Update djezzy.py

djezzy.py

@@ -102,7 +102,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
 
   # Question à analyser
  question = query_text
-
+ print(question)
   # Convertir la question en une liste de mots
  mots_question = question.lower().split()
  bi_grammes = [' '.join([mots_question[i], mots_question[i+1]]) for i in range(len(mots_question)-1)]
@@ -120,6 +120,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
   if not mots_trouves:
 
    similarities = [cosine_similarity(doc.reshape(1,-1), query_embedding_array.reshape(1,-1)) for doc in docs_embeddings]
+   print(similarities)
    sorted_docs = sorted(zip(docs_text, docs_embeddings, similarities), key=lambda x: x[2], reverse=True)
    similar_docs1 = [(doc,sim) for doc, _, sim in sorted_docs if sim > 0.72]
    if  not similar_docs1: