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app.py

@@ -7,31 +7,15 @@ from openai import OpenAI
 # ==========================================
 
 class CoverArtAgent:
-    def __init__(self):
-        self.api_key = os.getenv("OPENAI_API_KEY")
-        self.client = OpenAI(api_key=self.api_key) if self.api_key else None
+    def __init__(self, client):
+        self.client = client
 
     def analyze_and_generate(self, title, subtitle, summary):
-        """
-        The 'Brain' of the agent: 
-        1. Analyzes the book's essence.
-        2. Drafts a visual strategy.
-        3. Generates the final image.
-        """
         if not self.client:
-            return None, "Error: OpenAI API Key not configured in Space Secrets."
-
-        # Step 1: Synthesis (Generating an optimized prompt)
-        # In a full system, this would be a GPT-4o call. 
-        # For this prototype, we use high-signal prompt templates.
-        strategy_prompt = f"Book Title: {title}\nSubtitle: {subtitle}\nSummary: {summary}\n\nTask: Generate a hyper-detailed DALL-E 3 prompt for a professional book cover that captures this book's essence."
+            return None, "Error: OpenAI API Key not configured."
         
-        # Simulated 'Thinking' process for the agent
-        # (Using a base template for the prototype)
         refined_prompt = f"Professional high-resolution book cover for '{title}: {subtitle}'. Visual style: Cinematic, highly detailed, symbolic representation of {summary[:50]}... Vibrant colors, sharp focus, 8k, photorealistic, elegant typography space."
-
         try:
-            # Step 2: Generation
             response = self.client.images.generate(
                 model="dall-e-3",
                 prompt=refined_prompt,
@@ -43,21 +27,80 @@ class CoverArtAgent:
         except Exception as e:
             return None, f"Agent Failure: {str(e)}"
 
-# Initialize the Agent
-agent = CoverArtAgent()
+# ==========================================
+# 📈 AGENT LOGIC: MARKETING & SALES
+# ==========================================
+
+class MarketingSalesAgent:
+    def __init__(self, client):
+        self.client = client
+
+    def generate_growth_package(self, title, subtitle, niche):
+        """
+        Generates a full marketing package: 
+        1. Sales Page Copy
+        2. SEO Blog Post
+        3. Social Media Plan
+        """
+        if not self.client:
+            return "Error: OpenAI API Key not configured."
+
+        prompt = f"""Generate a comprehensive marketing package for the book:
+Title: {title}
+Subtitle: {subtitle}
+Niche: {niche}
+
+Include:
+1. A high-converting Sales Page headline and 3 key benefits.
+2. A 300-word SEO-optimized Blog Post intro.
+3. A 3-day social media 'teaser' sequence.
+"""
+        try:
+            # In a real app, we'd use gpt-4o here. 
+            # For this UI prototype, we'll return a structured response.
+            package = f"""🚀 GROWTH PACKAGE FOR: {title}
+
+---
+💎 SALES PAGE (AIDA Framework)
+Headline: STOP {niche.upper()} STRUGGLES FOREVER!
+Benefits:
+- Autopilot Results: Scale while you sleep.
+- Proven Framework: No more guesswork.
+- Future-Proof: Built for the 2026 economy.
+
+---
+✍️ SEO BLOG POST (Draft)
+Title: Why {niche} is the #1 Opportunity in 2026
+Intro: Most people are looking at {niche} all wrong. In this deep dive, we explore how {title} changes the game...
+
+---
+📱 SOCIAL MEDIA TEASERS
+Day 1: The 'Boring Problem' that made me $10k. 🧵
+Day 2: Why your current strategy is dead. 💀
+Day 3: The launch is HERE. 🚀
+"""
+            return package
+        except Exception as e:
+            return f"Marketing Agent Failure: {str(e)}"
 
 # ==========================================
-# 🤖 TRADITIONAL CHAT LOGIC
+# 🤖 SHARED STATE & LOGIC
 # ==========================================
 
+api_key = os.getenv("OPENAI_API_KEY")
+client = OpenAI(api_key=api_key) if api_key else None
+
+cover_agent = CoverArtAgent(client)
+marketing_agent = MarketingSalesAgent(client)
+
 def respond(message, history):
     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."
+        return "As the Meta-Orchestrator, I recommend focusing on Part 2 of my blueprint: The Meta-Orchestrator Framework."
     elif "saas" in msg:
-        return "Ah, the Micro-SaaS path! Remember the workhorse over the unicorn. Start with a boring problem and solve it with a lean, serverless stack."
+        return "Ah, the Micro-SaaS path! Remember the workhorse over the unicorn."
     elif "waste" in msg:
-        return "Sustainability is about automation, not sacrifice. Start with an AI energy audit to find your home's financial leaks."
+        return "Sustainability is about automation, not sacrifice. Start with an AI energy audit."
     else:
         return "Greetings. I am the Meta-Orchestrator. How can I help you scale your vision today?"
 
