vilsonrodrigues
commited on
Commit
•
fe42288
1
Parent(s):
2aac694
add conversational chat mode
Browse files- qa/chains.py +15 -1
- qa/manager.py +15 -4
qa/chains.py
CHANGED
@@ -3,4 +3,18 @@ from typing import Callable
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def retrieval_qa(llm: Callable, retriever: Callable) -> Callable:
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from langchain.chains import RetrievalQA
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qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)
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return qa
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def retrieval_qa(llm: Callable, retriever: Callable) -> Callable:
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from langchain.chains import RetrievalQA
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qa = RetrievalQA.from_chain_type(llm=llm, chain_type="stuff", retriever=retriever)
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return qa
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def conversational_retrieval_qa(llm: Callable, retriever: Callable) -> Callable:
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from langchain.memory import ConversationBufferMemory
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from langchain.chains import ConversationalRetrievalChain
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memory = ConversationBufferMemory(
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memory_key="chat_history",
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return_messages=True
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)
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qa = ConversationalRetrievalChain.from_llm(
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llm,
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retriever=retriever,
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memory=memory
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)
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return qa
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qa/manager.py
CHANGED
@@ -1,4 +1,4 @@
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from qa.chains import retrieval_qa
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from qa.loader import youtube_doc_loader
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from qa.model import load_llm
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from qa.split import split_document
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@@ -7,7 +7,10 @@ from qa.vector_store import create_vector_store
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class YoutubeQA:
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def __init__(self):
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def load_model(self) -> None:
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self.llm = load_llm()
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@@ -18,7 +21,15 @@ class YoutubeQA:
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self.retriver = create_vector_store(docs=docs)
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def load_retriever(self) -> None:
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self.
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def run(self, question: str) -> str:
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from qa.chains import conversational_retrieval_qa, retrieval_qa
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from qa.loader import youtube_doc_loader
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from qa.model import load_llm
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from qa.split import split_document
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class YoutubeQA:
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def __init__(self):
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self.CHAT_MODE = 'normal'
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def change_chat_mode(self, mode: str) -> None:
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self.CHAT_MODE = mode
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def load_model(self) -> None:
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self.llm = load_llm()
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self.retriver = create_vector_store(docs=docs)
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def load_retriever(self) -> None:
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if self.CHAT_MODE == 'normal':
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self.retrieval_qa = retrieval_qa(llm=self.llm, retriever=self.retriver)
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elif self.CHAT_MODE == 'conversational':
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self.retrieval_qa = conversational_retrieval_qa(llm=self.llm, retriever=self.retriver)
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else:
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raise ValueError('Chat Mode not implemented')
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def run(self, question: str) -> str:
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if self.CHAT_MODE == 'normal':
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return self.retrieval_qa.run(question)
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elif self.CHAT_MODE == 'conversational':
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return self.retrieval_qa({'question': question})['answer']
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