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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'.")
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