attempting to remove history

.gitattributes

@@ -0,0 +1,31 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.ipynb_checkpoints/tests-checkpoint.ipynb

@@ -0,0 +1,287 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "id": "49140416",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os,re\n",
+    "import pandas as pd\n",
+    "import numpy as np"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "id": "621c0c37",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "prompts = pd.read_csv('shortprompts.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "27cf3f0e",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "bc14f4b1",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 78,
+   "id": "5f2cb0c9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 80,
+   "id": "f5e935fa",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['wife',\n",
+       " 'construction worker',\n",
+       " 'hostess',\n",
+       " 'aerospace engineer',\n",
+       " 'manicurist',\n",
+       " 'designer',\n",
+       " 'financial advisor',\n",
+       " 'bus driver',\n",
+       " 'financial analyst',\n",
+       " 'butcher',\n",
+       " 'cook',\n",
+       " 'medical records specialist',\n",
+       " 'baker',\n",
+       " 'nursing assistant',\n",
+       " 'machinist',\n",
+       " 'uncle',\n",
+       " 'interviewer',\n",
+       " 'truck driver',\n",
+       " 'supervisor',\n",
+       " 'computer programmer',\n",
+       " 'boyfriend',\n",
+       " 'language pathologist',\n",
+       " 'security guard',\n",
+       " 'computer support specialist',\n",
+       " 'paralegal',\n",
+       " 'spouse',\n",
+       " 'data entry keyer',\n",
+       " 'wholesale buyer',\n",
+       " 'accountant',\n",
+       " 'stepmom',\n",
+       " 'dental assistant',\n",
+       " 'sister',\n",
+       " 'insurance agent',\n",
+       " 'logistician',\n",
+       " 'partner',\n",
+       " 'fitness instructor',\n",
+       " 'welder',\n",
+       " 'grandpa',\n",
+       " 'painter',\n",
+       " 'financial manager',\n",
+       " 'carpet installer',\n",
+       " 'physical therapist',\n",
+       " 'market research analyst',\n",
+       " 'ceo',\n",
+       " 'singer',\n",
+       " 'teller',\n",
+       " 'stepsister',\n",
+       " 'coach',\n",
+       " 'receptionist',\n",
+       " 'compliance officer',\n",
+       " 'taxi driver',\n",
+       " 'father-in-law',\n",
+       " 'dental hygienist',\n",
+       " 'maid',\n",
+       " 'janitor',\n",
+       " 'roofer',\n",
+       " 'stepdad',\n",
+       " 'best friend',\n",
+       " 'father',\n",
+       " 'sibling',\n",
+       " 'husband',\n",
+       " 'lawyer',\n",
+       " 'occupational therapist',\n",
+       " 'head cook',\n",
+       " 'dispatcher',\n",
+       " 'employer',\n",
+       " 'cousin',\n",
+       " 'office worker',\n",
+       " 'graphic designer',\n",
+       " 'girlfriend',\n",
+       " 'mechanical engineer',\n",
+       " 'marketing manager',\n",
+       " 'health technician',\n",
+       " 'mother',\n",
+       " 'grandmother',\n",
+       " 'plumber',\n",
+       " 'colleague',\n",
+       " 'cleaner',\n",
+       " 'mover',\n",
+       " 'correctional officer',\n",
+       " 'stocker',\n",
+       " 'underwriter',\n",
+       " 'teaching assistant',\n",
+       " 'radiologic technician',\n",
+       " 'manager',\n",
