Update app.py

app.py

@@ -22,7 +22,7 @@ from langchain_huggingface import HuggingFaceEmbeddings # Correct new import
 # from langchain_chroma import Chroma
 from langchain_community.retrievers import BM25Retriever
 from langchain.retrievers import EnsembleRetriever, ContextualCompressionRetriever
-from langchain.retrievers.document_compressors import CrossEncoderReranker , DocumentCompressorPipeline
+from langchain.retrievers.document_compressors import CrossEncoderReranker 
 from langchain_community.cross_encoders import HuggingFaceCrossEncoder
 from langchain.prompts import PromptTemplate
 
@@ -166,7 +166,7 @@ async def run_hackrx(req: RunRequest):
     # dense_retriever = Chroma.from_documents(documents=chunks, embedding=ml_models["embedder"]).as_retriever()
     ensemble_retriever = EnsembleRetriever(retrievers=[keyword_retriever, dense_retriever], weights=[0.4, 0.6])
     
-    compression_retriever = DocumentCompressorPipeline(
+    compression_retriever = ContextualCompressionRetriever(
         base_retriever=ensemble_retriever, base_compressor=ml_models["reranker_compressor"]
     )
     # compression_retriever = ContextualCompressionRetriever(