Update app.py

app.py

@@ -24,8 +24,8 @@ from kmodes.kprototypes import KPrototypes
 import plotly.graph_objects as go
 import streamlit as st
 #pip install google-generativeai
-<<<<<<< HEAD
-=======
+
+
 import os
 from huggingface_hub import hf_hub_download
 
@@ -37,7 +37,6 @@ token = os.environ["HUGGING_FACE_HUB_TOKEN"]
 
 # Download the file
 local_file = hf_hub_download(repo_id=repo_id, filename=filename, repo_type="dataset",token=token)
->>>>>>> a1737e215eee9b3b19a3c8b876c3d8053c8ba3ec
 
 
 
@@ -65,11 +64,7 @@ analysis_option = st.sidebar.selectbox('Select Analysis', ['Data','EDA', 'Machin
 ## Loading data
 @st.cache_data()
 def fetch_data():
-<<<<<<< HEAD
-    data = pd.read_parquet("EDA_DATA.parquet")
-=======
     data = pd.read_parquet(local_file)
->>>>>>> a1737e215eee9b3b19a3c8b876c3d8053c8ba3ec
     return data
 data = fetch_data()
 
@@ -1004,15 +999,6 @@ def imputer(filtered_data):
     return ML(Ml_data, scaler, unscaled_data)
 
 
-<<<<<<< HEAD
-@st.cache_data()
-def fetch_data_1():
-    data = pd.read_parquet("ML_DATA.parquet")
-    return data
-
-
-=======
-
 filename_1 = "ML_DATA.parquet"
 
 # Access the token