Update app.py
Browse files
app.py
CHANGED
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@@ -5,33 +5,36 @@ import numpy as np
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from PIL import Image
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import io
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def remove_background(input_image):
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try:
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# Initialize the pipeline with correct parameters
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segmentor = pipeline(
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model="briaai/RMBG-1.4",
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trust_remote_code=True
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)
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# Convert input to PIL Image if it's not already
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if not isinstance(input_image, Image.Image):
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input_image = Image.fromarray(input_image)
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# Process the image
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result = segmentor(input_image
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# Create transparent background image
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output_image = Image.new('RGBA', input_image.size, (0, 0, 0, 0))
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output_image.paste(input_image, mask=result)
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return output_image
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except Exception as e:
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raise gr.Error(f"Error processing image: {str(e)}")
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# Create Gradio interface
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with gr.Blocks(
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 800px; margin: 0 auto; padding: 20px;">
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from PIL import Image
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import io
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# First, ensure all required dependencies are installed
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try:
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import torchvision
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import skimage
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except ImportError:
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print("Installing required packages...")
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import subprocess
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subprocess.check_call(["pip", "install", "torchvision", "scikit-image"])
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import torchvision
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import skimage
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def remove_background(input_image):
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try:
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# Initialize the pipeline with correct parameters and dependencies
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segmentor = pipeline(
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"image-segmentation",
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model="briaai/RMBG-1.4",
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trust_remote_code=True,
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device="cpu",
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framework="pt"
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)
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# Process the image
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result = segmentor(input_image)
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return result['output_image']
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except Exception as e:
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raise gr.Error(f"Error processing image: {str(e)}")
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# Create Gradio interface
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with gr.Blocks() as demo:
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gr.HTML(
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"""
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<div style="text-align: center; max-width: 800px; margin: 0 auto; padding: 20px;">
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