sys.path.append('/Users/oliverfengpet/Program/nlp/python_parser/no_index/libsvm-3.12/python/') sys.path.append('/Users/oliverfengpet/Dropbox/TwitterAffect/liblinear-1.93/python') from svmutil import * from liblinearutil import * # define (url -> python) mapping in urls.py # (r'^$', index.print_welcome) # http://127.0.0.1:8000/ happy_model = svm_load_model('libsvm_SVC_stem_emoticons_Happy.model') sad_model = svm_load_model('libsvm_SVC_stem_emoticons_Sad.model') ashamed_model = svm_load_model('libsvm_SVC_stem_emoticons_Ashamed.model') angry_model = svm_load_model('libsvm_SVC_stem_emoticons_Angry.model') afraid_model = svm_load_model('libsvm_SVC_stem_emoticons_Afraid.model') model = load_model('libsvm_SVC_Mix.model') bi = Mix_IG.load_bi("IG_Bigram.txt") fs = Mix_IG.create_feature_space_IG(bi) def print_welcome(request): html = "<html>" + get_style() + \ "<body><div id=\"wrapper\">" \ "CIS630 Project 2 - Twitter Affect" + \ "<br>Tao Feng Shang CC le ya!" + \ "<br><a href=\"crawler\">See Random Tweets Classification</a>" \ "</div></body></html>" return HttpResponse(html) # (r'^crawler/$', index.print_crawling) # http://127.0.0.1:8000/crawler/ def print_crawling(request):