diff options
Diffstat (limited to 'server.py')
| -rwxr-xr-x | server.py | 37 |
1 files changed, 21 insertions, 16 deletions
diff --git a/server.py b/server.py index f16d930..f36a4b3 100755 --- a/server.py +++ b/server.py @@ -541,11 +541,14 @@ def sentences(): edge=request.args.get('edgeID') (tf_name, gene0, cat0)=edge.split("|") out3="" - out5_pl="" - out5_sn="" +# out5_pl="" +# out5_sn="" out_pos = "" out_neg = "" num_abstract = 0 + stress_systemic = "<br><br><br><hr>"+"<b>Sentence(s) describing celluar stress (classified using a deep learning model):</b>" + stress_cellular = "<b>Sentence(s) describing systemic stress (classified using a deep learning model):</b>" + stress_sents={} with open(tf_name, "r") as df: all_sents=df.read() for sent in all_sents.split("\n"): @@ -555,29 +558,31 @@ def sentences(): out3+= "<li> "+ text + " <a href=\"https://www.ncbi.nlm.nih.gov/pubmed/?term=" + pmid +"\" target=_new>PMID:"+pmid+"<br></a>" num_abstract += 1 if(pmid+cat0 not in pmid_list): - pmid_list.append(pmid+cat0) + pmid_list.append(pmid+cat0) if(cat0=='stress'): - out5_pl = 'These are analyzed by deep learning to seperate the relevant sentences.' - out5_sn = 'This is analyzed by deep learning to see whether it is relevant or not.' +# out5_pl = 'These are analyzed by deep learning to seperate the relevant sentences.' +# out5_sn = 'This is analyzed by deep learning to see whether it is relevant or not.' out_pred = "<li> "+ text + " <a href=\"https://www.ncbi.nlm.nih.gov/pubmed/?term=" + pmid +"\" target=_new>PMID:"+pmid+"<br></a>" + #should we add the html part after the predict_sent function? out4 = predict_sent(out_pred) - if(out4 == 'pos'): - out_rel = "<b>Relevant sentences:</b>" - out_pos += out_pred - else: - out_irrel = "<br><br><br><hr>"+"<b>Irrelevant sentences:</b>" - out_neg += out_pred + stress_sents[out4] +=stress_sents[out4] +# stress_sents["pos"]+=stress_sents["pos"] +# stress_sents["neg"]+=stress_sents["neg"] +# if(out4 == 'pos'): +# out_pos += out_pred +# else: +# out_neg += out_pred out1="<h3>"+gene0 + " and " + cat0 + "</h3>\n" if len(pmid_list)>1: out2 = str(num_abstract) + ' sentences in ' + str(len(pmid_list)) + ' studies' + "<br>" - if(out5_pl!=""): - out2 += out5_pl +# if(out5_pl!=""): +# out2 += out5_pl out2 += "<hr>\n" else: out2 = str(num_abstract) + ' sentence in ' + str(len(pmid_list)) + ' study' "<br>" - if(out5_sn!=""): - out2 += out5_sn - out2 += "<hr>\n" +# if(out5_sn!=""): +# out2 += out5_sn + out2 += "<hr>\n" if(out_neg == "" and out_pos == ""): out= out1+ out2 +out3 elif(out_pos != "" and out_neg!=""): |