ExternalVendorCode/lollms
1
0
Fork 0
mirror of https://github.com/ParisNeo/lollms.git synced 2025-03-01 04:06:07 +00:00
Code Issues Actions Packages Projects Releases Wiki Activity

done

Browse Source
This commit is contained in:
Saifeddine ALOUI 2025-02-11 13:47:31 +01:00
parent 9988ecf169
commit 9456e8049f
1 changed files with 7 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

7
lollms/personality.py
View File

@ -489,6 +489,9 @@ class AIPersonality:
- If return_explanation is False, returns a boolean (True for 'yes', False for 'no'). - If return_explanation is False, returns a boolean (True for 'yes', False for 'no').
- If return_explanation is True, returns a dictionary with the answer and explanation. - If return_explanation is True, returns a dictionary with the answer and explanation.
""" """
if not callback:
callback=self.sink
prompt = f"{conditionning}\nQuestion: {question}\nContext: {context}\n" prompt = f"{conditionning}\nQuestion: {question}\nContext: {context}\n"
template = """ template = """
@ -548,6 +551,8 @@ class AIPersonality:
- If return_explanation is True, returns a JSON object with the selected choice index and an explanation. - If return_explanation is True, returns a JSON object with the selected choice index and an explanation.
- Returns {"index": -1} if no match is found among the possible answers. - Returns {"index": -1} if no match is found among the possible answers.
""" """
if not callback:
callback=self.sink
prompt = f""" prompt = f"""
{conditionning}\n {conditionning}\n
@ -607,6 +612,8 @@ class AIPersonality:
- If return_explanation is False, returns a JSON object with only the ranked order. - If return_explanation is False, returns a JSON object with only the ranked order.
- If return_explanation is True, returns a JSON object with the ranked order and explanations. - If return_explanation is True, returns a JSON object with the ranked order and explanations.
""" """
if not callback:
callback=self.sink
prompt = f""" prompt = f"""
{conditionning}\n {conditionning}\n