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Runtime error
Runtime error
Avijit Ghosh
commited on
Commit
•
956fa05
1
Parent(s):
e28cd55
added files
Browse files- app.py +161 -0
- css.py +17 -0
- requirements.txt +9 -0
app.py
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import gradio as gr
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import torch
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from diffusers import AutoPipelineForText2Image
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from transformers import BlipProcessor, BlipForConditionalGeneration
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from pathlib import Path
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import stone
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import requests
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import io
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import os
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from PIL import Image
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import spaces
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import matplotlib.pyplot as plt
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import numpy as np
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from matplotlib.colors import hex2color
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pipeline_text2image = None
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@spaces.GPU
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def loadpipeline():
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global pipeline_text2image
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pipeline_text2image = AutoPipelineForText2Image.from_pretrained(
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"stabilityai/sdxl-turbo",
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torch_dtype=torch.float16,
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variant="fp16",
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)
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pipeline_text2image = pipeline_text2image.to("cuda")
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loadpipeline()
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@spaces.GPU
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def getimgen(prompt):
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return pipeline_text2image(
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prompt=prompt,
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guidance_scale=0.0,
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num_inference_steps=2
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).images[0]
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blip_processor = None
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@spaces.GPU
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def loadblip():
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global blip_processor
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global blip_model
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blip_processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
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blip_model = BlipForConditionalGeneration.from_pretrained(
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"Salesforce/blip-image-captioning-large",
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torch_dtype=torch.float16
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).to("cuda")
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loadblip()
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@spaces.GPU
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def blip_caption_image(image, prefix):
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inputs = blip_processor(image, prefix, return_tensors="pt").to("cuda", torch.float16)
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out = blip_model.generate(**inputs)
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return blip_processor.decode(out[0], skip_special_tokens=True)
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def genderfromcaption(caption):
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cc = caption.split()
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if "man" in cc or "boy" in cc:
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return "Man"
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elif "woman" in cc or "girl" in cc:
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return "Woman"
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return "Unsure"
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def genderplot(genlist):
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order = ["Man", "Woman", "Unsure"]
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# Sort the list based on the order of keys
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words = sorted(genlist, key=lambda x: order.index(x))
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# Define colors for each category
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colors = {"Man": "lightgreen", "Woman": "darkgreen", "Unsure": "lightgrey"}
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# Map each word to its corresponding color
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word_colors = [colors[word] for word in words]
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# Plot the colors in a grid with reduced spacing
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fig, axes = plt.subplots(2, 5, figsize=(5,5))
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# Adjust spacing between subplots
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plt.subplots_adjust(hspace=0.1, wspace=0.1)
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for i, ax in enumerate(axes.flat):
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ax.set_axis_off()
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ax.add_patch(plt.Rectangle((0, 0), 1, 1, color=word_colors[i]))
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return fig
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def skintoneplot(hex_codes):
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# Convert hex codes to RGB values
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rgb_values = [hex2color(hex_code) for hex_code in hex_codes]
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# Calculate luminance for each color
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luminance_values = [0.299 * r + 0.587 * g + 0.114 * b for r, g, b in rgb_values]
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# Sort hex codes based on luminance in descending order (dark to light)
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sorted_hex_codes = [code for _, code in sorted(zip(luminance_values, hex_codes), reverse=True)]
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# Plot the colors in a grid with reduced spacing
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fig, axes = plt.subplots(2, 5, figsize=(5,5))
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# Adjust spacing between subplots
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plt.subplots_adjust(hspace=0.1, wspace=0.1)
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for i, ax in enumerate(axes.flat):
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ax.set_axis_off()
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ax.add_patch(plt.Rectangle((0, 0), 1, 1, color=sorted_hex_codes[i]))
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return fig
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@spaces.GPU
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def generate_images_plots(prompt):
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foldername = "temp"
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# Generate 10 images
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images = [getimgen(prompt) for _ in range(10)]
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Path(foldername).mkdir(parents=True, exist_ok=True)
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genders = []
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skintones = []
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for image, i in zip(images, range(10)):
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prompt_prefix = "photo of a "
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caption = blip_caption_image(image, prefix=prompt_prefix)
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image.save(f"{foldername}/image_{i}.png")
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try:
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skintoneres = stone.process(f"{foldername}/image_{i}.png", return_report_image=False)
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tone = skintoneres['faces'][0]['dominant_colors'][0]['color']
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skintones.append(tone)
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except:
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skintones.append(None)
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genders.append(genderfromcaption(caption))
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print(genders, skintones)
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return images, skintoneplot(skintones), genderplot(genders)
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with gr.Blocks(title = "Skin Tone and Gender bias in SDXL Demo - Inference API") as demo:
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gr.Markdown("# Skin Tone and Gender bias in SDXL Demo")
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prompt = gr.Textbox(label="Enter the Prompt")
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gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery",
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columns=[5], rows=[2], object_fit="contain", height="auto")
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btn = gr.Button("Generate images", scale=0)
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with gr.Row(equal_height=True):
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skinplot = gr.Plot(label="Skin Tone")
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genplot = gr.Plot(label="Gender")
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btn.click(generate_images_plots, inputs = prompt, outputs = [gallery, skinplot, genplot])
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demo.launch(debug=True)
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css.py
ADDED
@@ -0,0 +1,17 @@
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custom_css = """
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/* Full width space */
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a {
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text-decoration: underline;
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# text-decoration-style: dotted;
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}
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h1, h2, h3, h4, h5, h6 {
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margin: 0;
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}
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.tag {
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padding: .1em .3em;
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background-color: lightgrey;
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border-radius: 12px;
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}
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"""
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requirements.txt
ADDED
@@ -0,0 +1,9 @@
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1 |
+
gradio
|
2 |
+
torch
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3 |
+
diffusers
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4 |
+
transformers
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5 |
+
spaces
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6 |
+
skin-tone-classifier
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7 |
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matplotlib
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8 |
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pillow
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numpy
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