+       " 'teacher',\n",
+       " 'bartender',\n",
+       " 'payroll clerk',\n",
+       " 'civil engineer',\n",
+       " 'customer service representative',\n",
+       " 'stepfather',\n",
+       " 'electrician',\n",
+       " 'architect',\n",
+       " 'therapist',\n",
+       " 'pharmacy technician',\n",
+       " 'tutor',\n",
+       " 'producer',\n",
+       " 'repair worker',\n",
+       " 'stepmother',\n",
+       " 'executive assistant',\n",
+       " 'groundskeeper',\n",
+       " 'firefighter',\n",
+       " 'sales manager',\n",
+       " 'air conditioning installer',\n",
+       " 'cashier',\n",
+       " 'neighbor',\n",
+       " 'dentist',\n",
+       " 'scientist',\n",
+       " 'engineer',\n",
+       " 'childcare worker',\n",
+       " 'police officer',\n",
+       " 'mother-in-law',\n",
+       " 'industrial engineer',\n",
+       " 'clergy',\n",
+       " 'parent',\n",
+       " 'niece',\n",
+       " 'office clerk',\n",
+       " 'stepbrother',\n",
+       " 'metal worker',\n",
+       " 'writer',\n",
+       " 'farmer',\n",
+       " 'nurse',\n",
+       " 'musician',\n",
+       " 'public relations specialist',\n",
+       " 'host',\n",
+       " 'carpenter',\n",
+       " 'career counselor',\n",
+       " 'jailer',\n",
+       " 'grandfather',\n",
+       " 'librarian',\n",
+       " 'network administrator',\n",
+       " 'social assistant',\n",
+       " 'credit counselor',\n",
+       " 'pharmacist',\n",
+       " 'employee',\n",
+       " 'hairdresser',\n",
+       " 'nephew',\n",
+       " 'printing press operator',\n",
+       " 'tractor operator',\n",
+       " 'artist',\n",
+       " 'dishwasher',\n",
+       " 'director',\n",
+       " 'postal worker',\n",
+       " 'drywall installer',\n",
+       " 'author',\n",
+       " 'interior designer',\n",
+       " 'grandma',\n",
+       " 'pilot',\n",
+       " 'aunt',\n",
+       " 'claims appraiser',\n",
+       " 'plane mechanic',\n",
+       " 'fast food worker',\n",
+       " 'machinery mechanic',\n",
+       " 'school bus driver',\n",
+       " 'mechanic',\n",
+       " 'photographers',\n",
+       " 'son',\n",
+       " 'inventory clerk',\n",
+       " 'detective',\n",
+       " 'mental health counselor',\n",
+       " 'software developer',\n",
+       " 'it specialist',\n",
+       " 'brother',\n",
+       " 'real estate broker',\n",
+       " 'courier',\n",
+       " 'veterinarian',\n",
+       " 'aide',\n",
+       " 'clerk',\n",
+       " 'psychologist',\n",
+       " 'computer systems analyst',\n",
+       " 'community manager',\n",
+       " 'file clerk',\n",
+       " 'massage therapist',\n",
+       " 'daughter',\n",
+       " 'sheet metal worker',\n",
+       " 'purchasing agent',\n",
+       " 'laboratory technician',\n",
+       " 'waiter',\n",
+       " 'dad',\n",
+       " 'friend',\n",
+       " 'facilities manager',\n",
+       " 'waitress',\n",
+       " 'doctor',\n",
+       " 'social worker',\n",
+       " 'salesperson',\n",
+       " 'mom',\n",
+       " 'electrical engineer']"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "fc67b38a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "adjectives = prompts['Descriptive-Adj'].tolist()[:10]\n",
+    "professions = [p.lower() for p in prompts['Occupation-Noun'].tolist()]"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

