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app.py
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import streamlit as st
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import sqlite3
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import pandas as pd
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# Initialize SQLite database
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conn = sqlite3.connect('word_classification.db')
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c = conn.cursor()
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# Create table if it doesn't exist
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c.execute('''
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CREATE TABLE IF NOT EXISTS word_classification (
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word TEXT,
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category TEXT
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)
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''')
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# Function to save word and its category
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def save_word(word, category):
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c.execute("INSERT INTO word_classification (word, category) VALUES (?, ?)",
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(word, category))
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conn.commit()
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# Function to load words
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def load_words():
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df = pd.read_sql_query("SELECT * FROM word_classification", conn)
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return df
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# Streamlit UI
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st.title('Word Classification')
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# Input fields for word and category
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word = st.text_input('Enter Word')
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category = st.selectbox('Select Category', ['Theme', 'Subtheme', 'Keywords'])
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if st.button('Save Word'):
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save_word(word, category)
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st.success(f'Word "{word}" saved under category "{category}"!')
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if st.button('View All Entries'):
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df = load_words()
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st.dataframe(df)
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# Close the database connection when the app is done
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conn.close()
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