Update app.py

app.py

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-Certainly! Below is the complete Streamlit app code that combines both basic image transformations and a simulation of latent space augmentation to generate synthetic images. This version doesn't require training a model and instead uses traditional image processing techniques along with simulated noise addition to create augmented images. Users can upload 1 to 10 images, specify the desired number of augmented samples per original image, and download a ZIP file containing all the generated synthetic images.
-
-### Complete Streamlit App Code
-
-```python
 import streamlit as st
 from PIL import Image, ImageEnhance, ImageOps
 import numpy as np