def predict(self, data):
#print "inside predict"
try:
if "news" in data.lower() or "latest" in data.lower():
# News query
#print "inside news"
source, query = self._query_extractor.get_news_tokens(data)
response = (_ga() if "guardian" in source else _nyt()).get_news(query)
#print "Printing response"
#print response
if len(response) <= 0:
return {"phrase": "Sorry, no relevant results were returned."}, 500
i, done = 0, internet_conn.shorten_news(response[0])
while (not done) and ((i + 1) < len(response)):
i += 1
# #print response[i]
done = shorten_news(response[i])
else:
# Knowledge query
done = get_gkg(self._query_extractor.get_knowledge_tokens(data))
#print "done is below"
#print done
ret_val = {"urls": done}
if not done:
ret_val["phrase"] = "Sorry, no valid results were returned."
return ret_val, done
except Exception as e:
return {"phrase": "Sorry, something wrong happened.", "original_exception": e.message}, False
def reg1():
print "inside app index"
text = request.form['input_text']
print text
var = shorten_news(text)
print "var"
print var
return render_template("url.html", output_summary=var)
def url_result():
print("inside url func")
url = request.form['input_text']
length = request.form['input_sentence']
# print(url, length)
# Word Freq Algorithm
wf_result = shorten_news(url, length)
# print("wf_result: ", wf_result)
wf_result = wf_result.split('.')
# LexRank Algorithm
lex_len = str(int(length) - 1)
lr_result = shorten_lex_text(url, length)
# print("lr_result: ", lr_result)
lex_sum = ""
for i in range(len(lr_result)):
lex_sum += str(lr_result[i])
lex_sum = lex_sum.split('.')
# Bert Sum Algorithm
bert_len = str(int(length) - 1)
bert_result = bertSummariserNews(url, bert_len)
# print("bert_result: ", bert_result)
bert_result = bert_result.split('.')
# TextRank Algorithm
text_rank_result = shorten_text_rank(url, length)
# print("text rank result: ", text_rank_result)
text_rank_result = text_rank_result.split('.')
return render_template("url.html",
output_summary1=wf_result,
output_summary2=lex_sum,
output_summary3=bert_result,
output_summary4=text_rank_result)