html', {'msg': "Register Success, You can Login.."})
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44 |
+
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45 |
+
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46 |
+
def uloginaction(request):
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47 |
+
if request.method == 'POST':
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48 |
+
uid = request.POST['mail']
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49 |
+
pwd = request.POST['pwd']
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50 |
+
d = user.objects.filter(email__exact=uid).filter(pwd__exact=pwd).count()
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51 |
+
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52 |
+
if d > 0:
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53 |
+
d = user.objects.filter(email__exact=uid)
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54 |
+
request.session['email'] = uid
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55 |
+
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56 |
+
request.session['name'] = d[0].name
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57 |
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return render(request, 'user_home.html', {'data': d[0]})
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58 |
+
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59 |
+
else:
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60 |
+
return render(request, 'user.html', {'msg': "Login Fail"})
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61 |
+
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62 |
+
else:
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63 |
+
return render(request, 'user.html')
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64 |
+
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65 |
+
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66 |
+
def adminlogindef(request):
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67 |
+
if request.method == 'POST':
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68 |
+
uid = request.POST['uid']
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69 |
+
pwd = request.POST['pwd']
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70 |
+
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71 |
+
if uid == 'admin' and pwd == 'admin':
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72 |
+
request.session['adminid'] = 'admin'
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73 |
+
return render(request, 'admin_home.html')
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74 |
+
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75 |
+
else:
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76 |
+
return render(request, 'admin.html', {'msg': "Login Fail"})
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77 |
+
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78 |
+
else:
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79 |
+
return render(request, 'admin.html')
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80 |
+
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81 |
+
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82 |
+
def uhome(request):
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83 |
+
if "email" in request.session:
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84 |
+
uid = request.session["email"]
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85 |
+
d = user.objects.filter(email__exact=uid)
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86 |
+
return render(request, 'user_home.html', {'data': d[0]})
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87 |
+
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88 |
+
else:
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89 |
+
return render(request, 'user.html')
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90 |
+
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91 |
+
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92 |
+
def ulogout(request):
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93 |
+
try:
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94 |
+
del request.session['email']
|
95 |
+
except:
|
96 |
+
pass
|
97 |
+
return render(request, 'user.html')
