Update app.py

app.py

@@ -15,7 +15,7 @@ import logging
 
 # Setup logging for continuous feedback
 logging.basicConfig(level=logging.INFO)
-logger = logging.getLogger(__name__)
+logger = logging.getLogger(_name_)
 
 # —————————————————————————————
 # CONFIG: set your HF token here or via env var HF_TOKEN
@@ -789,16 +789,16 @@ def comprehensive_healthspan_analysis(input_type, image_input, video_input, bree
         media_type = "video"
         video_path = video_input
     else:
-        yield "❌ **Error**: Please select an input type."
+        yield "❌ *Error*: Please select an input type."
         return
     
     if selected_media is None:
-        yield f"❌ **Error**: Please provide a {media_type} for analysis."
+        yield f"❌ *Error*: Please provide a {media_type} for analysis."
         return
     
     # Check if questionnaire is completed
     if not hrqol_responses or all(not r for r in hrqol_responses):
-        yield "❌ **Error**: Please complete the HRQOL questionnaire before analysis."
+        yield "❌ *Error*: Please complete the HRQOL questionnaire before analysis."
         return
     
     # Build HRQOL responses dictionary - Updated for shortened questionnaire
@@ -931,7 +931,7 @@ def comprehensive_healthspan_analysis(input_type, image_input, video_input, bree
         uncertainty_info = ""
         if breed_info.get('high_uncertainty', False):
             uncertainty_info = f"""<div style="background: #fff3cd; border: 1px solid #ffeaa7; padding: 10px; border-radius: 8px; margin: 10px 0;">
-                                    <p style="margin: 0; color: #856404;"><strong>⚠️ High Uncertainty:</strong> 
+                                    <p style="margin: 0; color: #856404;"><strong>⚠ High Uncertainty:</strong> 
                                     Age prediction uncertainty is ±{breed_info.get('uncertainty', 0):.1f} years. Consider veterinary consultation.</p>
                                   </div>"""
         
@@ -998,7 +998,7 @@ def comprehensive_healthspan_analysis(input_type, image_input, video_input, bree
         """
         for aspect, data in health_aspects.items():
             is_healthy = any(word in data["assessment"].lower() for word in ["healthy", "bright", "clean", "ideal"])
-            status_icon = "✅" if is_healthy else "⚠️"
+            status_icon = "✅" if is_healthy else "⚠"
             status_color = "#2E7D32" if is_healthy else "#F57C00"
             bg_color = "#E8F5E8" if is_healthy else "#FFF3E0"
             
@@ -1018,21 +1018,21 @@ def comprehensive_healthspan_analysis(input_type, image_input, video_input, bree
     # Enhanced recommendations based on advanced analysis
     recommendations = []
     if hrqol_scores["vitality"] < 60:
-        recommendations.append("🔋 **Vitality Enhancement**: Implement graduated exercise program with monitoring")
+        recommendations.append("🔋 *Vitality Enhancement*: Implement graduated exercise program with monitoring")
     if hrqol_scores["comfort"] < 70:
-        recommendations.append("😌 **Comfort Support**: Consider pain management and mobility aids")
+        recommendations.append("😌 *Comfort Support*: Consider pain management and mobility aids")
     if hrqol_scores["emotional_wellbeing"] < 65:
-        recommendations.append("😊 **Emotional Care**: Increase environmental enrichment and social interaction")
+        recommendations.append("😊 *Emotional Care*: Increase environmental enrichment and social interaction")
     if hrqol_scores["alertness"] < 70:
-        recommendations.append("🧠 **Cognitive Support**: Introduce cognitive enhancement activities")
+        recommendations.append("🧠 *Cognitive Support*: Introduce cognitive enhancement activities")
     
     if breed_info and breed_info.get('high_uncertainty', False):
-        recommendations.append("🏥 **Veterinary Consultation**: High prediction uncertainty suggests professional evaluation needed")
+        recommendations.append("🏥 *Veterinary Consultation*: High prediction uncertainty suggests professional evaluation needed")
     
     if breed_info and age:
         pace = breed_info["bio_age"] / age
         if pace > 1.3:
-            recommendations.append("⚡ **Accelerated Aging**: Consider comprehensive health screening and lifestyle modifications")
+            recommendations.append("⚡ *Accelerated Aging*: Consider comprehensive health screening and lifestyle modifications")
     
     if recommendations:
         report_html += f"""
@@ -1046,7 +1046,7 @@ def comprehensive_healthspan_analysis(input_type, image_input, video_input, bree
     report_html += """
         <div style="background: #F5F5F5; border: 1px solid #E0E0E0; padding: 20px; border-radius: 8px; margin: 20px 0;">
             <p style="margin: 0; font-size: 0.9em; color: #424242; line-height: 1.5;">
-                <strong style="color: #D32F2F;">⚠️ Important Disclaimer:</strong> 
+                <strong style="color: #D32F2F;">⚠ Important Disclaimer:</strong> 
                 This analysis uses advanced AI models with multi-factor biological age prediction based on visual health indicators, 
                 HRQOL correlations, and movement analysis. Results are for educational purposes only. 
                 Always consult with a qualified veterinarian for professional medical advice and diagnosis.
@@ -1185,7 +1185,7 @@ custom_css = """
 }
 """
 
