Update app.py

app.py

@@ -16,13 +16,12 @@ tab1, tab2, tab3, tab4 = st.tabs(["📖 About", "📊 Dataset Overview", "🧑
 with tab1:
     st.write("""
     This app segments customers based on their purchasing behavior using unsupervised learning.
-    You can upload one or two datasets for analysis.
+    You can upload any dataset file type (CSV, Excel) for analysis.
     """)
 
 # File uploader in the Dataset Tab
 with tab2:
-    uploaded_file1 = st.file_uploader("Upload First Dataset", type=["csv", "xlsx"], key="file1")
-    uploaded_file2 = st.file_uploader("Upload Second Dataset (Optional)", type=["csv", "xlsx"], key="file2")
+    uploaded_file = st.file_uploader("Upload Your Dataset", type=["csv", "xlsx"])
 
     def load_data(uploaded_file):
         if uploaded_file is not None:
@@ -36,25 +35,11 @@ with tab2:
                 st.error(f"Error loading dataset: {e}")
         return None
 
-    df1 = load_data(uploaded_file1)
-    df2 = load_data(uploaded_file2)
+    df = load_data(uploaded_file)
 
-    if df1 is not None:
-        st.write("### First Dataset Overview")
-        st.write(df1.head())
-    
-    if df2 is not None:
-        st.write("### Second Dataset Overview")
-        st.write(df2.head())
-    
-    if df1 is not None and df2 is not None:
-        merge_option = st.radio("How would you like to combine the datasets?", ("Concatenate", "Keep Separate"))
-        if merge_option == "Concatenate":
-            df = pd.concat([df1, df2], ignore_index=True)
-        else:
-            df = None  # Handle separately in clustering
-    else:
-        df = df1 if df1 is not None else df2
+    if df is not None:
+        st.write("### Dataset Overview")
+        st.write(df.head())
 
 # Customer Segmentation Tab
 with tab3:
@@ -94,4 +79,4 @@ with tab3:
         csv = customer_data.to_csv(index=True)
         st.download_button("Download Segmented Customer Data", data=csv, file_name="segmented_customer_data.csv", mime="text/csv")
     else:
-        st.write("Please upload at least one dataset to start.")
+        st.write("Please upload a dataset to start.")