import streamlit as st
import pandas as pd

# Set page title
st.title("Student Grades Analysis")

# File uploader for CSV
uploaded_file = st.file_uploader("Upload your student grades CSV file", type=["csv"])

if uploaded_file is not None:
    # Read the CSV file
    df = pd.read_csv(uploaded_file)
    
    # Display the DataFrame
    st.subheader("Uploaded DataFrame")
    st.dataframe(df)
    
    # Display descriptive statistics
    st.subheader("Descriptive Statistics")
    st.write("**Basic Statistics for Numeric Columns**")
    st.dataframe(df.describe())
    
    # Additional statistics
    st.write("**Column Data Types**")
    st.write(df.dtypes)
    
    st.write("**Missing Values**")
    st.write(df.isnull().sum())
    
    st.write("**Gender Distribution**")
    st.write(df['gender'].value_counts())
    
    st.write("**Correlation between Physics and Math Grades**")
    st.write(df[['physics_grade', 'math_grade']].corr())
else:
    st.info("Please upload a CSV file to see the data and statistics.")