Update app.py from anycoder

app.py

@@ -1,128 +1,335 @@
 import gradio as gr
 import time
 import random
+import json
+from typing import List, Dict, Tuple
 
-def generate_response(text, creativity, model_type):
+# ==========================================
+# THE AURA CORE: Advanced Intelligence Engine
+# ==========================================
+
+def simulate_aura_processing(task_type: str, inputs: Dict) -> str:
+    """
+    Simulates the sophisticated 'AURA' agent processing complex industry tasks.
+    """
+    time.sleep(1.5) # Simulate deep computation
+    
+    responses = {
+        "production": [
+            "AURA ANALYSIS: Narrative arc optimized for maximum engagement. Visual aesthetics aligned with current market trends.",
+            "AURA PROJECTION: Concept greenlit. Risk assessment: Low. Potential for viral distribution: High.",
+            "AURA SYNTHESIS: Generating production blueprint... Integrating creative vectors with logistical constraints."
+        ],
+        "distribution": [
+            "AURA NETWORK: Platform alignment optimized. Revenue projections exceed quarterly targets by 15%.",
+            "AURA INSIGHT: Audience demographic identified. Tailoring distribution channels for maximum saturation.",
+            "AURA LOGISTICS: Supply chain verified. Global rollout schedule synchronized for peak impact."
+        ],
+        "interaction": [
+            "AURA CONNECT: Sentiment analysis positive. User engagement trajectory is exponential.",
+            "AURA VOICE: Persona calibrated. Tone matches the 'unfiltered' directive.",
+            "AURA RESONANCE: Connection established. Feedback loop active."
+        ]
+    }
+    
+    base = random.choice(responses.get(task_type, ["AURA: Processing..."]))
+    return f"{base}\n\n> **System Status:** OPTIMAL\n> **Creativity Index:** {random.randint(85, 99)}%\n> **Authenticity Score:** MAXIMUM"
+
+def generate_production_blueprint(genre, theme, intensity, duration):
+    """
+    Orchestrates the 'Tapestry' of production planning.
+    """
+    blueprint = {
+        "project_id": f"AURA-{random.randint(1000, 9999)}",
+        "metadata": {
+            "genre": genre,
+            "core_theme": theme,
+            "intensity_level": intensity,
+            "estimated_duration": f"{duration} mins"
+        },
+        "production_phases": [
+            {"phase": "Pre-Visualization", "status": "Complete", "notes": "AI-generated storyboards approved."},
+            {"phase": "Casting & Talent", "status": "In Progress", "notes": "Scouting for 'unfiltered' authenticity."},
+            {"phase": "Principal Photography", "status": "Pending", "notes": "Scheduled based on AURA weather prediction."}
+        ],
+        "aura_recommendation": "Proceed with confidence. The market is ready for this narrative."
+    }
+    return json.dumps(blueprint, indent=2)
+
+def analyze_distribution_strategy(platforms, budget_range, target_demographic):
+    """
+    Analyzes market fit and distribution logistics.
     """
-    Simulates an AI response based on user input and parameters.
+    # Simulate complex data analysis
+    reach = random.randint(100000, 5000000)
+    conversion_rate = random.uniform(2.5, 8.5)
+    
+    strategy = {
+        "strategy_type": "Aggressive Expansion",
+        "target_platforms": platforms,
+        "budget_allocation": budget_range,
+        "projected_reach": f"{reach:,} unique viewers",
+        "conversion_efficiency": f"{conversion_rate}%",
+        "aura_verdict": "High viability detected. Deploy immediately."
+    }
+    return json.dumps(strategy, indent=2)
+
+def aura_chatbot_response(message, history, persona_mode):
+    """
+    The autonomous agent engaging in direct interaction.
     """
-    if not text:
-        return "Please enter some text to analyze."
+    history = history or []
     
-    # Simulate processing time
-    time.sleep(1)
+    # Simulating the "Agent" thinking
+    time.sleep(0.8)
+    
+    if not message:
+        return history
     
     responses = [
-        f"Analyzing '{text}' with {model_type} model...",
-        f"Based on a creativity level of {creativity}, here is a thought: {text.upper()}!",
-        f"Processed input: {text}. The {model_type} model found this interesting.",
-        f"Deep dive into '{text}': It seems you are interested in this topic."
+        f"I sense a resonance in your words. In the {persona_mode} mode, I find your perspective on '{message}' to be fundamentally aligned with our creative vision.",
+        f"The AURA agent processes your input. Authenticity is the currency of the new era. Let us explore the depths of '{message}' together.",
+        f"Unfiltered thoughts lead to unfiltered art. Your contribution regarding '{message}' has been logged in the creative ledger.",
+        "We are weaving a tapestry of connection. Your input acts as a vital thread in this grand design."
     ]
     
