streamlit.py

import os
from collections import Counter
import streamlit as st
import pandas as pd

# Streamlit app title
# st.title('Tag Frequency Table')

# File uploader to select folder
folder_path = "/home/caimera-prod/Paid-data"

if folder_path:
    # Initialize a Counter to count tag frequency
    tag_counter = Counter()

    # Iterate through each .txt file in the folder
    for file_name in os.listdir(folder_path):
        if file_name.endswith('.txt'):
            file_path = os.path.join(folder_path, file_name)
            with open(file_path, 'r') as file:
                tags = file.read().strip().split(',')
                # Clean and count each tag
                tags = [tag.strip().lower() for tag in tags]
                tag_counter.update(tags)

    # Convert the Counter to a DataFrame for better display
    tag_data = pd.DataFrame(tag_counter.items(), columns=['Tag', 'Count'])
    tag_data = tag_data.sort_values(by='Count', ascending=False).reset_index(drop=True)

    # Display the DataFrame as a table in Streamlit
    st.subheader('Tag Frequency Table')
    st.table(tag_data)