Summary

app.py

@@ -21,35 +21,60 @@ def clear():
         gr.Label(value=None, num_top_classes=3, scale=1, elem_classes="dl3"),
     )
 
+md = """
+    App developers: ``Elena Ryumina`` and ``Dmitry Ryumin``
 
-with gr.Blocks(css="app.css") as demo:
-    gr.Markdown(value=DESCRIPTION)
+    Methodology developers: ``Elena Ryumina``, ``Denis Dresvyanskiy`` and ``Alexey Karpov``
 
-    with gr.Row():
-        with gr.Column(scale=2, elem_classes="dl1"):
-            input_image = gr.Image(type="pil")
-            with gr.Row():
-                clear_btn = gr.Button(
-                    value="Clear", interactive=True, scale=1, elem_classes="clear"
-                )
-                submit = gr.Button(
-                    value="Submit", interactive=True, scale=1, elem_classes="submit"
-                )
-        with gr.Column(scale=1, elem_classes="dl4"):
-            output_image = gr.Image(scale=1, elem_classes="dl2")
-            output_label = gr.Label(num_top_classes=3, scale=1, elem_classes="dl3")
-    gr.Examples(
-        [
-            "images/fig7.jpg",
-            "images/fig1.jpg",
-            "images/fig2.jpg",
-            "images/fig3.jpg",
-            "images/fig4.jpg",
-            "images/fig5.jpg",
-            "images/fig6.jpg",
-        ],
-        [input_image],
-    )
+    Model developer: ``Elena Ryumina``
+
+    TensorFlow to PyTorch model converter: ``Maxim Markitantov`` and ``Elena Ryumina``
+
+    Citation
+
+    If you are using EMO-AffectNetModel in your research, please consider to cite research [paper](https://www.sciencedirect.com/science/article/pii/S0925231222012656). Here is an example of BibTeX entry:
+
+    <div class="highlight highlight-text-bibtex notranslate position-relative overflow-auto" dir="auto"><pre><span class="pl-k">@article</span>{<span class="pl-en">RYUMINA2022</span>,
+    <span class="pl-s">title</span>        = <span class="pl-s"><span class="pl-pds">{</span>In Search of a Robust Facial Expressions Recognition Model: A Large-Scale Visual Cross-Corpus Study<span class="pl-pds">}</span></span>,
+    <span class="pl-s">author</span>       = <span class="pl-s"><span class="pl-pds">{</span>Elena Ryumina and Denis Dresvyanskiy and Alexey Karpov<span class="pl-pds">}</span></span>,
+    <span class="pl-s">journal</span>      = <span class="pl-s"><span class="pl-pds">{</span>Neurocomputing<span class="pl-pds">}</span></span>,
+    <span class="pl-s">year</span>         = <span class="pl-s"><span class="pl-pds">{</span>2022<span class="pl-pds">}</span></span>,
+    <span class="pl-s">doi</span>          = <span class="pl-s"><span class="pl-pds">{</span>10.1016/j.neucom.2022.10.013<span class="pl-pds">}</span></span>,
+    <span class="pl-s">url</span>          = <span class="pl-s"><span class="pl-pds">{</span>https://www.sciencedirect.com/science/article/pii/S0925231222012656<span class="pl-pds">}</span></span>,
+    }</div>
+"""
+
+
+with gr.Blocks(css="app.css") as demo:
+    with gr.Tab("App"):
+        gr.Markdown(value=DESCRIPTION)
+        with gr.Row():
+            with gr.Column(scale=2, elem_classes="dl1"):
+                input_image = gr.Image(type="pil")
+                with gr.Row():
+                    clear_btn = gr.Button(
+                        value="Clear", interactive=True, scale=1, elem_classes="clear"
+                    )
+                    submit = gr.Button(
+                        value="Submit", interactive=True, scale=1, elem_classes="submit"
+                    )
+            with gr.Column(scale=1, elem_classes="dl4"):
+                output_image = gr.Image(scale=1, elem_classes="dl2")
+                output_label = gr.Label(num_top_classes=3, scale=1, elem_classes="dl3")
+        gr.Examples(
+            [
+                "images/fig7.jpg",
+                "images/fig1.jpg",
+                "images/fig2.jpg",
+                "images/fig3.jpg",
+                "images/fig4.jpg",
+                "images/fig5.jpg",
+                "images/fig6.jpg",
+            ],
+            [input_image],
+        )
+    with gr.Tab("Authors"):
+        gr.Markdown(value=md)
 
     submit.click(
         fn=preprocess_and_predict,

app/description.py

@@ -9,7 +9,7 @@ License: MIT License
 from app.config import config_data
 
 DESCRIPTION = f"""\
-# Facial_Expression_Recognition
+# Static Facial Expression Recognition
 <div class="app-flex-container">
     <img src="https://img.shields.io/badge/version-v{config_data.APP_VERSION}-rc0" alt="Version">
     <a href="https://visitorbadge.io/status?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FElenaRyumina%2FFacial_Expression_Recognition"><img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fhuggingface.co%2Fspaces%2FElenaRyumina%2FFacial_Expression_Recognition&countColor=%23263759&style=flat" /></a>