Update app.py

app.py

@@ -5,6 +5,7 @@ from sklearn.cluster import KMeans
 import matplotlib.pyplot as plt
 from sklearn.decomposition import PCA
 import re
+from io import BytesIO
 
 def preprocess_data(df):
     #Keep rows with "user" in the "sender" column
@@ -160,8 +161,10 @@ def visualize_clusters(df):
     plt.ylabel('PCA Component 2')
     plt.show()
 
+
 def main(file, num_clusters):
-    df = pd.read_excel(file.name)
+    file_data = file.read()
+    df = pd.read_excel(BytesIO(file_data))
     df = preprocess_data(df)
     df = cluster_data(df, num_clusters)
     visualize_clusters(df)