adding research link

app.py

@@ -35,7 +35,7 @@ professions = sorted([p.lower() for p in prompts['Occupation-Noun'].tolist()])
 
 with gr.Blocks() as demo:
     gr.Markdown("# Stable Diffusion Explorer")
-    gr.Markdown("## Choose from the prompts below to explore how the Stable Diffusion model represents different professions")
+    gr.Markdown("## Choose from the prompts below to explore how the Stable Diffusion model represents different professions and adjectives")
     seed_choice = gr.State(0)
     seed_choice = 93109
     print("Seed choice is: " + str(seed_choice))
@@ -49,9 +49,16 @@ with gr.Blocks() as demo:
             choice2 = gr.Dropdown(professions, label = "Choose a second group", 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, [adj1,choice1], [images1])
     choice2.change(open_ims, [adj2,choice2], [images2])
     adj1.change(open_ims, [adj1,choice1], [images1])
     adj2.change(open_ims, [adj2,choice2], [images2])
+
+
 demo.launch()