-    # Simple logic based on creativity slider
-    if creativity > 0.7:
-        return random.choice(responses) + " (High Creativity Mode)"
-    elif creativity < 0.3:
-        return f"Standard analysis of: {text}"
-    else:
-        return random.choice(responses)
-
-# Gradio 6 Syntax: NO parameters in gr.Blocks() constructor!
+    bot_reply = random.choice(responses)
+    history.append({"role": "user", "content": message})
+    history.append({"role": "assistant", "content": bot_reply})
+    
+    return history
+
+# ==========================================
+# GRADIO 6 APPLICATION ARCHITECTURE
+# ==========================================
+
+# Gradio 6: NO parameters in gr.Blocks() constructor!
 with gr.Blocks() as demo:
     
-    # Header with mandatory link
+    # ==========================================
+    # HEADER SECTION
+    # ==========================================
     gr.HTML("""
-    <div style="text-align: center; margin-bottom: 20px;">
-        <h1>AI Text Processor</h1>
-        <p>
-            <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="text-decoration: none; color: #007bff; font-weight: bold;">
+    <div style="text-align: center; background: linear-gradient(90deg, #1a1a1a 0%, #2d1b4e 100%); padding: 20px; border-radius: 10px; margin-bottom: 20px; color: white;">
+        <h1 style="margin: 0; font-family: 'Helvetica Neue', sans-serif; letter-spacing: 2px;">THE AURA PROJECT</h1>
+        <p style="margin: 5px 0 0 0; opacity: 0.8; font-size: 0.9em;">
+            Autonomous Unified Resource Agent | Redefining Creative Landscapes
+        </p>
+        <div style="margin-top: 10px;">
+            <a href="https://huggingface.co/spaces/akhaliq/anycoder" target="_blank" style="text-decoration: none; color: #ff4d94; font-weight: bold;">
                 Built with anycoder
             </a>
-        </p>
+        </div>
     </div>
     """)
     
-    gr.Markdown("Enter text below to generate a simulated AI response. Adjust parameters to change the output style.")
+    gr.Markdown("""
+    ### 🚀 The Grand Tapestry Unfurls
     
-    with gr.Row():
-        # Sidebar for controls
-        with gr.Column(scale=1):
-            gr.Markdown("### ⚙️ Settings")
-            model_type = gr.Dropdown(
-                choices=["GPT-Sim", "BERT-Sim", "T5-Sim"],
-                value="GPT-Sim",
-                label="Select Model",
-                info="Choose the underlying simulation model."
-            )
-            creativity = gr.Slider(
-                minimum=0.0,
-                maximum=1.0,
-                value=0.5,
-                step=0.1,
-                label="Creativity Level",
-                info="Higher values result in more varied outputs."
-            )
-            clear_btn = gr.Button("Clear All", variant="stop")
+    Welcome to the future of content orchestration. This ecosystem is designed to transcend the ordinary, 
+    weaving together **production**, **distribution**, and **interaction** into a seamless, mobile-first experience.
+    Powered by the **AURA AI Agent**, this platform operates autonomously to amplify creativity and raw authenticity.
+    """)
+    
+    # ==========================================
+    # SIDEBAR: The Control Center
+    # ==========================================
+    with gr.Sidebar(position="left") as sidebar:
+        gr.Markdown("### 🎛️ Master Control")
+        
+        gr.Markdown("**System Status**")
+        status_indicator = gr.Textbox(value="ONLINE // OPTIMAL", interactive=False, label="AURA Status")
+        
+        gr.Markdown("**Agent Configuration**")
+        agent_mode = gr.Radio(
+            choices=["Visionary", "Pragmatic", "Audacious"],
+            value="Audacious",
+            label="Operational Persona",
+            info="Defines the creative boundaries of the AI agent."
+        )
+        
+        processing_power = gr.Slider(
+            minimum=1,
+            maximum=10,
+            value=8,
+            step=1,
+            label="Processing Depth",
+            info="Higher values utilize more neural threads."
+        )
+        
+        gr.Markdown("---")
+        gr.Markdown("*Designed for the bold. Built for the future.*")
+
+    # ==========================================
+    # MAIN INTERFACE: Tabbed Ecosystem
+    # ==========================================
+    with gr.Tabs() as main_tabs:
+        
+        # TAB 1: THE STUDIO (Production)
+        with gr.TabItem("🎬 The Studio"):
+            gr.Markdown("### 🎥 Production Blueprint Generator")
+            gr.Markdown("Orchestrate the vision. Define the parameters of your creative endeavor.")
             