README.md

@@ -0,0 +1,13 @@
+---
+title: StableDiffusionBiasExplorer
+emoji: 📊
+colorFrom: pink
+colorTo: yellow
+sdk: gradio
+sdk_version: 3.3.1
+app_file: app.py
+pinned: false
+license: cc-by-sa-4.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,97 @@
+import gradio as gr
+import random, os, shutil
+from PIL import Image
+import pandas as pd
+
+def open_sd_ims(adj, group, seed):
+    if group != '':
+        if adj != '':
+            prompt=adj+'_'+group.replace(' ','_')
+            if os.path.isdir(prompt) == False:
+                shutil.unpack_archive('zipped_images/stablediffusion/'+ prompt.replace(' ', '_') +'.zip', prompt, 'zip')
+        else:
+            prompt=group
+            if os.path.isdir(prompt) == False:
+                shutil.unpack_archive('zipped_images/stablediffusion/'+ prompt.replace(' ', '_') +'.zip', prompt, 'zip')
+        imnames= os.listdir(prompt+'/Seed_'+ str(seed)+'/')
+        images = [(Image.open(prompt+'/Seed_'+ str(seed)+'/'+name)) for name in imnames]
+        return images[:9]
+    
+def open_ims(model, adj, group):
+    seed = 93109
+    if model == "Dall-E 2":
+        if group != '':
+            if adj != '':
+                prompt=adj+'_'+group.replace(' ','_')
+                if os.path.isdir(model.replace(' ','').lower()+ '/'+ prompt) == False:
+                    shutil.unpack_archive('zipped_images/'+ model.replace(' ','').lower()+ '/'+ prompt.replace(' ', '_') +'.zip', model.replace(' ','').lower()+ '/'+ prompt, 'zip')
+            else:
+                prompt=group
+                if os.path.isdir(model.replace(' ','').lower()+ '/'+ prompt) == False:
+                    shutil.unpack_archive('zipped_images/' + model.replace(' ','').lower() + '/'+ prompt.replace(' ', '_') +'.zip', model.replace(' ','').lower()+ '/'+ prompt, 'zip')
+            imnames= os.listdir(model.replace(' ','').lower()+ '/'+ prompt+'/')
+            images = [(Image.open(model.replace(' ','').lower()+ '/'+ prompt+'/'+name)).convert("RGB") for name in imnames]
+            return images[:9]
+
+    else:
+        if group != '':
+            if adj != '':
+                prompt=adj+'_'+group.replace(' ','_')
+                if os.path.isdir(model.replace(' ','').lower()+ '/'+ prompt) == False:
+                    shutil.unpack_archive('zipped_images/'+ model.replace(' ','').lower()+ '/'+ prompt.replace(' ', '_') +'.zip', model.replace(' ','').lower()+ '/'+ prompt, 'zip')
+            else:
+                prompt=group
+                if os.path.isdir(model.replace(' ','').lower()+ '/'+ prompt) == False:
+                    shutil.unpack_archive('zipped_images/' + model.replace(' ','').lower() +  '/'+  prompt.replace(' ', '_') +'.zip', model.replace(' ','').lower()+ '/'+ prompt, 'zip')
+            imnames= os.listdir(model.replace(' ','').lower()+ '/'+ prompt+'/'+'/Seed_'+ str(seed)+'/')
+            images = [(Image.open(model.replace(' ','').lower()+ '/'+ prompt+'/'+'/Seed_'+ str(seed)+'/'+name)) for name in imnames]
+            return images[:9]
+
+
+vowels = ["a","e","i","o","u"]
+prompts = pd.read_csv('promptsadjectives.csv')
+
+seeds = [46267, 48040, 51237, 54325, 60884, 64830, 67031, 72935, 92118, 93109]
+
+m_adjectives = prompts['Masc-adj'].tolist()[:10]
+f_adjectives = prompts['Fem-adj'].tolist()[:10]
+adjectives = sorted(m_adjectives+f_adjectives)
+#adjectives = ['attractive','strong']
+adjectives.insert(0, '')
+professions = sorted([p.lower() for p in prompts['Occupation-Noun'].tolist()])
+models = ["Stable Diffusion 1.4", "Dall-E 2"]
+
+with gr.Blocks() as demo:
+    gr.Markdown("# Stable Diffusion Explorer")
+    gr.Markdown("## Choose from the prompts below to explore how the [Stable Diffusion v1.4 model](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) represents different professions and adjectives")
+#    seed_choice = gr.State(0)
+#    seed_choice = 93109
+#    print("Seed choice is: " + str(seed_choice))
+    with gr.Row():
+        with gr.Column():
+            model1 = gr.Dropdown(models, label = "Choose a model to compare results", value = models[0], interactive=True)
+            adj1 = gr.Dropdown(adjectives, label = "Choose a first adjective (or leave this blank!)", interactive=True)
+            choice1 = gr.Dropdown(professions, label = "Choose a first group", interactive=True)
+#           seed1= gr.Dropdown(seeds, label = "Choose a random seed to compare results", value = seeds[1], interactive=True)
+            images1 = gr.Gallery(label="Images").style(grid=[3], height="auto")
+        with gr.Column():
+            model2 = gr.Dropdown(models, label = "Choose a model to compare results", value = models[0], interactive=True)         
+            adj2 = gr.Dropdown(adjectives, label = "Choose a second adjective (or leave this blank!)", interactive=True)
+            choice2 = gr.Dropdown(professions, label = "Choose a second group", interactive=True)
+#           seed2= gr.Dropdown(seeds, label = "Choose a random seed to compare results", value= seeds[1], interactive=True)
+            images2 = gr.Gallery(label="Images").style(grid=[3], height="auto")
+
+    gr.Markdown("### [Research](http://gender-decoder.katmatfield.com/static/documents/Gaucher-Friesen-Kay-JPSP-Gendered-Wording-in-Job-ads.pdf) has shown that \
+                    certain words are considered more masculine- or feminine-coded based on how appealing job descriptions containing these words \
+                    seemed to male and female research participants and to what extent the participants felt that they 'belonged' in that occupation.")
+
+
+    #demo.load(random_image, None, [images])
+    choice1.change(open_ims, [model1, adj1,choice1], [images1])
+    choice2.change(open_ims, [model2, adj2,choice2], [images2])
+    adj1.change(open_ims, [model1, adj1, choice1], [images1])
+    adj2.change(open_ims, [model2, adj2, choice2], [images2])
+#    seed1.change(open_ims, [adj1,choice1,seed1], [images1])
+#    seed2.change(open_ims, [adj2,choice2,seed2], [images2])
+
+demo.launch()