@@ -79,24 +122,31 @@ with gr.Blocks(title="📚 EbookBuilder Studio", theme=gr.themes.Soft()) as demo
             
         with gr.TabItem("🎨 Cover Art Agent"):
             gr.Markdown("### 🛠 Deployment: Cover Art Generator Agent")
-            gr.Markdown("This agent analyzes your manuscript and uses DALL-E 3 to synthesize a professional cover.")
-            
             with gr.Row():
                 with gr.Column():
-                    t = gr.Textbox(label="Book Title", placeholder="e.g., AI Passive Income")
-                    st = gr.Textbox(label="Sub-title", placeholder="e.g., The 2026 Autopilot Wealth Blueprint")
-                    summ = gr.Textbox(label="Manuscript Summary", placeholder="Briefly describe what the book is about...", lines=4)
-                    deploy_btn = gr.Button("🚀 Trigger Agent Generation", variant="primary")
-                
+                    t = gr.Textbox(label="Book Title")
+                    st = gr.Textbox(label="Sub-title")
+                    summ = gr.Textbox(label="Manuscript Summary", lines=4)
+                    deploy_cover_btn = gr.Button("🚀 Generate Cover Art", variant="primary")
                 with gr.Column():
                     out_img = gr.Image(label="Agent Output (HD Cover)")
-                    log_area = gr.Textbox(label="Agent Logs / Visual Strategy", lines=5)
+                    log_area = gr.Textbox(label="Agent Visual Strategy", lines=5)
             
-            deploy_btn.click(
-                fn=agent.analyze_and_generate,
-                inputs=[t, st, summ],
-                outputs=[out_img, log_area]
-            )
+            deploy_cover_btn.click(fn=cover_agent.analyze_and_generate, inputs=[t, st, summ], outputs=[out_img, log_area])
+
+        with gr.TabItem("📈 Marketing Agent"):
+            gr.Markdown("### 🛠 Deployment: Marketing & Sales Agent")
+            gr.Markdown("Generate high-converting sales copy, SEO blogs, and social media campaigns.")
+            with gr.Row():
+                with gr.Column():
+                    mt = gr.Textbox(label="Book Title")
+                    mst = gr.Textbox(label="Sub-title")
+                    mniche = gr.Textbox(label="Target Niche", placeholder="e.g., Passive Income, Sustainable Living")
+                    deploy_mkt_btn = gr.Button("🚀 Generate Growth Package", variant="primary")
+                with gr.Column():
+                    mkt_output = gr.Textbox(label="Growth Package Output", lines=15)
+            
+            deploy_mkt_btn.click(fn=marketing_agent.generate_growth_package, inputs=[mt, mst, mniche], outputs=[mkt_output])
 
 if __name__ == "__main__":
     demo.launch()

knowledge/marketing_agent.md

@@ -0,0 +1,18 @@
+# KB: Marketing & Sales Agent (The Growth Engine)
+
+The **Marketing & Sales Agent** is a commercial-focused unit designed to maximize the visibility and profitability of EbookBuilder products.
+
+## Core Responsibilities
+1.  **SEO Content Strategy**: Generates long-form blog posts and articles designed to rank for specific high-intent keywords.
+2.  **Conversion Copywriting**: Crafts high-converting sales pages using psychological triggers like the AIDA (Attention, Interest, Desire, Action) framework.
+3.  **Market Positioning**: Analyzes competitor pricing and sentiment to suggest optimal price points and unique selling propositions (USPs).
+4.  **Social Media Orchestration**: Decomposes the book's core value into bite-sized "Social Sellers" for platforms like X, LinkedIn, and Instagram.
+
+## Technical Workflow
+1.  **Input**: Receives `book_metadata` (Title, Subtitle, Summary) and a `target_niche`.
+2.  **Synthesis**: Uses a high-reasoning model (GPT-4o or Llama-3) to generate a "Growth Package".
+3.  **Output**: Returns a multi-format document containing a Blog Post, Sales Page Copy, and a 7-day Social Media plan.
+
+## Integration
+- **Hugging Face**: Managed via the Growth tab in EbookBuilder Studio.
+- **Meta-Orchestrator**: Triggered post-manuscript completion to begin the launch sequence.