Update app.py

app.py

@@ -51,10 +51,10 @@ retriever=docsearch.as_retriever()
 cohereLLM=Cohere(model='command')
 # cohereLLM=OpenAI()
 # Initialize the CohereRerank compressor and the ContextualCompressionRetriever
-compressor = CohereRerank(user_agent='MyTool/1.0 (Linux; x86_64)')
-compression_retriever = ContextualCompressionRetriever(
-    base_compressor=compressor, base_retriever=retriever
-)
+# compressor = CohereRerank(user_agent='MyTool/1.0 (Linux; x86_64)')
+# compression_retriever = ContextualCompressionRetriever(
+#     base_compressor=compressor, base_retriever=retriever
+# )
 
 # delete this to return to production state
 memory=ConversationSummaryMemory(
@@ -64,7 +64,7 @@ question_generator = LLMChain(llm=cohereLLM, prompt=CONDENSE_QUESTION_PROMPT)
 doc_chain = load_qa_with_sources_chain(cohereLLM, chain_type="refine")
 
 rag_chain=chain = ConversationalRetrievalChain(
-    retriever=compression_retriever,
+    retriever=retriever,
     question_generator=question_generator,
     combine_docs_chain=doc_chain,
     return_source_documents=True