Update app.py

app.py

@@ -4,9 +4,7 @@ import os
 import numpy as np
 from langchain_community.vectorstores import Chroma
 from langchain_community.embeddings import HuggingFaceBgeEmbeddings
-# from dotenv import load_dotenv, find_dotenv
 
-# load_dotenv(find_dotenv(r"LLMs\.env"))
 HUGGINGFACEHUB_API_TOKEN = os.environ["token"]
 
 def clean_(l):
@@ -27,7 +25,7 @@ def similarity_search2(vectordb, query, k, unique="True"):
         return str(np.array(temp))[1:-1]
 
 with gr.Blocks() as demo:
-     gr.Markdown(
+    gr.Markdown(
     """
     <h2> <center> Query Retrieval </center> </h2>
     """)
@@ -53,6 +51,4 @@ with gr.Blocks() as demo:
     output = gr.Textbox()
     btn.click(mmt_query, [query, k, unique], output)
     
-    # interface = gr.Interface(fn=auto_eda, inputs="dataframe", outputs="json")
-# demo.queue()
 demo.launch()