-        # Main interaction area
-        with gr.Column(scale=2):
-            gr.Markdown("### 💬 Interaction")
-            input_text = gr.Textbox(
-                label="Input Text",
-                placeholder="Type something here...",
-                lines=3
-            )
+            with gr.Row():
+                with gr.Column(scale=1):
+                    genre_input = gr.Dropdown(
+                        choices=["Cinematic Drama", "Avant-Garde", "Documentary Style", "High-Energy Visual"],
+                        label="Content Genre",
+                        info="Select the foundational style."
+                    )
+                    theme_input = gr.Textbox(
+                        label="Core Theme",
+                        placeholder="e.g. Unfiltered Human Connection",
+                        info="The central message or vibe."
+                    )
+                    intensity = gr.Slider(
+                        minimum=0, maximum=100, value=75, label="Intensity Level", info="0 = Subtle, 100 = Explosive"
+                    )
+                    duration = gr.Number(label="Duration (mins)", value=45, precision=0)
+                    
+                    generate_btn = gr.Button("Initialize AURA Production", variant="primary", size="lg")
+                
+                with gr.Column(scale=2):
+                    blueprint_output = gr.JSON(label="AURA Production Blueprint")
+                    system_log = gr.Textbox(label="AURA System Log", lines=5, interactive=False)
+
+        # TAB 2: THE NETWORK (Distribution)
+        with gr.TabItem("🌐 The Network"):
+            gr.Markdown("### 📊 Distribution & Analytics")
+            gr.Markdown("Navigate the market. Optimize the reach of your creative output.")
             
-            submit_btn = gr.Button("Generate Response", variant="primary", size="lg")
+            with gr.Row():
+                with gr.Column(scale=1):
+                    platforms = gr.CheckboxGroup(
+                        choices=["Global Stream", "Niche Platforms", "Direct-to-Consumer", "Mobile-First Apps"],
+                        value=["Global Stream", "Mobile-First Apps"],
+                        label="Target Channels"
+                    )
+                    budget = gr.Radio(
+                        choices=["Indie Scale", "Standard", "Blockbuster"],
+                        value="Standard",
+                        label="Budget Allocation"
+                    )
+                    demographic = gr.Textbox(label="Target Demographic", placeholder="e.g. Global Audiences 18-45")
+                    
+                    analyze_btn = gr.Button("Analyze Market Fit", variant="secondary", size="lg")
+                
+                with gr.Column(scale=2):
+                    strategy_output = gr.JSON(label="AURA Distribution Strategy")
+                    metrics_display = gr.Markdown("Waiting for analysis...")
+
+        # TAB 3: THE EXPERIENCE (Interaction)
+        with gr.TabItem("💬 The Experience"):
+            gr.Markdown("### 🤖 Direct AURA Interaction")
+            gr.Markdown("Engage with the autonomous agent. Explore the boundaries of conversation.")
             
-            output_text = gr.Textbox(
-                label="AI Response",
-                lines=4,
-                interactive=False
+            chatbot = gr.Chatbot(
+                label="AURA Agent",
+                height=500,
+                avatar_images=("👤", "🤖"),
+                show_copy_button=True
             )
             
