Create app.py

app.py

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+import streamlit as st
+from PIL import Image, ImageEnhance, ImageOps, ImageFilter
+import numpy as np
+import cv2
+from skimage import filters, transform
+
+# App title
+st.title("Image Editor App")
+
+# Sidebar
+st.sidebar.title("Features")
+uploaded_file = st.sidebar.file_uploader("Upload an Image", type=["png", "jpg", "jpeg"])
+if uploaded_file:
+    img = Image.open(uploaded_file)
+    img_array = np.array(img)
+
+    # Basic Editing
+    st.sidebar.subheader("Basic Editing")
+    brightness = st.sidebar.slider("Brightness", 0.5, 3.0, 1.0)
+    contrast = st.sidebar.slider("Contrast", 0.5, 3.0, 1.0)
+    saturation = st.sidebar.slider("Saturation", 0.5, 3.0, 1.0)
+    rotation_angle = st.sidebar.slider("Rotate", 0, 360, 0)
+    flip_option = st.sidebar.radio("Flip", ["None", "Horizontal", "Vertical"])
+
+    # Advanced Editing
+    st.sidebar.subheader("Advanced Editing")
+    blur = st.sidebar.slider("Blur", 0, 10, 0)
+    edge_detection = st.sidebar.checkbox("Edge Detection")
+    crop_left = st.sidebar.slider("Crop Left (%)", 0, 50, 0)
+    crop_right = st.sidebar.slider("Crop Right (%)", 0, 50, 0)
+    crop_top = st.sidebar.slider("Crop Top (%)", 0, 50, 0)
+    crop_bottom = st.sidebar.slider("Crop Bottom (%)", 0, 50, 0)
+
+    # Creative Features
+    st.sidebar.subheader("Creative Features")
+    text_overlay = st.sidebar.text_input("Text Overlay", "Enter text")
+    text_position_x = st.sidebar.slider("Text X Position", 0, img.width, 50)
+    text_position_y = st.sidebar.slider("Text Y Position", 0, img.height, 50)
+
+    # Apply transformations
+    enhancer = ImageEnhance.Brightness(img)
+    img = enhancer.enhance(brightness)
+    enhancer = ImageEnhance.Contrast(img)
+    img = enhancer.enhance(contrast)
+    enhancer = ImageEnhance.Color(img)
+    img = enhancer.enhance(saturation)
+
+    if rotation_angle:
+        img = img.rotate(rotation_angle)
+
+    if flip_option == "Horizontal":
+        img = ImageOps.mirror(img)
+    elif flip_option == "Vertical":
+        img = ImageOps.flip(img)
+
+    if blur > 0:
+        img = img.filter(ImageFilter.GaussianBlur(blur))
+
+    if edge_detection:
+        edges = cv2.Canny(np.array(img), 100, 200)
+        img = Image.fromarray(edges)
+
+    if any([crop_left, crop_right, crop_top, crop_bottom]):
+        width, height = img.size
+        img = img.crop((
+            width * crop_left // 100,
+            height * crop_top // 100,
+            width * (100 - crop_right) // 100,
+            height * (100 - crop_bottom) // 100
+        ))
+
+    # Text Overlay
+    if text_overlay:
+        img = np.array(img)
+        cv2.putText(img, text_overlay, (text_position_x, text_position_y),
+                    cv2.FONT_HERSHEY_SIMPLEX, 1, (255, 0, 0), 2, cv2.LINE_AA)
+        img = Image.fromarray(img)
+
+    # Display original and edited images
+    st.image(img_array, caption="Original Image", use_column_width=True)
+    st.image(img, caption="Edited Image", use_column_width=True)
+
+    # Download option
+    st.sidebar.download_button(
+        label="Download Edited Image",
+        data=img.tobytes(),
+        file_name="edited_image.png",
+        mime="image/png"
+    )
+else:
+    st.info("Please upload an image to begin.")