Update app.py

app.py

@@ -1,101 +1,9 @@
-import os
-import streamlit as st
-import pandas as pd
-import matplotlib.pyplot as plt
-import dask.dataframe as dd
-from dotenv import load_dotenv
-from itertools import combinations
-from collections import defaultdict
+StreamlitDuplicateElementId: There are multiple file_uploader elements with the same auto-generated ID. When this element is created, it is assigned an internal ID based on the element type and provided parameters. Multiple elements with the same type and parameters will cause this error.
 
-# Load environment variables
-load_dotenv()
+To fix this error, please pass a unique key argument to the file_uploader element.
 
-# Configuration from environment variables
-FILE_UPLOAD_LIMIT = int(os.getenv('FILE_UPLOAD_LIMIT', 200))
-EXECUTION_TIME_LIMIT = int(os.getenv('EXECUTION_TIME_LIMIT', 300))
-RESOURCE_LIMIT = int(os.getenv('RESOURCE_LIMIT', 1024))  # in MB
-DATA_DIR = os.getenv('DATA_DIR', './data')
-CONFIG_FLAG = os.getenv('CONFIG_FLAG', 'default')
-
-# Main application logic
-def main():
-    st.title("CyberOps Dashboard")
-
-    # Sidebar for user inputs
-    st.sidebar.header("Options")
-
-    # Option to select a CSV file
-    uploaded_file = st.sidebar.file_uploader("Select a CSV file:", type=["csv"])
-
-    # Main frame for introduction and navigation
-    with st.container():
-        st.subheader("Welcome to CyberOps Dashboard")
-        st.write("""
-            The CyberOps Dashboard is designed to assist cybersecurity professionals in analyzing and visualizing data efficiently.
-            With this tool, you can upload CSV files, visualize data trends, and perform advanced data analysis.
-        """)
-
-        # Navigation section
-        st.subheader("Navigation")
-        st.write("Use the buttons below to navigate to different sections:")
-        col1, col2, col3 = st.columns(3)
-
-        with col1:
-            if st.button("Data Upload"):
-                st.sidebar.file_uploader("Select a CSV file:", type=["csv"])
-
-        with col2:
-            if st.button("Data Visualization"):
-                st.sidebar.selectbox('Select X-axis:', [])
-                st.sidebar.selectbox('Select Y-axis:', [])
-
-        with col3:
-            if st.button("Analysis Tools"):
-                st.sidebar.multiselect('Select columns for combinations:', [])
-
-    if uploaded_file:
-        @st.cache_data
-        def load_csv(file):
-            return pd.read_csv(file)
-
-        @st.cache_data
-        def load_dask_csv(file):
-            return dd.read_csv(file)
-
-        if os.path.getsize(uploaded_file) < RESOURCE_LIMIT * 1024 * 1024:
-            df = load_csv(uploaded_file)
-        else:
-            df = load_dask_csv(uploaded_file)
-
-        if not df.empty:
-            st.write("Data Preview:")
-            st.dataframe(df.compute() if isinstance(df, dd.DataFrame) else df)
-
-            # Select columns for plotting
-            x_column = st.sidebar.selectbox('Select X-axis:', df.columns)
-            y_column = st.sidebar.selectbox('Select Y-axis:', df.columns)
-
-            # Plotting
-            fig, ax = plt.subplots()
-            ax.plot(df[x_column], df[y_column], marker='o')
-            ax.set_xlabel(x_column)
-            ax.set_ylabel(y_column)
-            ax.set_title(f"{y_column} vs {x_column}")
-            st.pyplot(fig)
-
-            # Combinatorial analysis
-            col_combinations = st.sidebar.multiselect('Select columns for combinations:', df.columns)
-            if col_combinations:
-                st.write("Column Combinations:")
-                comb = list(combinations(col_combinations, 2))
-                st.write(comb)
-
-            # Grouping and aggregation
-            group_by_column = st.sidebar.selectbox('Select column to group by:', df.columns)
-            if group_by_column:
-                grouped_df = df.groupby(group_by_column).agg(list)
-                st.write("Grouped Data:")
-                st.dataframe(grouped_df.compute() if isinstance(grouped_df, dd.DataFrame) else grouped_df)
-
-if __name__ == "__main__":
-    main()
+Traceback:
+File "/home/user/app/app.py", line 101, in <module>
+    main()
+File "/home/user/app/app.py", line 45, in main
+    st.sidebar.file_uploader("Select a CSV file:", type=["csv"])