Update djezzy.py

djezzy.py

@@ -145,7 +145,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
         system_message=" "
         prompt = f"[INST] <<SYS>>\n 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}<</SYS>>\n\n  ###question: {query_text} [/INST]"
         if lang=='fr':
-             prompt=f"[INST] <<SYS>>\n 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\n translate the answer in french and write theme ,don't mention that you translate the answer and don't write anything such the answer   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
+             prompt=f"[INST] <<SYS>>\n 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\n translate the answer in french and write theme ,don't mention that you translate the answer and don't write [frensh]<>   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
         #prompt = f" <bos><start_of_turn>user \n read 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:\n{contexts[0]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[0]}<eos>\nuser \n read 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:\n{contexts[1]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[1]}<eos>\nuser read 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:\n{context}\n###question:\n{query_text}\n###answer:\n<end_of_turn>\n <start_of_turn>model" # replace the command here with something relevant to your task
         #pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer,temperature=0.1,top_p=0.9, max_length=4000)
         #result = pipe(prompt)
@@ -159,7 +159,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
      system_message=" "
      prompt = f"[INST] <<SYS>>\n  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}<</SYS>>\n\n  ###question: {query_text} [/INST]"
      if lang=='fr':
-             prompt=f"[INST] <<SYS>>\n 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\n translate the answer in french and write theme ,don't mention that you translate the answer and don't write anything such the answer   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
+             prompt=f"[INST] <<SYS>>\n 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\n translate the answer in french and write theme ,don't mention that you translate the answer , don't write [frensh]<>   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
         
      #prompt = f" <bos><start_of_turn>user \n read 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:\n{contexts[0]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[0]}<eos>\nuser \n read 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:\n{contexts[1]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[1]}<eos>\nuser read 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:\n{context}\n###question:\n{query_text}\n###answer:\n<end_of_turn>\n <start_of_turn>model" # replace the command here with something relevant to your task
      #pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer,temperature=0.1,top_p=0.9, max_length=4000)
@@ -175,7 +175,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
     system_message=" "
     prompt = f"[INST] <<SYS>>\n 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}<</SYS>>\n\n {query_text}[/INST]"
     if lang=='fr':
-             prompt=f"[INST] <<SYS>>\n 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\n translate and give me the answer in french ,don't mention that you translate the answer and don't write anything such the answer   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
+             prompt=f"[INST] <<SYS>>\n 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\n translate and give me the answer in french ,don't mention that you translate the answer ,don't write [frensh]<>  ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
            
     #prompt = f" <bos><start_of_turn>user \n read 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:\n{contexts[0]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[0]}<eos>\nuser \n read 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:\n{contexts[1]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[1]}<eos>\nuser read 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:\n{context}\n###question:\n{query_text}\n###answer:\n<end_of_turn>\n <start_of_turn>model" # replace the command here with something relevant to your task
     #pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer,temperature=0.1,top_p=0.9, max_length=4000)
@@ -200,7 +200,7 @@ def pip(question,docs_text, docs_embeddings,mots_a_verifier,vector_db):
      system_message=" "
      prompt = f"[INST] <<SYS>>\n 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}<</SYS>>\n\n  ###question: {query_text} [/INST]"
      if lang=='fr':
-             prompt=f"[INST] <<SYS>>\n 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\n translate and give me the answer in french ,don't mention that you translate the answer and don't write anything such the answer   ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
+             prompt=f"[INST] <<SYS>>\n 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\n translate and give me the answer in french ,don't mention that you translate the answer ,don't write [frensh]<>  ###context:{context}<</SYS>>\n\n  ###question: {query_text} [/INST]" 
          
      #prompt = f" <bos><start_of_turn>user \n read 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:\n{contexts[0]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[0]}<eos>\nuser \n read 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:\n{contexts[1]}\n ###question:\nWhat are the benefits of opting for the Djezzy Legend 100 DA package? \n###answer:\n{reponses[1]}<eos>\nuser read 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:\n{context}\n###question:\n{query_text}\n###answer:\n<end_of_turn>\n <start_of_turn>model" # replace the command here with something relevant to your task
      #pipe = pipeline(task="text-generation", model=model, tokenizer=tokenizer,temperature=0.1,top_p=0.9, max_length=4000)