Update app.py

app.py

@@ -80,16 +80,9 @@ def create_retriever_from_chroma(vectorstore_path="docs/chroma/", search_type='m
     
     retriever=vectorstore.as_retriever(search_type = search_type, search_kwargs={"k": k})
 
-    compressor = LLMChainExtractor.from_llm(llm)
-
-    compression_retriever = ContextualCompressionRetriever(
-    base_compressor=compressor,
-    base_retriever=retriever
-)
-    
     
 
-    return compression_retriever
+    return retriever
 
 
 
@@ -114,7 +107,7 @@ def main():
     st.markdown("Hi, I am Qwen, chat mmodel, based on respublic of Lithuania law document. Write you question and press enter to start chat.")
 
     
-    retriever = create_retriever_from_chroma(vectorstore_path="docs/chroma/", search_type='mmr', k=9, chunk_size=250, chunk_overlap=20)
+    retriever = create_retriever_from_chroma(vectorstore_path="docs/chroma/", search_type='mmr', k=12, chunk_size=120, chunk_overlap=20)
     if user_question := st.text_input("Ask a question about your documents:"):
         handle_userinput(user_question,retriever)