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import streamlit as st
from PIL import Image
import io
import traceback
import time
def compress_image(image, format='webp', quality=85):
try:
img_byte_arr = io.BytesIO()
image.save(img_byte_arr, format=format.upper(), quality=quality)
img_byte_arr.seek(0)
return Image.open(img_byte_arr)
except Exception as e:
st.error(f"Fehler bei Bildkompression: {e}")
st.error(traceback.format_exc())
return None
def main():
st.title("Bild Optimierungs-Tool")
st.sidebar.header("Optimierungseinstellungen")
uploaded_file = st.file_uploader("Wählen Sie ein Bild", type=['jpg', 'png', 'jpeg', 'webp'])
if uploaded_file is not None:
try:
original_image = Image.open(uploaded_file)
st.subheader("Originalbild")
st.image(original_image, caption="Ursprüngliches Bild")
original_size_bytes = len(uploaded_file.getvalue())
st.write(f"Ursprüngliche Bildgröße: {original_size_bytes} Bytes")
compression_quality = st.sidebar.slider(
"Kompressionsqualität",
min_value=1,
max_value=100,
value=85
)
target_format = st.sidebar.selectbox(
"Zielformat",
['webp', 'jpg', 'png']
)
# Status-Flag für Optimierung
if 'optimization_done' not in st.session_state:
st.session_state.optimization_done = False
if st.button("Bild optimieren", disabled=st.session_state.optimization_done):
# Setze Flag, um mehrfache Optimierung zu verhindern
st.session_state.optimization_done = True
# Fortschrittsbalken
progress_bar = st.progress(0)
status_text = st.empty()
try:
# Simuliere Optimierungsprozess
status_text.text("Optimierung startet...")
progress_bar.progress(20)
time.sleep(1)
optimized_image = compress_image(
original_image,
format=target_format,
quality=compression_quality
)
status_text.text("Bildverarbeitung...")
progress_bar.progress(50)
time.sleep(1)
if optimized_image:
img_byte_arr = io.BytesIO()
optimized_image.save(img_byte_arr, format=target_format.upper(), quality=compression_quality)
img_byte_arr.seek(0)
status_text.text("Finalisiere...")
progress_bar.progress(80)
time.sleep(1)
optimized_size_bytes = img_byte_arr.getbuffer().nbytes
compression_ratio = (1 - optimized_size_bytes / original_size_bytes) * 100
progress_bar.progress(100)
status_text.text("Optimierung abgeschlossen!")
st.subheader("Optimierungsergebnisse")
col1, col2 = st.columns(2)
with col1:
st.image(optimized_image, caption=f"Optimiert ({target_format.upper()})")
with col2:
st.write(f"Ursprüngliche Größe: {original_size_bytes} Bytes")
st.write(f"Optimierte Größe: {optimized_size_bytes} Bytes")
st.write(f"Kompressionsrate: {compression_ratio:.2f}%")
st.download_button(
label=f"Download {target_format.upper()}",
data=img_byte_arr,
file_name=f"optimized_image.{target_format}",
mime=f"image/{target_format}"
)
except Exception as e:
st.error(f"Fehler bei Bildoptimierung: {e}")
# Setze Flag zurück bei Fehler
st.session_state.optimization_done = False
finally:
# Lösche Fortschrittsbalken und Statustext
progress_bar.empty()
status_text.empty()
except Exception as e:
st.error(f"Fehler beim Laden des Bildes: {e}")
if __name__ == "__main__":
main() |