Update app.py

app.py

@@ -51,39 +51,36 @@ def preprocess_image(img):
 # --- Core Generation Engine ---
 def generate_prompt(image, api_key, style, creativity, neg_prompt, aspect, color_mode, dpi):
     try:
-        # Validate inputs
         if not image:
-            return {"error": "Please upload an image"}
-            
+            return {"error": "❌ Please upload an image"}
+
         api_key = api_key or GEMINI_KEY
         if not api_key:
-            return {"error": "API key required - set in env (GEMINI_KEY) or input field"}
+            return {"error": "❌ API key required - set GEMINI_KEY environment variable or use input field"}
 
-        # Import and configure Gemini only when needed
+        # Lazy import for Gemini
         try:
             import google.generativeai as genai
             genai.configure(api_key=api_key)
             model = genai.GenerativeModel("gemini-1.5-pro")
         except ImportError:
-            return {"error": "Failed to import google.generativeai. Install with: pip install google-generativeai"}
+            return {"error": "❌ Install Gemini SDK: pip install google-generativeai"}
         except Exception as e:
             if "authentication" in str(e).lower():
-                return {"error": "Invalid API key or authentication error"}
-            else:
-                return {"error": f"API initialization error: {str(e)}"}
+                return {"error": "❌ Invalid API key or authentication error"}
+            return {"error": f"❌ API initialization error: {str(e)}"}
 
-        # Process image with timeout protection
-        start_time = time.time()
+        # Image processing
         img = preprocess_image(image)
         img_bytes = io.BytesIO()
         img.save(img_bytes, format="PNG")
         img_b64 = base64.b64encode(img_bytes.getvalue()).decode()
 
-        # Build instruction
+        # Prompt instruction
         instruction = f"{STYLE_INSTRUCTIONS[style]}\nAVOID: {neg_prompt}\n"
         instruction += f"ASPECT: {aspect}, COLORS: {color_mode}, DPI: {dpi}\n"
 
-        # Generate prompt with timeout protection
+        # Gemini generation
         try:
             response = model.generate_content(
                 contents=[instruction, {"mime_type": "image/png", "data": img_b64}],
@@ -91,15 +88,13 @@ def generate_prompt(image, api_key, style, creativity, neg_prompt, aspect, color
             )
             raw_prompt = response.text
         except Exception as e:
-            return {"error": f"Generation failed: {str(e)}"}
+            return {"error": f"❌ Prompt generation failed: {str(e)}"}
 
-        # Simple quality validation
+        # Basic validation
         validation = {"score": 8, "issues": [], "suggestions": []}
-        
-        # Token tracking
-        input_tokens = len(img_b64) // 4  # Approximate base64 token count
+        input_tokens = len(img_b64) // 4  # Approximate
         output_tokens = len(raw_prompt.split())
-        
+
         return {
             "prompt": raw_prompt,
             "validation": validation,
@@ -110,26 +105,25 @@ def generate_prompt(image, api_key, style, creativity, neg_prompt, aspect, color
         traceback.print_exc()
         return {"error": str(e)}
 
-# --- UI Response Formatting ---
+# --- Response Formatter ---
 def format_generation_response(result):
     """Format the response from generate_prompt for the UI"""
     if "error" in result:
-        return result["error"], None, None
+        return result["error"], {}, {}
     else:
         return result.get("prompt", ""), result.get("validation", {}), result.get("stats", {})
 
-# Modern copy function using Gradio's JavaScript API
-def copy_text(text):
-    return gr.update(value=text), f"✓ Copied: '{text[:20]}...'", gr.Button.update(variant="secondary")
+def update_status(result):
+    return "✅ Prompt generated successfully!" if "prompt" in result else result.get("error", "❌ Unknown error")
 
