Add virtual environment and dependencies

app.py

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+import streamlit as st
+import pandas as pd
+
+# Set the title of the app
+st.title("CSV Viewer and Basic Stats")
+
+# Create a file uploader
+uploaded_file = st.file_uploader("Upload a CSV file", type=["csv"])
+
+if uploaded_file:
+    # Read the uploaded CSV file
+    df = pd.read_csv(uploaded_file)
+
+    # Display the dataframe
+    st.write("### Uploaded Data")
+    st.write(df)
+
+    # Display basic statistics
+    st.write("### Basic Statistics")
+    st.write(df.describe())
+
+    # Display the column names
+    st.write("### Column Names")
+    st.write(df.columns.tolist())
+
+    # Allow the user to select a column for more detailed stats
+    column = st.selectbox("Select a column for more stats", df.columns)
+
+    if column:
+        st.write(f"### Statistics for {column}")
+        st.write(f"Mean: {df[column].mean()}")
+        st.write(f"Median: {df[column].median()}")
+        st.write(f"Standard Deviation: {df[column].std()}")
+

requirements.txt

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+streamlit
+pandas