Info tab shows infographic about workflow

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* 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
+*.png filter=lfs diff=lfs merge=lfs -text

app.py

@@ -277,13 +277,14 @@ def initial_greeting(avatar_id):
     return send_message_public(avatar_id, INITIAL_GREETING, [], True)
 
 
-def maybe_generate_image(avatar_id, history, generate_image=True):
+def maybe_generate_image(avatar_id, history, generate_image=True, current_image=None):
+    current_image = current_image or None
     if not generate_image:
-        return gr.update(), generate_image
+        return current_image, generate_image
     if not avatar_id:
-        return gr.update(), generate_image
+        return current_image, generate_image
     if not history:
-        return gr.update(), generate_image
+        return current_image, generate_image
 
     last_user = None
     last_reply = None
@@ -298,11 +299,11 @@ def maybe_generate_image(avatar_id, history, generate_image=True):
     try:
         avatar = get_avatar({"avatar_id": avatar_id, "admin_id": ""})
     except ValueError:
-        return gr.update(), False
+        return current_image, False
 
     portrait_path = _resolve_path(avatar.get("portrait"))
     if not portrait_path or not Path(portrait_path).exists():
-        return gr.update(), False
+        return current_image, False
 
     try:
         prompt = build_prompt(
@@ -318,9 +319,9 @@ def maybe_generate_image(avatar_id, history, generate_image=True):
             record_generated_image(avatar_id, out_path, prompt, timestamp)
             return str(out_path), True
     except Exception:
-        return gr.update(), generate_image
+        return current_image, generate_image
 
-    return gr.update(), generate_image
+    return current_image, generate_image
 
 
 # ----------------------------------------------------
@@ -355,7 +356,7 @@ with gr.Blocks() as ui:
         )
         chat_event.then(
             maybe_generate_image,
-            inputs=[avatar_id_input, state, generate_toggle],
+            inputs=[avatar_id_input, state, generate_toggle, image_display],
             outputs=[image_display, generate_toggle],
         )
 
@@ -366,7 +367,7 @@ with gr.Blocks() as ui:
         )
         send_event.then(
             maybe_generate_image,
-            inputs=[avatar_id_input, state, generate_toggle],
+            inputs=[avatar_id_input, state, generate_toggle, image_display],
             outputs=[image_display, generate_toggle],
         )
 
@@ -384,7 +385,7 @@ with gr.Blocks() as ui:
         )
         initial_load.then(
             maybe_generate_image,
-            inputs=[avatar_id_input, state, generate_toggle],
+            inputs=[avatar_id_input, state, generate_toggle, image_display],
             outputs=[image_display, generate_toggle],
         )
 
@@ -478,6 +479,14 @@ with gr.Blocks() as ui:
             outputs=file_status,
         )
 
+    with gr.Tab("Info"):
+        gr.Markdown("### Avatar MCP Workflow")
+        gr.Image(
+            label="Infographic",
+            value=_resolve_path("avatar_infographic.png"),
+            type="filepath",
+        )
+
 # ----------------------------------------------------
 # Export ASGI app for Hugging Face Spaces
 # ----------------------------------------------------