Update main_web.py

main_web.py

@@ -1,36 +1,133 @@
-# main_web.py — ZOTHEOS Hugging Face Entry Point
-
-import logging
-from zotheos_interface_public import (
-    build_interface,
-    logo_path_verified,
-    favicon_path_verified,
-    APP_TITLE
-)
-
-# Set up logging
-logging.basicConfig(
-    level=logging.INFO,
-    format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
-)
-logger = logging.getLogger("ZOTHEOS_WebApp_HF")
-
-# --- CRUCIAL FINAL CHECK ---
-# Ensure your model loading code (likely in another file like 'modules/main_fusion_public.py')
-# has been updated to use hf_hub_download.
-# The server will download the models, so your code must not look for a local 'models/' folder.
-logger.info("Verifying model loading strategy for web deployment...")
-# (This is just a log message, the actual code change is in your backend file)
-
-# --- Build and Launch the App ---
-logger.info(f"Building Gradio UI for '{APP_TITLE}'...")
-# Build the interface by calling the function from your other script
-zotheos_app = build_interface(logo_path_verified, favicon_path_verified)
-
-logger.info("UI built. Preparing to launch on Hugging Face Spaces...")
-# The .queue() is important for handling multiple users.
-# The .launch() command without arguments is what Hugging Face expects.
-# It will handle the server and networking for you.
-zotheos_app.queue().launch()
-
-logger.info("ZOTHEOS app has been launched by the Hugging Face environment.")
+import gradio as gr
+import asyncio # Use asyncio for async operations like your real fusion logic will need
+
+# --- 1. ZOTHEOS STYLING (CSS) ---
+# All the styling for the Gradio app is placed right here. No separate files needed.
+ZOTHEOS_CSS = """
+/* Hide the default Gradio footer */
+footer {
+    display: none !important;
+}
+
+/* Main container styling for the dark, focused theme */
+.gradio-container {
+    background: radial-gradient(ellipse at bottom, #0a0a15 0%, #050510 70%, #000000 100%);
+}
+
+/* Custom header styling */
+#zotheos_header {
+    text-align: center;
+    margin-bottom: 20px;
+    border-bottom: 1px solid #333;
+    padding-bottom: 20px;
+}
+#zotheos_header h1 {
+    color: #f0f0f5;
+    font-size: 2.5rem;
+    font-weight: 700;
+    margin: 0;
+}
+#zotheos_header p {
+    color: #999;
+    font-size: 1.1rem;
+    margin-top: 5px;
+}
+
+/* Input/Output box styling */
+.gradio-container .gr-input, .gradio-container .gr-output {
+    border-color: #333 !important;
+    background-color: #0f0f18 !important;
+    color: #f0f0f5 !important;
+}
+.gradio-container .gr-label {
+    color: #aaa !important;
+}
+
+/* Button styling */
+.gradio-container .gr-button-primary {
+    background: linear-gradient(90deg, #4a90e2, #5fdfff);
+    color: white;
+    font-weight: bold;
+    border: none;
+}
+"""
+
+# --- 2. THE CORE AI FUNCTION (Async Ready) ---
+# This is where your fusion logic will go. It's set up to be async.
+async def run_zotheos_fusion(question):
+    """
+    This function takes a user's question, runs it through your fused models,
+    and returns the three distinct perspectives.
+    """
+    
+    # --- YOUR FUSION LOGIC GOES HERE ---
+    #
+    # Replace this placeholder logic with your actual call:
+    # result = await ai_system.process_query_with_fusion(...)
+    # mistral_output = result['mistral']
+    # gemma_output = result['gemma']
+    # qwen_output = result['qwen']
+    
+    print(f"Received question: {question}") # For debugging in Hugging Face logs
+    
+    # Placeholder logic that simulates async model processing:
+    await asyncio.sleep(2) # Simulate async delay
+    mistral_output = f"**Pragmatic Perspective (Mistral):** Based on the data points surrounding '{question}', the most logical path forward is..."
+    gemma_output = f"**Ethical & Human-Centric Perspective (Gemma):** Considering the human impact of '{question}', it's vital to prioritize compassion and fairness..."
+    qwen_output = f"**Creative & Alternative Perspective (Qwen):** What if we reframe '{question}' entirely? An unconventional approach might be..."
+
+    return mistral_output, gemma_output, qwen_output
+    # --- END OF YOUR FUSION LOGIC SECTION ---
+
+
+# --- 3. GRADIO USER INTERFACE (UI) ---
+# We use a base theme and apply our custom CSS on top of it.
+with gr.Blocks(theme=gr.themes.Base(), css=ZOTHEOS_CSS, title="ZOTHEOS") as demo:
+    
+    # Custom Header
+    with gr.Row():
+        gr.HTML("""
+        <div id="zotheos_header">
+            <h1>ZOTHEOS</h1>
+            <p>The Ethical Fusion AI for Multi-Perspective Understanding</p>
+        </div>
+        """)
+    
+    # Main Input/Output Layout
+    with gr.Row():
+        with gr.Column(scale=3):
+            question_input = gr.Textbox(
+                label="Your Inquiry", 
+                placeholder="e.g., What is the future of decentralized education?",
+                lines=4
+            )
+            submit_button = gr.Button("Synthesize Perspectives", variant="primary")
+    
+    gr.Markdown("---")
+    
+    with gr.Row():
+        # Using Markdown for better text formatting (like bolding the titles)
+        output_mistral = gr.Markdown(label="Perspective 1: The Pragmatist (Mistral)")
+        output_gemma = gr.Markdown(label="Perspective 2: The Ethicist (Gemma)")
+        output_qwen = gr.Markdown(label="Perspective 3: The Innovator (Qwen)")
+        
+    # --- 4. CONNECTING THE UI TO THE FUNCTION ---
+    submit_button.click(
+        fn=run_zotheos_fusion,
+        inputs=question_input,
+        outputs=[output_mistral, output_gemma, output_qwen],
+        show_progress="dots" # Shows a loading animation
+    )
+    
+    gr.Examples(
+        examples=[
+            "What are the ethical implications of AI in hiring?",
+            "How can technology bridge the gap between rural and urban healthcare?",
+            "Explain the concept of 'truth' from a philosophical and a scientific standpoint."
+        ],
+        inputs=question_input
+    )
+
+# --- 5. LAUNCH THE APP ---
+if __name__ == "__main__":
+    demo.queue().launch()