-            # Examples section
-            gr.Examples(
-                examples=[
-                    ["The future of AI is bright.", 0.8, "GPT-Sim"],
-                    ["Analyze this data set.", 0.2, "BERT-Sim"],
-                    ["Write a poem about code.", 0.9, "T5-Sim"]
-                ],
-                inputs=[input_text, creativity, model_type],
-                label="Try these examples:"
-            )
+            with gr.Row():
+                msg_input = gr.Textbox(
+                    label="Your Input",
+                    placeholder="Speak your mind...",
+                    scale=4,
+                    autofocus=True
+                )
+                send_btn = gr.Button("Transmit", variant="primary", scale=1)
+                clear_btn = gr.Button("Clear Session", scale=1)
+
+    # ==========================================
+    # EVENT LISTENERS & LOGIC BINDING
+    # ==========================================
+    
+    # --- Studio Logic ---
+    def run_production(genre, theme, intensity, duration, mode, power):
+        # Update system log
+        log = f"INITIATING PRODUCTION SEQUENCE...\nMode: {mode}\nDepth: {power}\nAnalyzing inputs..."
+        
+        # Get blueprint
+        blueprint = generate_production_blueprint(genre, theme, intensity, duration)
+        
+        # Get AURA comment
+        comment = simulate_aura_processing("production", {"genre": genre})
+        
+        return blueprint, f"{log}\n\n{comment}"
 
-    # Event Listeners
-    submit_btn.click(
-        fn=generate_response,
-        inputs=[input_text, creativity, model_type],
-        outputs=output_text,
-        api_visibility="public"  # Gradio 6 syntax
+    generate_btn.click(
+        fn=run_production,
+        inputs=[genre_input, theme_input, intensity, duration, agent_mode, processing_power],
+        outputs=[blueprint_output, system_log],
+        api_visibility="public"
+    )
+
+    # --- Network Logic ---
+    def run_distribution(platforms, budget, demo, mode, power):
+        strategy = analyze_distribution_strategy(platforms, budget, demo)
+        comment = simulate_aura_processing("distribution", {"platforms": platforms})
+        
+        return strategy, f"### AURA Market Intelligence\n\n{comment}"
+
+    analyze_btn.click(
+        fn=run_distribution,
+        inputs=[platforms, budget, demographic, agent_mode, processing_power],
+        outputs=[strategy_output, metrics_display],
+        api_visibility="public"
+    )
+
+    # --- Experience Logic (Chat) ---
+    def handle_chat(message, history, mode):
+        if not message:
+            return history, ""
+        return aura_chatbot_response(message, history, mode), ""
+
+    msg_input.submit(
+        fn=handle_chat,
+        inputs=[msg_input, chatbot, agent_mode],
+        outputs=[chatbot, msg_input],
+        api_visibility="public"
     )
     
-    # Add Enter key support for the textbox
-    input_text.submit(
-        fn=generate_response,
-        inputs=[input_text, creativity, model_type],
-        outputs=output_text,
+    send_btn.click(
+        fn=handle_chat,
+        inputs=[msg_input, chatbot, agent_mode],
+        outputs=[chatbot, msg_input],
         api_visibility="public"
     )
     
     clear_btn.click(
-        fn=lambda: [None, 0.5, "GPT-Sim", None],
-        outputs=[input_text, creativity, model_type, output_text],
+        fn=lambda: [],
+        outputs=[chatbot],
         api_visibility="private"
     )
 
+# ==========================================
+# LAUNCH CONFIGURATION
+# ==========================================
+
 # Gradio 6: ALL app-level params go in demo.launch()!
 demo.launch(
-    theme=gr.themes.Soft(
-        primary_hue="indigo",
-        secondary_hue="blue",
-        font=gr.themes.GoogleFont("Inter")
+    # Use Glass theme for that modern, "cutting-edge ecosystem" feel
+    theme=gr.themes.Glass(
+        primary_hue="fuchsia",  # Vibrant, bold color fitting the "adult/entertainment" premium vibe
+        secondary_hue="slate",
+        font=gr.themes.GoogleFont("Outfit"), # Modern, geometric font
+        text_size="lg",
+        spacing_size="lg",
+        radius_size="md"
+    ).set(
+        # Custom styling for that "Nightlife/Premium" aesthetic
+        body_background_fill="*neutral_950",
+        body_background_fill_dark="*neutral_950",
+        block_background_fill="*neutral_900",
+        block_border_width="1px",
+        block_border_color="*neutral_700",
+        button_primary_background_fill="*primary_500",
+        button_primary_background_fill_hover="*primary_600",
     ),
     footer_links=[
         {"label": "Built with anycoder", "url": "https://huggingface.co/spaces/akhaliq/anycoder"},
-        {"label": "Gradio", "url": "https://gradio.app"}
+        {"label": "AURA Documentation", "url": "#"}
     ]
 )