|
98 |
+
|
99 |
+
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100 |
+
def adminhome(request):
|
101 |
+
if "adminid" in request.session:
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102 |
+
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103 |
+
return render(request, 'admin_home.html')
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104 |
+
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105 |
+
else:
|
106 |
+
return render(request, 'user.html')
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107 |
+
|
108 |
+
|
109 |
+
def trainingpage(request):
|
110 |
+
return render(request, 'trainingpage.html')
|
111 |
+
|
112 |
+
|
113 |
+
def cnn(request):
|
114 |
+
from .Train_CNN import dl_evaluation_process
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115 |
+
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116 |
+
|
117 |
+
|
118 |
+
acc, precsn, recall, f1score=dl_evaluation_process()
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119 |
+
d=accuracysc.objects.filter(algo='CNN')
|
120 |
+
d.delete()
|
121 |
+
d=accuracysc(algo='CNN', accuracyv=acc, prec=precsn, recall=recall, f1sc=f1score)
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122 |
+
d.save()
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123 |
+
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124 |
+
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125 |
+
return render(request, 'trainingpage.html', {'msg': "CNN Classifier Training & Testing Completed Successfully"})
|
126 |
+
|
127 |
+
|
128 |
+
def ann(request):
|
129 |
+
from .Train_ANN import dl_evaluation_process
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130 |
+
|
131 |
+
|
132 |
+
acc, precsn, recall, f1score=dl_evaluation_process()
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133 |
+
d=accuracysc.objects.filter(algo='ANN')
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134 |
+
d.delete()
|
135 |
+
d=accuracysc(algo='ANN', accuracyv=acc, prec=precsn, recall=recall, f1sc=f1score)
|
136 |
+
d.save()
|
137 |
+
|
138 |
+
|
139 |
+
return render(request, 'trainingpage.html', {'msg': "ANN Classifier Training & Testing Completed Successfully"})
|
140 |
+
|
141 |
+
|
142 |
+
def lstm(request):
|
143 |
+
from .Train_LSTM import dl_evaluation_process
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144 |
+
|
145 |
+
|
146 |
+
acc, precsn, recall, f1score=dl_evaluation_process()
|
147 |
+
d=accuracysc.objects.filter(algo='LSTM')
|
148 |
+
d.delete()
|
149 |
+
d=accuracysc(algo='LSTM', accuracyv=acc, prec=precsn, recall=recall, f1sc=f1score)
|
150 |
+
d.save()
|
151 |
+
|
152 |
+
|
153 |
+
return render(request, 'trainingpage.html', {'msg': "LSTM Classifier Training & Testing Completed Successfully"})
|
154 |
+
|
155 |
+
|
156 |
+
|
157 |
+
|
158 |
+
def accuracyview(request):
|
159 |
+
if "adminid" in request.session:
|
160 |
+
d = accuracysc.objects.all()
|
161 |
+
accuracygraph()
|
162 |
+
precgraph()
|
163 |
+
recallgraph()
|
164 |
+
f1graph()
|
165 |
+
|
166 |
+
return render(request, 'viewaccuracy.html', {'data': d})
|
167 |
+
else:
|
168 |
+
return render(request, 'admin.html')
|
169 |
+
|
170 |
+
|
171 |
+
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172 |
+
|
173 |
+
def viewgraphs(request):
|
174 |
+
if "adminid" in request.session:
|
175 |
+
accuracygraph()
|
176 |
+
precgraph()
|
177 |
+
recallgraph()
|
178 |
+
f1graph()
|
179 |
+
|
180 |
+
|
181 |
+
return render(request, 'viewgraph.html')
|
182 |
+
else:
|
183 |
+
return render(request, 'admin.html')
|
184 |
+
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185 |
+
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186 |
+
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187 |
+
|
188 |
+
|
189 |
+
|
190 |
+
|
191 |
+
|
192 |
+
def accuracygraph():
|
193 |
+
if True:
|
194 |
+
data = {}
|
195 |
+
row = accuracysc.objects.filter(algo='CNN')
|
196 |
+
rlist = []
|
197 |
+
for r in row:
|
198 |
+
rlist.append(r.accuracyv)
|
199 |
+
data['CNN']=rlist
|
200 |
+
|
201 |
+
|
202 |
+
|
203 |
+
row = accuracysc.objects.filter(algo='ANN')
|
204 |
+
rlist = []
|
205 |
+
for r in row:
|
206 |
+
rlist.append(r.accuracyv)
|
207 |
+
data['ANN']=rlist
|
208 |
+
|
209 |
+
|
210 |
+
|
211 |
+
row = accuracysc.objects.filter(algo='LSTM')
|
212 |
+
