Update app.py

app.py

@@ -61,10 +61,42 @@ def broadcast_labels():
 def tasksSearch():
     domanda=request.args.get('frase').strip()
     s=request.args.get('S').strip()
-    dati=moduli.la7_Search(s,domanda,hub_layer)
+    dati=la7_Search(s,domanda,hub_layer)
     output=dati
     response = jsonify(output)
     return response
-    
+
+def la7_Search(path,domanda,hub_layer):
+  dati=[]
+  with open ('static/dati/'+str(path)+'/db_relatori_finale_emb', 'rb') as fp:
+    word = pickle.load(fp) 
+  word_orig=np.array(word)
+  message_embeddings = hub_layer(domanda)[0].numpy()
+  ris=[]
+  for n,w in enumerate(word):
+    contesto_embeddings=np.array(w[6])
+    cosine = np.dot(message_embeddings,contesto_embeddings)/(norm(message_embeddings)*norm(contesto_embeddings))
+    ris.append(cosine)
+  ris_sort=np.argsort(ris)[::-1]
+  l=0
+  for n in ris_sort:
+    if l==0:
+      testo=str(word[n][5])
+      testo_chi=str(word[n][2])+':'+str(word[n][1])
+    else:
+      testo=testo+' '+word[n][5]
+      testo_chi=testo_chi+' --- '+str(word[n][2])+' '+str(word[n][1])
+    l=len(testo)
+    if l>800:
+      break
+
+  d={}
+  d['text']=str(testo)
+  d['chi']=str(testo_chi)
+  dati.append(d)
+  return dati
+
+
+
 if __name__ == "__main__":
     app.run(host='0.0.0.0',  port=7860)