Store data on Huggingface

app.py

@@ -3,16 +3,19 @@ import pandas as pd
 import matplotlib.pyplot as plt
 import seaborn as sns
 
+from datasets import load_dataset
+
 # Streamlit title and introduction
 st.title("Likert Scale Visualizations")
 st.write("This app visualizes responses to a survey.")
 
-# Upload the CSV file
-uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
+# Get Data
+dataset = load_dataset("krishaamer/taiwanese-college-students", data_files={'train': 'clean.csv'})
+
+if dataset is not None:
 
-if uploaded_file is not None:
     # Load the CSV file into a DataFrame
-    df = pd.read_csv(uploaded_file)
+    df = dataset['train'].to_pandas()
 
     likert_fields = {
         '購物習慣': [

requirements.txt

@@ -1,4 +1,5 @@
 streamlit
 pandas
 matplotlib
-seaborn
+seaborn
+datasets