Update app.py

app.py

@@ -1,15 +1,63 @@
 import streamlit as st
-from PIL import Image, ImageOps
+from PIL import Image, ImageOps, ImageEnhance
 
 # Function to apply effects
 def apply_effect(image, effect):
     if effect == "kiss":
-        image = image.convert("L")  # Convert to grayscale
+        image = image.convert("L")  # Grayscale
     elif effect == "sepia":
         sepia_img = ImageOps.colorize(image.convert("L"), black="black", white="orange")
         image = sepia_img
     elif effect == "invert":
         image = ImageOps.invert(image.convert("RGB"))
+    elif effect == "contrast":
+        enhancer = ImageEnhance.Contrast(image)
+        image = enhancer.enhance(2.0)  # Increase contrast
+    elif effect == "brightness":
+        enhancer = ImageEnhance.Brightness(image)
+        image = enhancer.enhance(1.5)  # Increase brightness
+    elif effect == "sharpness":
+        enhancer = ImageEnhance.Sharpness(image)
+        image = enhancer.enhance(2.0)  # Increase sharpness
+    elif effect == "blur":
+        image = image.filter(ImageFilter.BLUR)
+    elif effect == "contour":
+        image = image.filter(ImageFilter.CONTOUR)
+    elif effect == "edge_enhance":
+        image = image.filter(ImageFilter.EDGE_ENHANCE)
+    elif effect == "emboss":
+        image = image.filter(ImageFilter.EMBOSS)
+    elif effect == "find_edges":
+        image = image.filter(ImageFilter.FIND_EDGES)
+    elif effect == "solarize":
+        image = ImageOps.solarize(image, threshold=128)
+    elif effect == "posterize":
+        image = ImageOps.posterize(image, bits=2)
+    elif effect == "grayscale":
+        image = image.convert("L")
+    elif effect == "autocontrast":
+        image = ImageOps.autocontrast(image)
+    elif effect == "equalize":
+        image = ImageOps.equalize(image)
+    elif effect == "flip":
+        image = ImageOps.mirror(image)
+    elif effect == "rotate_90":
+        image = image.rotate(90, expand=True)
+    elif effect == "rotate_180":
+        image = image.rotate(180, expand=True)
+    elif effect == "rotate_270":
+        image = image.rotate(270, expand=True)
+    elif effect == "crop_center":
+        width, height = image.size
+        left = width * 0.25
+        top = height * 0.25
+        right = width * 0.75
+        bottom = height * 0.75
+        image = image.crop((left, top, right, bottom))
+    elif effect == "resize_50%":
+        image = image.resize((image.size[0] // 2, image.size[1] // 2))
+    elif effect == "resize_200%":
+        image = image.resize((image.size[0] * 2, image.size[1] * 2))
     return image
 
 # Streamlit app
@@ -19,17 +67,27 @@ st.title("Image Effect Converter")
 uploaded_files = st.file_uploader("Upload images", type=["jpg", "png", "jpeg"], accept_multiple_files=True)
 
 if uploaded_files:
-    # Process each uploaded image
-    for uploaded_file in uploaded_files:
+    for idx, uploaded_file in enumerate(uploaded_files):
         # Display each uploaded image
         image = Image.open(uploaded_file)
         st.image(image, caption=f"Uploaded Image: {uploaded_file.name}", use_column_width=True)
 
-        # Select an effect for each image
-        effect = st.selectbox(f"Choose an effect for {uploaded_file.name}", ["kiss", "sepia", "invert"], key=uploaded_file.name)
+        # 20+ effects in the selectbox
+        effects = [
+            "kiss", "sepia", "invert", "contrast", "brightness", "sharpness", "blur",
+            "contour", "edge_enhance", "emboss", "find_edges", "solarize", "posterize",
+            "grayscale", "autocontrast", "equalize", "flip", "rotate_90", "rotate_180",
+            "rotate_270", "crop_center", "resize_50%", "resize_200%"
+        ]
+
+        effect = st.selectbox(
+            f"Choose an effect for {uploaded_file.name}",
+            effects,
+            key=f"effect_{idx}"
+        )
 
         # Apply effect
-        if st.button(f"Apply Effect to {uploaded_file.name}"):
+        if st.button(f"Apply Effect to {uploaded_file.name}", key=f"button_{idx}"):
             processed_image = apply_effect(image, effect)
             st.image(processed_image, caption=f"Processed Image: {uploaded_file.name}", use_column_width=True)