st_eye_plot.py

import os
from collections import Counter
import streamlit as st
import pandas as pd
import plotly.express as px
from PIL import Image

# Streamlit app title
st.title('Interactive Tag Frequency Visualization')

# Folder path
folder_path = "/home/caimera-prod/eye_tagged_data"

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

    # 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:
                content = file.read().strip()
                if 'eye' in content.lower():  # Check if 'eye' is in the content
                    tags = content.split(',')
                    # Clean and count each tag
                    tags = [tag.strip().lower() for tag in tags]
                    tag_counter.update(tags)

                    # Find the corresponding image and get its resolution
                    image_name = file_name.replace('.txt', '.jpg')  # Assuming the images are in .jpg format
                    image_path = os.path.join(folder_path, image_name)
                    if os.path.exists(image_path):
                        image = Image.open(image_path)
                        resolution = image.size  # (width, height)
                        file_resolutions.append((file_name, resolution[0], resolution[1]))
                    else:
                        file_resolutions.append((file_name, 'N/A', 'N/A'))  # In case the image is not found

    # Convert the Counter and resolution data 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)

    resolution_data = pd.DataFrame(file_resolutions, columns=['File Name', 'Width', 'Height'])

    # Display the DataFrame as a table in Streamlit
    if not tag_data.empty:
        st.subheader('Tag Frequency Table')
        st.dataframe(tag_data)

        st.subheader('Image Resolutions for Files Containing "eye"')
        st.dataframe(resolution_data)

        # Create an interactive bar chart using Plotly
        st.subheader('Interactive Tag Frequency Bar Chart')
        fig = px.bar(tag_data, x='Tag', y='Count', title='Tag Frequency', labels={'Count': 'Frequency'}, height=600)
        fig.update_layout(xaxis_title='Tags', yaxis_title='Frequency')
        st.plotly_chart(fig)
    else:
        st.write("No tags found in files containing the word 'eye'.")