import streamlit as st
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# Read the CSV file
df = pd.read_csv('all+++.csv')

# Display the CSV file
st.title('CSV File Overview')
st.dataframe(df)

# Bar plot for genres
st.title('Genre Bar Plot')
genre_counts = df['genre'].value_counts()
plt.figure(figsize=(10, 6))
sns.barplot(x=genre_counts.index, y=genre_counts.values)
plt.xlabel('Genre')
plt.ylabel('Count')
plt.xticks(rotation=45)
st.pyplot()

# Distribution plot for annotation lengths
st.title('Annotation Length Distribution')
annotation_lengths = df['annotation'].str.len()
plt.figure(figsize=(10, 6))
sns.histplot(annotation_lengths, kde=True)
plt.xlabel('Annotation Length')
plt.ylabel('Count')
st.pyplot()