Update app.py

app.py

@@ -1,6 +1,9 @@
 """
-Frame 0 Laboratory for MIA - Main Gradio Interface
-FLUX Prompt Optimizer with clean, professional interface
+Phramer AI - Main Gradio Interface
+By Pariente AI, for MIA TV Series
+
+Multimodal tool that reads images and turns them into refined, photo-realistic prompts.
+Ready for Midjourney, Flux or any generative engine.
 """
 
 import gradio as gr
@@ -41,7 +44,7 @@ def process_image_interface(image) -> Tuple[str, str, str]:
                 '<div style="text-align: center; padding: 1rem;"><div style="font-size: 2rem; color: #ccc;">--</div><div style="font-size: 0.875rem; color: #999;">Quality Score</div></div>'
             )
         
-        logger.info("Processing image through interface")
+        logger.info("Processing image through Phramer AI interface")
         prompt, report, score_html = process_image_simple(image)
         
         return prompt, report, score_html
@@ -92,7 +95,7 @@ def get_stats_info() -> str:
 def create_interface():
     """Create the main Gradio interface"""
     
-    # Simplified CSS based on original
+    # Updated CSS with Phramer AI branding
     css = """
     @import url('https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&display=swap');
     
@@ -170,12 +173,23 @@ def create_interface():
         font-size: 1.5rem !important;
         font-weight: 500 !important;
         opacity: 0.95 !important;
-        margin: 0 !important;
+        margin: 0 0 0.5rem 0 !important;
         position: relative;
         z-index: 2;
         color: #ffffff !important;
     }
     
+    .tagline {
+        font-size: 1.1rem !important;
+        font-weight: 400 !important;
+        opacity: 0.85 !important;
+        margin: 0 !important;
+        position: relative;
+        z-index: 2;
+        color: #e5e7eb !important;
+        font-style: italic;
+    }
+    
     .prompt-output {
         font-family: 'SF Mono', 'Monaco', 'Inconsolata', 'Roboto Mono', monospace !important;
         font-size: 15px !important;
@@ -197,14 +211,15 @@ def create_interface():
     
     with gr.Blocks(
         theme=gr.themes.Soft(),
-        title="Frame 0 Laboratory for MIA",
+        title="Phramer AI",
         css=css
     ) as interface:
         
         gr.HTML("""
         <div class="main-header">
-            <div class="main-title">Frame 0 Laboratory for MIA</div>
-            <div class="subtitle">Advanced Image Analysis & FLUX Prompt Optimization</div>
+            <div class="main-title">Phramer AI</div>
+            <div class="subtitle">By Pariente AI, for MIA TV Series</div>
+            <div class="tagline">Multimodal tool that reads images and turns them into refined, photo-realistic prompts</div>
         </div>
         """)
         
@@ -219,38 +234,42 @@ def create_interface():
                 )
                 
                 analyze_btn = gr.Button(
-                    "🔍 Analyze Image",
+                    "🔍 Generate Prompt",
                     variant="primary",
                     size="lg"
                 )
                 
                 gr.Markdown("""
-                ### How it works:
+                ### How Phramer AI Works:
+                
+                **1. Deep Analysis:** Custom Bagel architecture analyzes your image for semantic-visual understanding.
+                
+                **2. Knowledge Enhancement:** Applies curated photographic knowledge base with camera settings and composition principles.
                 
-                **1. Image Analysis:** Advanced AI models analyze your image to understand content, composition, and style.
+                **3. Prompt Generation:** Creates structured prompts with technical details, mood, and style specifications.
                 
-                **2. FLUX Optimization:** Applies proven rules for FLUX image generation including camera settings, lighting, and technical parameters.
+                **4. Multi-Engine Ready:** Optimized for Flux, Midjourney, and other diffusion platforms.
                 
-                **3. Quality Scoring:** Evaluates the optimized prompt across multiple dimensions for best results.
+                **Perfect for:** Cinematic storyboards, photorealistic scenes, visual concept exploration.
                 
                 **Supported formats:** JPG, PNG, WebP up to 1024px
                 """)
                 
                 # Statistics
-                with gr.Accordion("📊 Processing Stats", open=False):
+                with gr.Accordion("📊 Processing Statistics", open=False):
                     stats_output = gr.Markdown(value="No processing completed yet.")
                     refresh_stats_btn = gr.Button("Refresh Stats", size="sm")
             
             with gr.Column(scale=1):
-                gr.Markdown("## Results")
+                gr.Markdown("## Generated Prompt")
                 
                 score_output = gr.HTML(
                     value='<div style="text-align: center; padding: 1rem;"><div style="font-size: 2rem; color: #ccc;">--</div><div style="font-size: 0.875rem; color: #999;">Quality Score</div></div>'
                 )
                 
                 prompt_output = gr.Textbox(
-                    label="🎯 Optimized FLUX Prompt",
-                    placeholder="Upload an image to generate an optimized prompt...",
+                    label="🎯 Photo-Realistic Prompt",
+                    placeholder="Upload an image to generate a refined prompt ready for any generative engine...",
                     lines=12,
                     max_lines=20,
                     show_copy_button=True
@@ -279,13 +298,18 @@ def create_interface():
         
         gr.Markdown("""
         ---
-        ### Frame 0 Laboratory for MIA
+        ### About Phramer AI
+        
+        **Phramer AI** is an advanced multimodal system developed by **Pariente AI** for the **MIA TV Series** creative pipeline.
+        
+        This tool bridges the gap between image understanding and generative prompting, analyzing uploaded images through 
+        a custom Bagel architecture and enhancing them with professional photographic knowledge to create detailed, 
+        structured prompts ready for Flux, Midjourney, or any diffusion-based platform.
         
-        This system uses state-of-the-art vision-language models to analyze images and generate optimized 
-        prompts for FLUX image generation. The system applies proven optimization rules including camera 
-        configurations, lighting setups, and technical parameters for best results.
+        Whether creating cinematic storyboards, photorealistic scenes, or exploring visual concepts, Phramer AI delivers 
+        refined prompts with camera settings, composition hints, mood specifications, and style guidance.
         
-        **Frame 0 Laboratory for MIA** • Advanced AI Research & Development
+        **Pariente AI** • Advanced Multimodal AI Research & Development • **MIA TV Series**
         """)
     
     return interface
@@ -293,7 +317,7 @@ def create_interface():
 
 def main():
     """Main application entry point"""
-    logger.info("Starting Frame 0 Laboratory for MIA")
+    logger.info("Starting Phramer AI by Pariente AI")
     
     # Create and launch interface
     demo = create_interface()