chrisaldikaraharja commited on
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e0695a3
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1 Parent(s): 1b0deda

Create app.py

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  1. app.py +43 -0
app.py ADDED
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+ import streamlit as st
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+ import os
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+ import random
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+ from PIL import Image
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+ import kagglehub
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+
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+ # Step 1: Download the latest version of the dataset
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+ path = kagglehub.dataset_download("imreallyjohn/cartoonset10k")
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+
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+ # Display the path to the dataset files
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+ st.write("Path to dataset files:", path)
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+
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+ # Step 2: Set the images folder
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+ images_folder = os.path.join(path, "cartoonset10k/renamed_images/renamed_images") # Adjust as necessary
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+
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+ # Step 3: List all image files in the dataset directory
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+ image_files = [f for f in os.listdir(images_folder) if f.endswith('.png')] # Filter for .png files
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+
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+ # Initialize a variable to hold the selected image path
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+ selected_image_path = None
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+
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+ # Step 4: Create a button to generate a random avatar
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+ if st.button("Generate Avatar"):
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+ if image_files:
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+ # Select a random available image
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+ random_image_filename = random.choice(image_files) # Select a random image
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+ selected_image_path = os.path.join(images_folder, random_image_filename)
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+
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+ # Load and display the selected image
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+ selected_image = Image.open(selected_image_path)
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+ st.image(selected_image, caption=random_image_filename) # Display image with caption
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+ st.success(f"Displayed image: {random_image_filename}") # Show success message
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+ else:
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+ st.warning("No available images to display.") # Show warning if no images are found
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+
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+ # Optional: Add a download link for the displayed image
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+ if selected_image_path:
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+ st.download_button(
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+ label="Download Avatar",
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+ data=open(selected_image_path, "rb").read(),
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+ file_name=os.path.basename(selected_image_path),
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+ mime="image/png"
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+ )