Update app.py

app.py

@@ -173,7 +173,7 @@ def generate_image_openai(
         "n": n_images,
     }
 
-    # Align with API error: supported values are low, medium, high, auto
+    # Allowed values from API: low, medium, high, auto
     allowed_qualities = {"low", "medium", "high", "auto"}
     if quality in allowed_qualities:
         kwargs["quality"] = quality
@@ -225,9 +225,8 @@ def generate_image_google(
     seed: Optional[int],
 ) -> List[Image.Image]:
     """
-    This assumes a Google / Gemini image-capable model that returns
-    inline image bytes in the response. If your Nano-Banana model behaves
-    differently, tweak this function.
+    Uses a Google / Gemini image-capable model that returns inline image bytes.
+    If your Nano-Banana model behaves differently, adjust this function.
     """
     genai = _configure_google(api_key)
     model = genai.GenerativeModel(google_image_model)
@@ -409,6 +408,48 @@ def run_generation(
         return f"Error during generation: {e}", [], "\n".join(debug_lines)
 
 
+# -----------------------
+# Starter prompts helper
+# -----------------------
+
+STARTER_PROMPTS = {
+    "None": "",
+    "ZEN Glass Arena Card": (
+        "ZEN AI Arena holographic credential card showcasing a youth AI pioneer, "
+        "glassmorphism border, quantum prism edges, subtle neon glow, "
+        "nameplate and role, dark control-room background"
+    ),
+    "AI Pioneer Infographic": (
+        "Infographic showing the AI Pioneer Program journey from idea to deployment, "
+        "timeline of modules, icons for coding, Hugging Face Spaces, and blockchain credentials, "
+        "Palantir-style layout with three main columns"
+    ),
+    "Youth AI Literacy Poster": (
+        "Poster inviting teens to join the AI Pioneer Program, diverse students, laptops, "
+        "cloud-hosted AI agents floating as holograms, bold headline and simple CTA, "
+        "modern but serious aesthetic"
+    ),
+    "Vanguard Systems Blueprint": (
+        "Blueprint diagram of the ZEN ecosystem: AI Pioneer Program, ZEN Arena, "
+        "blockchain credentials, ZEN dashboards, arrows showing data flow and automations, "
+        "technical engineering style"
+    ),
+    "Instructor Training Card": (
+        "Training card for ZEN Vanguard instructors with modules listed, clean UI, "
+        "minimal layout, white card on dark background, subtle gradient border, "
+        "space for QR code and URL"
+    ),
+}
+
+
+def load_starter_prompt(choice: str) -> str:
+    return STARTER_PROMPTS.get(choice, "")
+
+
+def clear_outputs():
+    return "", [], ""
+
+
 # -----------------------
 # UI
 # -----------------------
@@ -416,13 +457,13 @@ def run_generation(
 with gr.Blocks() as demo:
     gr.Markdown(
         """
-# 🧬 ZEN Omni Studio — Text • Images • Infographics
+# 🧬 ZEN Module 2 Section 2.11 — Omni Studio
 
-Multi-provider creator for the ZEN ecosystem:
+A multi-provider creator used in the **ZEN Vanguard Program**.
 
-- 🔑 Bring your own OpenAI + Google (Gemini / Nano-Banana / Nano-Banana-Pro) keys  
+- 🔑 Bring your own **OpenAI** and **Google (Gemini / Nano-Banana)** keys  
 - 🎨 Generate **images** with presets + fine-grained controls  
-- 🧠 Generate **text** and **infographic specs** for ZEN dashboards, posters, and more  
+- 🧠 Generate **text** and **infographic specs** for ZEN dashboards, cards, and posters  
         """
     )
 
@@ -453,6 +494,26 @@ Multi-provider creator for the ZEN ecosystem:
                 label="Primary Provider",
             )
 
+            with gr.Accordion("Starter Prompts (ZEN Vanguard)", open=False):
+                starter_choice = gr.Dropdown(
+                    list(STARTER_PROMPTS.keys()),
+                    value="None",
+                    label="Choose a starter prompt",
+                )
+                load_prompt_btn = gr.Button("Load Starter Prompt")
+
+                gr.Markdown(
+                    """
+Use starter prompts to quickly explore:
+
+- **ZEN Glass Arena Card** — holographic card-style image  
+- **AI Pioneer Infographic** — program journey and outcomes  
+- **Youth AI Literacy Poster** — outreach poster for teens  
+- **Vanguard Systems Blueprint** — systems-thinking diagram  
+- **Instructor Training Card** — card UI for trainers
+                    """
+                )
+
             base_prompt = gr.Textbox(
                 label="Main Prompt",
                 lines=5,
@@ -539,7 +600,9 @@ Multi-provider creator for the ZEN ecosystem:
                 placeholder="Used internally as default text model.",
             )
 
-            generate_btn = gr.Button("🚀 Generate", variant="primary")
+            with gr.Row():
+                generate_btn = gr.Button("🚀 Generate", variant="primary")
+                clear_btn = gr.Button("Clear Outputs")
 
         with gr.Column():
             gr.Markdown("### 📜 Text / Spec Output")
@@ -558,6 +621,7 @@ Multi-provider creator for the ZEN ecosystem:
                 lines=12,
             )
 
+    # Wire up callbacks
     generate_btn.click(
         fn=run_generation,
         inputs=[
@@ -580,5 +644,17 @@ Multi-provider creator for the ZEN ecosystem:
         outputs=[text_output, image_gallery, debug_output],
     )
 
+    load_prompt_btn.click(
+        fn=load_starter_prompt,
+        inputs=[starter_choice],
+        outputs=[base_prompt],
+    )
+
+    clear_btn.click(
+        fn=clear_outputs,
+        inputs=[],
+        outputs=[text_output, image_gallery, debug_output],
+    )
+
 if __name__ == "__main__":
     demo.launch()