Spaces:
Running
on
Zero
Running
on
Zero
File size: 9,123 Bytes
a275fd7 994e76c ec2f2e2 a275fd7 ec2f2e2 994e76c a275fd7 ec2f2e2 994e76c a275fd7 42b94c5 |
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import gradio as gr
import os
from rembg import remove
from PIL import Image
import io
import zipfile
from typing import List, Tuple, Union, IO, Optional
import spaces
@spaces.GPU
def remove_background_single(image_file: Union[str, IO[bytes]]) -> Optional[Image.Image]:
"""Removes the background from a single image.
This function takes an image file (either as a path or a file-like object),
processes it to remove the background, and returns the result as a
Pillow (PIL) Image object with a transparent background.
Args:
image_file: The input image. Can be a path to a
file on disk or a file-like object (e.g., from a file upload).
Returns:
A Pillow Image object with the background removed, or None if
the input was None.
"""
if image_file is None:
return None
# Read the image data
if hasattr(image_file, 'read'):
input_data = image_file.read()
else:
with open(image_file, 'rb') as f:
input_data = f.read()
# Remove background
output_data = remove(input_data)
# Convert to PIL Image
output_image = Image.open(io.BytesIO(output_data))
return output_image
@spaces.GPU
def remove_background_multiple(image_files: List[Union[str, IO[bytes]]]) -> Tuple[Optional[str], List[Image.Image]]:
"""Removes backgrounds from multiple images and provides a zip archive.
This function processes a list of image files. For each image, it removes
the background, then bundles all the processed images (in PNG format)
into a single zip file for download. It also returns a small number of
processed images as previews for display in the UI.
Args:
image_files: A list of input images. Each element can be a
path to a file or a file-like object.
Returns:
A tuple containing:
- A string with the file path to the generated zip archive. This
is `None` if the input list was empty.
- A list of up to 5 processed Pillow Image objects to be used
as a preview.
"""
if not image_files:
return None, []
processed_images = []
preview_images = []
# Create a zip file in memory
zip_buffer = io.BytesIO()
with zipfile.ZipFile(zip_buffer, 'w', zipfile.ZIP_DEFLATED) as zip_file:
for i, image_file in enumerate(image_files):
try:
# Get original filename or create one
if hasattr(image_file, 'name') and image_file.name:
original_name = os.path.basename(image_file.name)
name_without_ext = os.path.splitext(original_name)[0]
else:
name_without_ext = f"image_{i+1}"
# Remove background
processed_image = remove_background_single(image_file)
if processed_image:
# Save to zip file
img_buffer = io.BytesIO()
processed_image.save(img_buffer, format='PNG')
img_buffer.seek(0)
zip_file.writestr(f"{name_without_ext}_no_bg.png", img_buffer.getvalue())
# Add to preview (limit to first 5 images for display)
if len(preview_images) < 5:
preview_images.append(processed_image)
except Exception as e:
print(f"Error processing image {i+1}: {str(e)}")
continue
zip_buffer.seek(0)
# Save zip file temporarily
zip_path = "processed_images.zip"
with open(zip_path, 'wb') as f:
f.write(zip_buffer.getvalue())
return zip_path, preview_images
def process_images(single_image, multiple_images, processing_mode):
"""Main processing function based on selected mode"""
if processing_mode == "Single Image":
if single_image is None:
return None, None, None, "Please upload an image first."
try:
result = remove_background_single(single_image)
return result, None, None, "Background removed successfully!"
except Exception as e:
return None, None, None, f"Error processing image: {str(e)}"
else: # Multiple Images
if not multiple_images:
return None, None, None, "Please upload at least one image."
try:
zip_file, preview_images = remove_background_multiple(multiple_images)
if zip_file and preview_images:
return None, preview_images, zip_file, f"Processed {len(multiple_images)} images successfully! Download the zip file to get all results."
else:
return None, None, None, "No images were processed successfully."
except Exception as e:
return None, None, None, f"Error processing images: {str(e)}"
# Create Gradio interface
with gr.Blocks(title="Background Removal Tool", theme=gr.themes.Default()) as app:
gr.Markdown(
"""
# 🖼️ Background Removal Tool
Upload your images and get them back with transparent backgrounds!
**Choose your mode:**
- **Single Image**: Upload one image and preview the result
- **Multiple Images**: Upload multiple images and download them as a zip file
"""
)
with gr.Row():
processing_mode = gr.Radio(
choices=["Single Image", "Multiple Images"],
value="Single Image",
label="Processing Mode"
)
with gr.Row():
with gr.Column():
# Single image input (visible by default)
single_image_input = gr.File(
label="Upload Single Image",
file_types=["image"],
visible=True
)
# Multiple images input (hidden by default)
multiple_images_input = gr.File(
label="Upload Multiple Images",
file_count="multiple",
file_types=["image"],
visible=False
)
process_btn = gr.Button("Remove Background", variant="primary", size="lg")
with gr.Column():
# Output for single image
single_output = gr.Image(
label="Result",
visible=True
)
# Output for multiple images
multiple_output_gallery = gr.Gallery(
label="Preview (first 5 images)",
visible=False,
columns=3,
rows=2,
height="auto"
)
download_file = gr.File(
label="Download All Processed Images",
visible=False
)
status_message = gr.Textbox(label="Status", interactive=False)
# Function to toggle visibility based on mode
def toggle_inputs(mode):
if mode == "Single Image":
return (
gr.update(visible=True), # single_image_input
gr.update(visible=False), # multiple_images_input
gr.update(visible=True), # single_output
gr.update(visible=False), # multiple_output_gallery
gr.update(visible=False) # download_file
)
else:
return (
gr.update(visible=False), # single_image_input
gr.update(visible=True), # multiple_images_input
gr.update(visible=False), # single_output
gr.update(visible=True), # multiple_output_gallery
gr.update(visible=True) # download_file
)
# Toggle inputs when mode changes
processing_mode.change(
fn=toggle_inputs,
inputs=[processing_mode],
outputs=[single_image_input, multiple_images_input, single_output, multiple_output_gallery, download_file]
)
# Process images when button is clicked
process_btn.click(
fn=process_images,
inputs=[single_image_input, multiple_images_input, processing_mode],
outputs=[single_output, multiple_output_gallery, download_file, status_message]
)
# Remove the separate gallery update function since we're handling it directly now
gr.Markdown(
"""
### 📝 Instructions:
1. Choose your processing mode (Single or Multiple images)
2. Upload your image(s) - supports PNG, JPG, JPEG formats
3. Click "Remove Background" to process
4. For single images: preview the result directly
5. For multiple images: download the zip file containing all processed images
### ⚡ Features:
- Automatic background removal using AI
- Support for batch processing
- Transparent PNG output
- Easy download of results
"""
)
if __name__ == "__main__":
app.launch() |