-# FIXED GRADIO INTERFACE WITH CLEAN QUESTIONNAIRE UI (NO ERRORS)
+# UPDATED GRADIO INTERFACE WITH CLEAN QUESTIONNAIRE UI
 with gr.Blocks(
     title="🐶 Enhanced AI Dog Health Analyzer", 
     theme=gr.themes.Soft(),
@@ -1246,7 +1246,7 @@ with gr.Blocks(
             gr.HTML("""
             <div style="margin: 20px 0;">
                 <h3 style="color: #667eea; text-align: center; margin-bottom: 15px;">
-                    ⚙️ Optional Information
+                    ⚙ Optional Information
                 </h3>
             </div>
             """)
@@ -1265,11 +1265,11 @@ with gr.Blocks(
                 maximum=25
             )
         
-        # Right Column - CLEAN HRQOL Questionnaire Form (FIXED - NO ERRORS)
+        # Right Column - CLEAN HRQOL Questionnaire Form
         with gr.Column(scale=1):
             # Clean questionnaire header
             gr.HTML("""
-            <div style="background: white; border-radius: 12px; padding: 25px; margin: 10px 0; box-shadow: 0 4px 12px rgba(0,0,0,0.08);">
+            <div class="clean-questionnaire-card">
                 <div style="text-align: center; margin-bottom: 24px;">
                     <h2 style="color: #1f2937; margin: 0 0 8px 0; font-size: 1.6em; font-weight: 600;">
                         📋 Health Assessment Form
@@ -1283,35 +1283,45 @@ with gr.Blocks(
             
             hrqol_inputs = []
             
-            # Clean questionnaire form layout - FIXED VERSION
-            for i, (domain_key, domain_data) in enumerate(HRQOL_QUESTIONNAIRE.items()):
-                # Clean section header
-                gr.HTML(f"""
-                <div style="background: #f8fafc; border: 1px solid #e2e8f0; border-radius: 6px; padding: 16px; margin: 16px 0 8px 0; border-left: 4px solid #667eea;">
-                    <h3 style="margin: 0; color: #1f2937; font-size: 1.1em; font-weight: 600; display: flex; align-items: center;">
-                        <span style="margin-right: 8px;">{domain_data['title'].split()[0]}</span>
-                        {domain_data['title'].split()[1:][0] if len(domain_data['title'].split()) > 1 else ''}
-                    </h3>
-                    <p style="margin: 6px 0 0 0; color: #6b7280; font-size: 0.9em; line-height: 1.3;">
-                        {domain_data['description']}
-                    </p>
-                </div>
-                """)
-                
-                # Clean question form field - FIXED: No placeholder parameter
-                for question in domain_data["questions"]:
-                    dropdown = gr.Dropdown(
-                        choices=question["options"],
-                        label=question["text"],  # Show full question as label
-                        value=None,
-                        interactive=True,
-                        container=True
-                    )
-                    hrqol_inputs.append(dropdown)
-                
-                # Clean separator between sections (except last)
-                if i < len(HRQOL_QUESTIONNAIRE) - 1:
-                    gr.HTML('<div style="height: 1px; background: #e5e7eb; margin: 20px 0; border: none;"></div>')
+            # Clean questionnaire form layout
+            with gr.Group(elem_classes=["clean-form"]):
+                for i, (domain_key, domain_data) in enumerate(HRQOL_QUESTIONNAIRE.items()):
+                    # Clean section header
+                    gr.HTML(f"""<div class="clean-section-header">
+                        <h3 style="margin: 0; color: #1f2937; font-size: 1.1em; font-weight: 600; display: flex; align-items: center;">
+                            <span style="margin-right: 8px;">{domain_data['title'].split()[0]}</span>
+                            {domain_data['title'].split()[1:][0] if len(domain_data['title'].split()) > 1 else ''}
+                        </h3>
+                        <p style="margin: 6px 0 0 0; color: #6b7280; font-size: 0.9em; line-height: 1.3;">
+                            {domain_data['description']}
+                        </p>
+                    </div>""")
+                    
+                    # Clean question form field
+                    for question in domain_data["questions"]:
+                        # Clean question container
+                        gr.HTML(f"""
+                        <div style="margin: 16px 0;">
+                            <label style="display: block; font-size: 0.95em; font-weight: 500; color: #374151; margin-bottom: 8px; line-height: 1.4;">
+                                {question["text"]}
+                            </label>
+                        </div>
+                        """)
+                        
+                        dropdown = gr.Dropdown(
+                            choices=question["options"],
+                            label="",  # Remove label since we're showing it above
+                            placeholder="Select your answer...",
+                            value=None,
+                            interactive=True,
+                            container=False,
+                            elem_classes=["clean-dropdown"]
+                        )
+                        hrqol_inputs.append(dropdown)
+                    
+                    # Clean separator between sections (except last)
+                    if i < len(HRQOL_QUESTIONNAIRE) - 1:
+                        gr.HTML('<hr class="clean-separator">')
     
     # Clean Analysis Button
     gr.HTML("""
@@ -1341,5 +1351,5 @@ with gr.Blocks(
         outputs=output_report
     )
 
-if __name__ == "__main__":
-    demo.launch()
+if _name_ == "_main_":
+    demo.launch()