refactor: lint app.py

app.py

@@ -1,6 +1,5 @@
 from functools import cache
 import os
-import time
 import gradio as gr
 from langchain.llms import OpenAI
 from langchain.chains.summarize import load_summarize_chain
@@ -33,10 +32,13 @@ def split_documents(docs, length_function, chunk_size=400):
 
 
 def summarize_docs(llm, docs):
-    llm = OpenAI(temperature=temperature, openai_api_key=openai_api_key, model_name=model_name)
+    llm = OpenAI(
+        temperature=temperature, openai_api_key=openai_api_key, model_name=model_name
+    )
     chain = load_summarize_chain(llm, chain_type="map_reduce")
     return chain.run(docs)
 
+
 class MdnaQA:
     def __init__(self, llm, docs):
         self.docs = docs
@@ -49,7 +51,6 @@ class MdnaQA:
         return self.chain.run(input_documents=input_documents, question=question)
 
 
-
 filename = "2023-05-12_2023_q1_goog_mdna.txt"
 loader = TextLoader(filename)
 documents = loader.load()