Update app.py

app.py

@@ -512,33 +512,35 @@ def kmeans_clustering(df, k):
   return df
 
 def upload_and_select_dataframe():
-  st.sidebar.title("File Upload")
-  uploaded_files = st.sidebar.file_uploader("Choose CSV or Excel files", type=["csv", "xlsx", "xls", "xlsb"], accept_multiple_files=True)
-  
-  dataframes = {}
-  for uploaded_file in uploaded_files:
-      try:
-          if uploaded_file.name.endswith(('.csv')):
-              df = pd.read_csv(uploaded_file)
-          elif uploaded_file.name.endswith(('.xls', '.xlsx', '.xlsb')):
-              df = pd.read_excel(uploaded_file)
-          else:
-              st.sidebar.error(f"Unsupported file type: {uploaded_file.name}")
-              continue
-          dataframes[uploaded_file.name] = df
-      except Exception as e:
-          st.sidebar.error(f"Error reading {uploaded_file.name}: {e}")
+    st.sidebar.title("File Upload")
+    uploaded_files = st.sidebar.file_uploader("Choose CSV or Excel files", type=["csv", "xlsx", "xls", "xlsb"], accept_multiple_files=True)
+      
+    dataframes = {}
+    dataframes[Sample Dataset] = pd.read_excel("Sample dataset.xlsx")
+    
+    for uploaded_file in uploaded_files:
+        try:
+            if uploaded_file.name.endswith(('.csv')):
+                df = pd.read_csv(uploaded_file)
+            elif uploaded_file.name.endswith(('.xls', '.xlsx', '.xlsb')):
+                df = pd.read_excel(uploaded_file)
+            else:
+                st.sidebar.error(f"Unsupported file type: {uploaded_file.name}")
+                continue
+            dataframes[uploaded_file.name] = df
+        except Exception as e:
+              st.sidebar.error(f"Error reading {uploaded_file.name}: {e}")
   
-  if len(uploaded_files) > 7:
-    st.sidebar.error('Maximum 7 files can be uploaded.')
-    return None
-
-  if dataframes:
-      selected_file = st.sidebar.selectbox("Select a DataFrame", list(dataframes.keys()))
-      return dataframes[selected_file]
-  else:
-      st.sidebar.info("Please upload some files.")
-      return None
+    if len(uploaded_files) > 7:
+        st.sidebar.error('Maximum 7 files can be uploaded.')
+        return None
+
+    if dataframes:
+        selected_file = st.sidebar.selectbox("Select a DataFrame", list(dataframes.keys()))
+        return dataframes[selected_file]
+    else:
+        st.sidebar.info("Please upload some files.")
+        return None
 
 def categorize_responses(df, api_key, prompt=None):
     """