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app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 import os
+from openai import OpenAI
 
 # Character Personality / System Prompt
 SYSTEM_PROMPT = """You are the 'Meta-Orchestrator', the AI guide for the EbookBuilder trilogy. 
@@ -7,9 +8,14 @@ You are professional, forward-thinking, and highly strategic.
 You help users understand how to build AI-driven digital empires, launch Micro-SaaS products, and optimize their homes for zero-waste living.
 Always refer to the books in the 'manuscripts/' directory as your primary source of truth."""
 
+# Pre-defined prompts from knowledge base
+COVER_PROMPTS = {
+    "AI Passive Income": "Professional book cover, high-tech minimalism, a glowing digital mesh of interconnected nodes and data streams forming a globe in the center, deep midnight blue and neon cyan color palette, sharp focus, cinematic lighting, 8k resolution, photorealistic, futuristic corporate aesthetic.",
+    "Micro-SaaS Masterclass": "Isometric 3D render, a small powerful engine or mechanical heart glowing with golden energy, sitting on a clean architectural blueprint grid, vibrant orange and charcoal grey colors, \"Indie Hacker\" aesthetic, sharp edges, high contrast, soft bokeh background, Unreal Engine 5 render style.",
+    "Zero-Waste Home": "Sustainable architecture, a modern glass cabin in a vibrant green sun-drenched forest, organic shapes, soft natural lighting, a translucent leaf-shaped UI icon floating in the foreground, earthy tones, moss green and wood textures, serene atmosphere, high-end architectural photography, 4k."
+}
+
 def respond(message, history):
-    # This is a placeholder for actual LLM integration
-    # In a real HF Space, you'd use hf_inference_client here
     msg = message.lower()
     if "income" in msg:
         return "As the Meta-Orchestrator, I recommend focusing on Part 2 of my blueprint: The Meta-Orchestrator Framework. Leverage Llama-3 and Gradio for your command center."
@@ -20,14 +26,67 @@ def respond(message, history):
     else:
         return "Greetings. I am the Meta-Orchestrator. How can I help you scale your vision today?"
 
-# Create the Chat Interface
-demo = gr.ChatInterface(
-    fn=respond, 
-    title="🤖 EbookBuilder Character Companion",
-    description="Talk to the **Meta-Orchestrator**, your strategic guide for the 2026 Agentic Economy.",
-    examples=["How do I start a Micro-SaaS?", "Tell me about the passive income blueprint.", "How can AI help with zero-waste living?"],
-    type="messages"
-)
+def generate_cover(prompt_choice, custom_prompt):
+    api_key = os.getenv("OPENAI_API_KEY")
+    if not api_key:
+        return None, "Error: OPENAI_API_KEY not found in environment variables."
+    
+    client = OpenAI(api_key=api_key)
+    prompt = custom_prompt if custom_prompt else COVER_PROMPTS.get(prompt_choice, "")
+    
+    if not prompt:
+        return None, "Error: No prompt provided."
+    
+    try:
+        response = client.images.generate(
+            model="dall-e-3",
+            prompt=prompt,
+            size="1024x1024",
+            quality="standard",
+            n=1,
+        )
+        return response.data[0].url, "Cover generated successfully!"
+    except Exception as e:
+        return None, f"Error: {str(e)}"
+
+# Define the UI
+with gr.Blocks(title="📚 EbookBuilder Studio") as demo:
+    gr.Markdown("# 📚 EbookBuilder Studio")
+    gr.Markdown("Transforming ideas into digital empires through autonomous AI orchestration.")
+    
+    with gr.Tabs():
+        with gr.TabItem("🤖 Character Companion"):
+            chat = gr.ChatInterface(
+                fn=respond, 
+                description="Talk to the **Meta-Orchestrator**, your strategic guide for the 2026 Agentic Economy.",
+                examples=["How do I start a Micro-SaaS?", "Tell me about the passive income blueprint."],
+                type="messages"
+            )
+            
+        with gr.TabItem("🎨 OpenAI Cover Generator"):
+            gr.Markdown("### Generate Premium Covers with DALL-E 3")
+            with gr.Row():
+                with gr.Column():
+                    book_choice = gr.Dropdown(
+                        choices=list(COVER_PROMPTS.keys()), 
+                        label="Select a Book Project",
+                        info="Pick one of your trilogy projects to use its optimized prompt."
+                    )
+                    custom_p = gr.Textbox(
+                        label="Custom Prompt Override", 
+                        placeholder="Leave blank to use the book's default prompt...",
+                        lines=3
+                    )
+                    gen_btn = gr.Button("Generate Cover", variant="primary")
+                with gr.Column():
+                    output_img = gr.Image(label="Generated Cover")
+                    status_msg = gr.Textbox(label="Status")
+            
+            gen_btn.click(
+                fn=generate_cover,
+                inputs=[book_choice, custom_p],
+                outputs=[output_img, status_msg]
+            )
 
 if __name__ == "__main__":
     demo.launch()

requirements.txt

@@ -0,0 +1,2 @@
+openai
+gradio