fact-checking-rocks / app_utils /backend_utils.py
anakin87
various improvements
4c2a969
raw
history blame
2.05 kB
import shutil
from haystack.document_stores import FAISSDocumentStore
from haystack.nodes import EmbeddingRetriever
from haystack.pipelines import Pipeline
import streamlit as st
from app_utils.entailment_checker import EntailmentChecker
from app_utils.config import STATEMENTS_PATH, INDEX_DIR, RETRIEVER_MODEL, RETRIEVER_MODEL_FORMAT, NLI_MODEL
# cached to make index and models load only at start
@st.cache(hash_funcs={"builtins.SwigPyObject": lambda _: None}, allow_output_mutation=True)
def start_haystack():
"""
load document store, retriever, reader and create pipeline
"""
shutil.copy(f'{INDEX_DIR}/faiss_document_store.db', '.')
document_store = FAISSDocumentStore(
faiss_index_path=f'{INDEX_DIR}/my_faiss_index.faiss',
faiss_config_path=f'{INDEX_DIR}/my_faiss_index.json')
print(f'Index size: {document_store.get_document_count()}')
retriever = EmbeddingRetriever(
document_store=document_store,
embedding_model=RETRIEVER_MODEL,
model_format=RETRIEVER_MODEL_FORMAT
)
entailment_checker = EntailmentChecker(model_name_or_path=NLI_MODEL,
use_gpu=False)
pipe = Pipeline()
pipe.add_node(component=retriever, name="retriever", inputs=["Query"])
pipe.add_node(component=entailment_checker, name="ec", inputs=["retriever"])
return pipe
pipe = start_haystack()
# the pipeline is not included as parameter of the following function,
# because it is difficult to cache
@st.cache(persist=True, allow_output_mutation=True)
def query(question: str, retriever_top_k: int = 5):
"""Run query and get answers"""
params = {"retriever": {"top_k": retriever_top_k}}
results = pipe.run(question, params=params)
print(results)
return results
@st.cache()
def load_questions():
"""Load statements from file"""
with open(STATEMENTS_PATH) as fin:
questions = [line.strip() for line in fin.readlines()
if not line.startswith('#')]
return questions