rlist = []
|
213 |
+
for r in row:
|
214 |
+
rlist.append(r.accuracyv)
|
215 |
+
data['LSTM']=rlist
|
216 |
+
|
217 |
+
|
218 |
+
from .bargraph import bargraph
|
219 |
+
bargraph.view(data,'acc.jpg', 'Accuracy')
|
220 |
+
|
221 |
+
|
222 |
+
def precgraph():
|
223 |
+
if True:
|
224 |
+
data = {}
|
225 |
+
row = accuracysc.objects.filter(algo='CNN')
|
226 |
+
rlist = []
|
227 |
+
for r in row:
|
228 |
+
rlist.append(r.prec)
|
229 |
+
data['CNN']=rlist
|
230 |
+
|
231 |
+
|
232 |
+
|
233 |
+
row = accuracysc.objects.filter(algo='LSTM')
|
234 |
+
rlist = []
|
235 |
+
for r in row:
|
236 |
+
rlist.append(r.prec)
|
237 |
+
data['LSTM']=rlist
|
238 |
+
|
239 |
+
|
240 |
+
|
241 |
+
row = accuracysc.objects.filter(algo='ANN')
|
242 |
+
rlist = []
|
243 |
+
for r in row:
|
244 |
+
rlist.append(r.prec)
|
245 |
+
data['ANN']=rlist
|
246 |
+
|
247 |
+
|
248 |
+
from .bargraph import bargraph
|
249 |
+
bargraph.view(data,'prec.jpg', 'Precision')
|
250 |
+
|
251 |
+
|
252 |
+
def recallgraph():
|
253 |
+
if True:
|
254 |
+
data = {}
|
255 |
+
row = accuracysc.objects.filter(algo='CNN')
|
256 |
+
rlist = []
|
257 |
+
for r in row:
|
258 |
+
rlist.append(r.recall)
|
259 |
+
data['CNN']=rlist
|
260 |
+
|
261 |
+
|
262 |
+
|
263 |
+
row = accuracysc.objects.filter(algo='LSTM')
|
264 |
+
rlist = []
|
265 |
+
for r in row:
|
266 |
+
rlist.append(r.recall)
|
267 |
+
data['LSTM']=rlist
|
268 |
+
|
269 |
+
|
270 |
+
|
271 |
+
row = accuracysc.objects.filter(algo='ANN')
|
272 |
+
rlist = []
|
273 |
+
for r in row:
|
274 |
+
rlist.append(r.recall)
|
275 |
+
data['ANN']=rlist
|
276 |
+
|
277 |
+
from .bargraph import bargraph
|
278 |
+
bargraph.view(data,'recall.jpg', 'Recall')
|
279 |
+
|
280 |
+
|
281 |
+
|
282 |
+
def f1graph():
|
283 |
+
if True:
|
284 |
+
data = {}
|
285 |
+
row = accuracysc.objects.filter(algo='CNN')
|
286 |
+
rlist = []
|
287 |
+
for r in row:
|
288 |
+
rlist.append(r.f1sc)
|
289 |
+
data['CNN']=rlist
|
290 |
+
|
291 |
+
|
292 |
+
|
293 |
+
row = accuracysc.objects.filter(algo='LSTM')
|
294 |
+
rlist = []
|
295 |
+
for r in row:
|
296 |
+
rlist.append(r.f1sc)
|
297 |
+
data['LSTM']=rlist
|
298 |
+
|
299 |
+
|
300 |
+
|
301 |
+
row = accuracysc.objects.filter(algo='ANN')
|
302 |
+
rlist = []
|
303 |
+
for r in row:
|
304 |
+
rlist.append(r.f1sc)
|
305 |
+
data['ANN']=rlist
|
306 |
+
|
307 |
+
|
308 |
+
from .bargraph import bargraph
|
309 |
+
bargraph.view(data,'f1sc.jpg', 'F1 Score')
|
310 |
+
|
311 |
+
|
312 |
+
def search(request):
|
313 |
+
import sys,tweepy,re
|
314 |
+
|
315 |
+
|
316 |
+
if request.method=='POST':
|
317 |
+
keys=request.POST['keys']
|
318 |
+
from .TweetSearch import TweetSearch
|
319 |
+
l=TweetSearch.search(keys)
|
320 |
+
print(l,'><<<<<<<<<<<<<<<<<<<<<<<<')
|
321 |
+
ii=1
|
322 |
+
|
323 |
+
|
324 |
+
from .LSTM import get_predictions
|
325 |
+
res=get_predictions(l)
|
326 |
+
|
327 |
+
|
328 |
+
print("res=",res)
|
329 |
+
|
330 |
+
t=tweets.objects.all()
|
331 |
+
t.delete()
|
332 |
+
|
333 |
+
|
334 |
+
|
335 |
+
print(l)
|
336 |
+
for l1 in range(len(res)):
|
337 |
+
try:
|
338 |
+
r=tweets(sno=ii,tweet=l[l1], sentiment=res[l1])
|
339 |
+
r.save()
|
340 |
+
except:
|
341 |
+
pass
|
342 |
+
ii=ii+1
|
343 |
+
|
344 |
+
data=tweets.objects.all()
|
345 |
+
print("data=",data)
|
346 |
+
|
347 |
+
|
348 |
+
return render(request, 'tweetsresults.html',{'data':data})
|
349 |
+
|
350 |
+
|
351 |
+
else:
|
352 |
+
return render(request, 'search.html')
|
353 |
+
|
354 |
+
def sentiresults(request):
|
355 |
+
from .Freq import CountFrequency
|
356 |
+
from .Graphs import viewg
|
357 |
+
|
358 |
+
senti=[]
|
359 |
+
|
360 |
+
|
361 |
+
if "email" in request.session:
|
362 |
+
data=tweets.objects.all()
|
363 |
+
for d1 in data:
|
364 |
+
senti.append(d1.sentiment)
|
365 |
+
|
366 |
+
d=CountFrequency(senti)
|
367 |
+
viewg(d)
|
368 |
+
|
369 |
+
|
370 |
+
|
371 |
+
return render(request, 'tweetsresults2.html',{'data':data})
|
372 |
+
|
373 |
+
|
374 |
+
else:
|
375 |
+
return render(request, 'user.html')
|
376 |
+
|
377 |
+
|
378 |
+
|
379 |
+
def viewgraph2(request):
|
380 |
+
if "email" in request.session:
|
381 |
+
|
382 |
+
from PIL import Image
|
383 |
+
|
384 |
+
im = Image.open(r"g1.jpg")
|
385 |
+
|
386 |
+
im.show()
|
387 |
+
|
388 |
+
|
389 |
+
|
390 |
+
return redirect('sentiresults')
|
391 |
+
|
392 |
+
|