Update djezzy.py

djezzy.py

@@ -147,6 +147,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
         
      else:
         context="\n---------------------\n".join([doc for doc,_ in similar_docs[:4]]if len(similar_docs) >=3 else [doc for doc, _ in similar_docs[:1]])
+        print(context)
         system_message=" "
         prompt = f"As Djezzy's chatbot\nread each paraphrase in the context and Answer  the  question .\ndo not take into consideration the paragraphs which have no relation to the question\n if there is not a paragraph that is related to the question, respond that for this question it's best to reach out to our customer service team . They'll be able to assist you with your needs\n just give me the answer I don't want any other details \n dont' mention that you used the provided context  ###context:{context}\n  ###question: {query_text} "
         if lang=='fr':
@@ -161,6 +162,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
         #print(result[0]['generated_text'])
     else:
      context = "\n---------------------\n".join([doc for doc, _ in similar_docs2[:2]] if len(similar_docs2) >= 2 else [doc for doc, _ in similar_docs2[:1]])
+     print(context)
      system_message=" "
      prompt = f"  As Djezzy's chatbot\nread each paraphrase in the context and Answer  the  question .\ndo not take into consideration the paragraphs which have no relation to the question\n if there is not a paragraph that is related to the question, respond that for this question it's best to reach out to our customer service team . They'll be able to assist you with your needs\n just give me the answer I don't want any other details \n ###context:{context}\n  ###question: {query_text} "
      if lang=='fr':
@@ -177,6 +179,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
 
    else:
     context="\n---------------------\n".join([doc for doc,_ in similar_docs1[:1]])
+    print(context)
     system_message=" "
     prompt = f"As Djezzy's chatbot\nread 3 times  each paraphrase in the context and Answer  the  question .\ndo not take into consideration the paragraphs which have no relation to the question\n if there is not a paragraph that is related to the question, respond that for this question it's best to reach out to our customer service team . They'll be able to assist you with your needs\n just give me the answer I don't want any other details \n differentiates between each price and gives the correct answer and does not distinguish between the offers of each price\n ###context:{context}\n {query_text}"
     if lang=='fr':
@@ -202,6 +205,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
                                      )
        similar_docs.append(result[0])
      context="\n---------------------\n".join([similar_docs[i].page_content for i in range(len(similar_docs))])
+     print(context)
      system_message=" "
      prompt = f" As Djezzy's chatbot\nread each paraphrase in the context and Answer  the  question .\ndo not take into consideration the paragraphs which have no relation to the question\n if there is not a paragraph that is related to the question, respond that for this question it's best to reach out to our customer service team . They'll be able to assist you with your needs\n just give me the answer I don't want any other details \n ###context:{context}\n  ###question: {query_text} "
      if lang=='fr':