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app.py

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+import streamlit as st
+import os
+import zipfile
+from PIL import Image
+
+
+def crop_image(image, left_mm, right_mm):
+    """
+    Crop the image from both the left and right sides.
+
+    Args:
+        image (PIL.Image.Image): The input image.
+        left_mm (float): The amount to crop from the left side in millimeters.
+        right_mm (float): The amount to crop from the right side in millimeters.
+
+    Returns:
+        PIL.Image.Image: The cropped image.
+    """
+    # Calculate the cropping width in pixels based on image DPI
+    dpi = image.info.get("dpi", 72)
+    width_mm = image.width * 25.4 / dpi
+    cropping_width = int((left_mm + right_mm) * image.width / width_mm)
+
+    # Calculate the left and right cropping boundaries
+    left_crop = int(left_mm * image.width / width_mm)
+    right_crop = image.width - int(right_mm * image.width / width_mm)
+
+    # Crop the image
+    cropped_image = image.crop((left_crop, 0, right_crop, image.height))
+
+    return cropped_image
+
+
+def main():
+    st.title("Batch Image Cropper")
+
+    # Upload multiple image files
+    uploaded_files = st.file_uploader("Upload image files", type=["jpg", "jpeg", "png"], accept_multiple_files=True)
+
+    if uploaded_files is not None:
+        # Get user input for cropping dimensions
+        left_mm = st.number_input("Crop from left (mm)", min_value=0.0, max_value=1000.0, value=0.0, step=0.1)
+        right_mm = st.number_input("Crop from right (mm)", min_value=0.0, max_value=1000.0, value=0.0, step=0.1)
+
+        # Create a container to hold the cropped images
+        images_container = st.empty()
+
+        # Process each uploaded image file
+        cropped_images = []
+        for uploaded_file in uploaded_files:
+            # Open the image file
+            image = Image.open(uploaded_file)
+
+            # Crop the image
+            cropped_image = crop_image(image, left_mm, right_mm)
+            cropped_images.append(cropped_image)
+
+        # Display the original and cropped images side by side
+        col_width = 300
+        num_images = len(uploaded_files)
+        num_columns = 2
+        num_rows = (num_images + 1) // num_columns
+        for row in range(num_rows):
+            cols = st.columns(num_columns)
+            for col in range(num_columns):
+                index = row * num_columns + col
+                if index < num_images:
+                    cols[col].subheader(f"Image {index+1}")
+                    cols[col].image(uploaded_files[index], caption="Original Image", width=col_width)
+                    cols[col].image(cropped_images[index], caption="Cropped Image", width=col_width)
+
+        # Save all cropped images
+        if st.button("Save All"):
+            zip_filename = "cropped_images.zip"
+            with zipfile.ZipFile(zip_filename, "w") as zipf:
+                for i, cropped_image in enumerate(cropped_images):
+                    filename, ext = os.path.splitext(uploaded_files[i].name)
+                    cropped_filename = f"cropped_{filename}.png"
+                    cropped_image.save(cropped_filename)
+                    zipf.write(cropped_filename)
+                    os.remove(cropped_filename)
+            st.success(f"All cropped images saved successfully as {zip_filename}")
+
+
+if __name__ == "__main__":
+    main()

requirements.txt

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+Pillow
+streamlit