Create app.py

app.py

@@ -0,0 +1,85 @@
+import streamlit as st
+from PIL import Image, ImageEnhance
+import numpy as np
+from io import BytesIO
+
+# Function to apply the filter
+def apply_filter(img):
+    # Convert image to editable format
+    img = img.convert("RGB")
+
+    # Apply exposure
+    exposure = 1 + (-0.31)  # Adjusted for Brightness
+    enhancer = ImageEnhance.Brightness(img)
+    img = enhancer.enhance(exposure)
+
+    # Apply contrast
+    contrast = 1 + (-18 / 100)  # Adjusted for Contrast
+    enhancer = ImageEnhance.Contrast(img)
+    img = enhancer.enhance(contrast)
+
+    # Highlights and shadows approximation
+    img_array = np.array(img, dtype=np.float32) / 255.0
+    shadows = 1.5  # Adjusted for Shadows (+50)
+    highlights = 0.0  # Adjusted for Highlights (-100)
+    img_array = np.clip(img_array * shadows + highlights, 0, 1)
+    img = Image.fromarray((img_array * 255).astype(np.uint8))
+
+    # Whites and blacks approximation
+    whites = 1.12  # Adjusted for Whites (+12)
+    blacks = 0.80  # Adjusted for Blacks (-20)
+    img_array = np.clip(img_array * whites * blacks, 0, 1)
+    img = Image.fromarray((img_array * 255).astype(np.uint8))
+
+    # Vibrance and saturation
+    img_hsv = img.convert("HSV")
+    h, s, v = img_hsv.split()
+    vibrance = 1 + 70 / 100
+    s = s.point(lambda i: min(255, max(0, int(i * vibrance))))
+    saturation = 1 + 20 / 100
+    s = s.point(lambda i: min(255, max(0, int(i * saturation))))
+    img = Image.merge("HSV", (h, s, v)).convert("RGB")
+
+    # Texture and sharpening approximation
+    texture = 1 + 4 / 100
+    sharpening = 1 + 18 / 100
+    enhancer = ImageEnhance.Sharpness(img)
+    img = enhancer.enhance(texture * sharpening)
+
+    # Radius and detail (approximated using sharpening and clarity)
+    radius = 1.2
+    detail = 1 + 30 / 100
+    img = img.filter(ImageEnhance.UnsharpMask(radius=radius, percent=detail * 100, threshold=3))
+
+    return img
+
+# Streamlit app
+st.title("Classic Photo Editor")
+st.write("Upload an image to apply the filter.")
+
+# Upload image
+uploaded_file = st.file_uploader("Choose an image", type=["jpg", "jpeg", "png"])
+
+if uploaded_file:
+    # Open the uploaded image
+    img = Image.open(uploaded_file)
+
+    # Display the original image
+    st.subheader("Original Image")
+    st.image(img, use_column_width=True)
+
+    # Apply the filter
+    st.subheader("Filtered Image")
+    filtered_img = apply_filter(img)
+    st.image(filtered_img, use_column_width=True)
+
+    # Provide download button
+    buf = BytesIO()
+    filtered_img.save(buf, format="JPEG")
+    byte_im = buf.getvalue()
+    st.download_button(
+        label="Download Filtered Image",
+        data=byte_im,
+        file_name="filtered_image.jpg",
+        mime="image/jpeg"
+    )