Update app.py

app.py

@@ -1,31 +1,32 @@
 import streamlit as st
 from PIL import Image
 import io
-import numpy as np
-from image_optimization_utils import (
-    compress_image, 
-    convert_image_format, 
-    resize_image
-)
+
+def compress_image(image, quality=85):
+    img_byte_arr = io.BytesIO()
+    image.save(img_byte_arr, format='JPEG', quality=quality)
+    img_byte_arr.seek(0)
+    return Image.open(img_byte_arr)
+
+def convert_image_format(image, target_format='webp', quality=85):
+    img_byte_arr = io.BytesIO()
+    image.save(img_byte_arr, format=target_format.upper(), quality=quality)
+    img_byte_arr.seek(0)
+    return Image.open(img_byte_arr)
 
 def main():
     st.title("Bild Optimierungs-Tool")
     
-    # Seitenleiste für Einstellungen
     st.sidebar.header("Optimierungseinstellungen")
     
-    # Datei-Upload
     uploaded_file = st.file_uploader("Wählen Sie ein Bild", type=['jpg', 'png', 'jpeg', 'webp'])
     
     if uploaded_file is not None:
-        # Bild laden
         original_image = Image.open(uploaded_file)
         
-        # Vorschau des Originalbildes
         st.subheader("Originalbild")
         st.image(original_image, caption="Ursprüngliches Bild")
         
-        # Kompressionseinstellungen
         compression_quality = st.sidebar.slider(
             "Kompressionsqualität", 
             min_value=1, 
@@ -33,37 +34,30 @@ def main():
             value=85
         )
         
-        # Zielformate
         target_formats = st.sidebar.multiselect(
             "Zielformate", 
             ['jpg', 'png', 'webp'],
             default=['webp']
         )
         
-        # Optimierungsbutton
         if st.button("Bild optimieren"):
-            # Optimierungsergebnisse
             results = {}
             
             for format in target_formats:
-                # Bild komprimieren und konvertieren
                 optimized_image = convert_image_format(
                     original_image, 
                     target_format=format, 
                     quality=compression_quality
                 )
                 
-                # Speichern im Speicher
                 img_byte_arr = io.BytesIO()
                 optimized_image.save(img_byte_arr, format=format.upper(), quality=compression_quality)
                 img_byte_arr = img_byte_arr.getvalue()
                 
-                # Größenberechnung
                 original_size = len(uploaded_file.getvalue())
                 optimized_size = len(img_byte_arr)
                 compression_ratio = (1 - optimized_size / original_size) * 100
                 
-                # Ergebnisse speichern
                 results[format] = {
                     'image': optimized_image,
                     'original_size': original_size,
@@ -71,7 +65,6 @@ def main():
                     'compression_ratio': compression_ratio
                 }
             
-            # Ergebnisse anzeigen
             st.subheader("Optimierungsergebnisse")
             for format, result in results.items():
                 col1, col2 = st.columns(2)
@@ -84,7 +77,6 @@ def main():
                     st.write(f"Optimierte Größe: {result['optimized_size']} Bytes")
                     st.write(f"Kompressionsrate: {result['compression_ratio']:.2f}%")
                 
-                # Download-Button
                 img_byte_arr = io.BytesIO()
                 result['image'].save(img_byte_arr, format=format.upper(), quality=compression_quality)
                 st.download_button(
@@ -94,4 +86,5 @@ def main():
                     mime=f"image/{format}"
                 )
 
-# Hilfsfunktionen in separater Datei image_optimization_utils.py
+if __name__ == "__main__":
+    main()