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Update cfg.py
Browse files
cfg.py
CHANGED
@@ -4,7 +4,10 @@ from buster.formatters.documents import DocumentsFormatterJSON
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from buster.formatters.prompts import PromptFormatter
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from buster.retriever import DeepLakeRetriever, Retriever
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from buster.tokenizers import GPTTokenizer
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from buster.validators import
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buster_cfg = BusterConfig(
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retriever_cfg={
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@@ -57,16 +60,18 @@ buster_cfg = BusterConfig(
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"Now answer the following question:\n"
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),
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},
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validator_cfg={
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"unknown_response_templates": [
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"I'm sorry, but I am an AI language model trained to assist with questions related to AI. I cannot answer that question as it is not relevant to the library or its usage. Is there anything else I can assist you with?",
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],
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"unknown_threshold": 0.85,
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"embedding_model": "text-embedding-ada-002",
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"use_reranking": True,
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"invalid_question_response": "This question does not seem relevant to my current knowledge. If you think this is a mistake, you can modify the question validation prompt.",
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"check_question_prompt": """You are an chatbot answering questions about the Mila cluster, a compute cluster used by Mila students.
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Your job is to determine wether or not a question is valid, and should be answered. The question is valid if it is related to cluster usage and anything related to AI.
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A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.
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@@ -82,11 +87,24 @@ Q: What is the meaning of life?
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false
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A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.""",
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"completion_kwargs": {
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"model": "gpt-3.5-turbo",
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"stream": False,
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"temperature": 0,
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},
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},
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)
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@@ -105,7 +123,7 @@ def setup_buster(buster_cfg: BusterConfig):
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**buster_cfg.documents_answerer_cfg,
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)
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validator: Validator =
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buster: Buster = Buster(
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retriever=retriever, document_answerer=document_answerer, validator=validator
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)
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from buster.formatters.prompts import PromptFormatter
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from buster.retriever import DeepLakeRetriever, Retriever
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from buster.tokenizers import GPTTokenizer
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from buster.validators import Validator
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from buster.llm_utils import get_openai_embedding_constructor
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embedding_fn = get_openai_embedding_constructor(client_kwargs=client_kwargs)
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buster_cfg = BusterConfig(
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retriever_cfg={
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"Now answer the following question:\n"
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),
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},
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validator_cfg={
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"question_validator_cfg": {
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"invalid_question_response": "This question does not seem relevant to my current knowledge.",
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"completion_kwargs": {
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"model": "gpt-3.5-turbo",
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"stream": False,
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"temperature": 0,
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},
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"client_kwargs": client_kwargs,
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"check_question_prompt": """You are an chatbot answering questions about the Mila cluster, a compute cluster used by Mila students.
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Your job is to determine wether or not a question is valid, and should be answered. The question is valid if it is related to cluster usage and anything related to AI.
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A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.
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false
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A user will submit a question. Respond 'true' if it is valid, respond 'false' if it is invalid.""",
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},
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"answer_validator_cfg": {
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"unknown_response_templates": [
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"I'm sorry, but I am an AI language model trained to assist with questions related to AI. I cannot answer that question as it is not relevant to the library or its usage. Is there anything else I can assist you with?",
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],
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"unknown_threshold": 0.85,
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"embedding_fn": embedding_fn,
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},
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"documents_validator_cfg": {
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"completion_kwargs": {
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"model": "gpt-3.5-turbo",
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"stream": False,
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"temperature": 0,
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},
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"client_kwargs": client_kwargs,
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},
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"use_reranking": True,
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"validate_documents": False,
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},
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)
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),
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**buster_cfg.documents_answerer_cfg,
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)
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validator: Validator = Validator(**buster_cfg.validator_cfg)
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buster: Buster = Buster(
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retriever=retriever, document_answerer=document_answerer, validator=validator
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)
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