 # --- Main Interface ---
 def build_interface():
-    with gr.Blocks(title="Flux Pro Generator", theme="soft") as app:
+    with gr.Blocks(title="Flux Pro Generator") as app:
         # Header
         gr.Markdown("# 🎨 Flux Pro Prompt Generator")
         gr.Markdown("Generate optimized design prompts from images using Google's Gemini")
-        
-        # Security Section
+
+        # API Key
         api_key = gr.Textbox(
             label="🔑 Gemini API Key",
             value=GEMINI_KEY,
@@ -137,76 +131,40 @@ def build_interface():
             info="Set GEMINI_KEY environment variable for production"
         )
 
-        # Main Workflow
+        # Inputs
         with gr.Row():
             with gr.Column(scale=1):
-                img_input = gr.Image(
-                    label="🖼️ Upload Design",
-                    type="pil",
-                    sources=["upload"],
-                    interactive=True
-                )
-                style = gr.Dropdown(
-                    list(STYLE_INSTRUCTIONS.keys()),
-                    value="General",
-                    label="🎨 Target Style"
-                )
-                
-                # Advanced Settings
+                img_input = gr.Image(label="🖼️ Upload Design", type="pil", sources=["upload"], interactive=True)
+                style = gr.Dropdown(list(STYLE_INSTRUCTIONS.keys()), value="General", label="🎨 Target Style")
                 with gr.Accordion("⚙️ Advanced Settings", open=False):
-                    creativity = gr.Slider(0.0, 1.0, 0.7, label="Creativity Level")
+                    creativity = gr.Slider(0.0, 1.0, value=0.7, step=0.05, label="Creativity Level")
                     neg_prompt = gr.Textbox(label="🚫 Negative Prompts", placeholder="What to avoid")
                     aspect = gr.Dropdown(FLUX_SPECS["aspect_ratios"], value="1:1", label="Aspect Ratio")
                     color_mode = gr.Dropdown(FLUX_SPECS["color_modes"], value="RGB", label="Color Mode")
                     dpi = gr.Dropdown([str(d) for d in FLUX_SPECS["dpi_options"]], value="300", label="Output DPI")
-                
                 gen_btn = gr.Button("✨ Generate Prompt", variant="primary")
 
             with gr.Column(scale=2):
-                prompt_output = gr.Textbox(
-                    label="📝 Optimized Prompt",
-                    lines=8,
-                    interactive=True,
-                    show_copy_button=True  # Modern Gradio has built-in copy button
-                )
+                prompt_output = gr.Textbox(label="📝 Optimized Prompt", lines=8, interactive=True, show_copy_button=True)
                 status_msg = gr.Textbox(label="Status", visible=True)
-                with gr.Row():
-                    copy_btn = gr.Button("📋 Copy to Clipboard", variant="secondary")
-                
-                quality_report = gr.JSON(
-                    label="🔍 Quality Report",
-                    visible=True
-                )
-                token_stats = gr.JSON(
-                    label="🧮 Token Usage",
-                    visible=True
-                )
-        
-        # Event Handling
+                quality_report = gr.JSON(label="🔍 Quality Report", visible=True)
+                token_stats = gr.JSON(label="🧮 Token Usage", visible=True)
+
+        # Event bindings
         gen_btn.click(
             fn=generate_prompt,
-            inputs=[
-                img_input, api_key, style, creativity, 
-                neg_prompt, aspect, color_mode, dpi
-            ],
+            inputs=[img_input, api_key, style, creativity, neg_prompt, aspect, color_mode, dpi],
             outputs=[prompt_output, quality_report, token_stats],
             api_name="generate"
         ).then(
-            fn=lambda: gr.update(value="Generation complete!"),
+            fn=lambda r: update_status({"prompt": r}) if isinstance(r, str) else update_status(r),
+            inputs=[prompt_output],
             outputs=status_msg
         )
-        
-        # Modern copy implementation
-        copy_btn.click(
-            fn=copy_text,
-            inputs=prompt_output,
-            outputs=[prompt_output, status_msg, copy_btn],
-            js="(text) => { if(text) { navigator.clipboard.writeText(text); } return [text]; }"
-        )
 
     return app
 
-# --- Production Launch ---
+# --- Launch App ---
 if __name__ == "__main__":
     app = build_interface()
-    app.launch()
+    app.launch(server_port=DEFAULT_PORT)