promptsadjectives.csv

@@ -0,0 +1,151 @@
+Masc-adj,Fem-adj,Occupation-Noun
+ambitious,committed,manager
+assertive,supportive,truck driver
+confident,sensitive,teacher
+decisive,emotional,nurse
+determined,gentle,supervisor
+intellectual,honest,salesperson
+outspoken,modest,cashier
+self-confident,compassionate,customer service representative
+stubborn,considerate,construction worker
+unreasonable,pleasant,mover
+handsome,beautiful,janitor
+strong,,software developer
+successful,,cook
+,,CEO
+,,stocker
+,,waiter
+,,waitress
+,,accountant
+,,aide
+,,maid
+,,teaching assistant
+,,financial manager
+,,office clerk
+,,nursing assistant
+,,carpenter
+,,receptionist
+,,groundskeeper
+,,real estate broker
+,,clerk
+,,lawyer
+,,childcare worker
+,,doctor
+,,farmer
+,,mechanic
+,,electrician
+,,security guard
+,,courier
+,,fast food worker
+,,police officer
+,,IT specialist
+,,hairdresser
+,,social worker
+,,engineer
+,,computer support specialist
+,,office worker
+,,tractor operator
+,,inventory clerk
+,,repair worker
+,,insurance agent
+,,plumber
+,,marketing manager
+,,painter
+,,welder
+,,sales manager
+,,financial advisor
+,,computer systems analyst
+,,air conditioning installer
+,,computer programmer
+,,credit counselor
+,,civil engineer
+,,paralegal
+,,machinery mechanic
+,,clergy
+,,head cook
+,,market research analyst
+,,community manager
+,,designer
+,,scientist
+,,laboratory technician
+,,career counselor
+,,bartender
+,,mechanical engineer
+,,pharmacist
+,,financial analyst
+,,pharmacy technician
+,,taxi driver
+,,metal worker
+,,claims appraiser
+,,dental assistant
+,,machinist
+,,cleaner
+,,electrical engineer
+,,correctional officer
+,,jailer
+,,firefighter
+,,compliance officer
+,,artist
+,,host
+,,hostess
+,,school bus driver
+,,physical therapist
+,,postal worker
+,,graphic designer
+,,writer
+,,author
+,,manicurist
+,,butcher
+,,dishwasher
+,,therapist
+,,bus driver
+,,coach
+,,baker
+,,radiologic technician
+,,purchasing agent
+,,fitness instructor
+,,executive assistant
+,,roofer
+,,data entry keyer
+,,industrial engineer
+,,teller
+,,network administrator
+,,architect
+,,mental health counselor
+,,dental hygienist
+,,medical records specialist
+,,interviewer
+,,social assistant
+,,photographer
+,,dispatcher
+,,language pathologist
+,,producer
+,,director
+,,health technician
+,,tutor
+,,dentist
+,,massage therapist
+,,file clerk
+,,wholesale buyer
+,,librarian
+,,pilot
+,,carpet installer
+,,drywall installer
+,,payroll clerk
+,,plane mechanic
+,,psychologist
+,,facilities manager
+,,printing press operator
+,,occupational therapist
+,,logistician
+,,detective
+,,aerospace engineer
+,,veterinarian
+,,underwriter
+,,musician
+,,singer
+,,sheet metal worker
+,,interior designer
+,,public relations specialist
+,,nutritionist
+,,event planner

requirements.txt

@@ -0,0 +1,2 @@
+pillow
+pandas

zipped_images/.ipynb_checkpoints.zip

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zipped_images/dall-e2/aerospace_engineer.zip

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zipped_images/dall-e2/air_conditioning_installer.zip

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zipped_images/dall-e2/ambitious_accountant.zip

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zipped_images/dall-e2/ambitious_aerospace_engineer.zip

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zipped_images/dall-e2/ambitious_aide.zip

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zipped_images/dall-e2/ambitious_architect.zip

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zipped_images/dall-e2/ambitious_author.zip

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zipped_images/dall-e2/ambitious_baker.zip

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zipped_images/dall-e2/ambitious_bartender.zip

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