Update app.py

app.py

@@ -484,7 +484,6 @@ class SentimentEngine:
         
         return results
 
-# FIXED Advanced Analysis Engine
 class AdvancedAnalysisEngine:
     """Advanced analysis using SHAP and LIME with FIXED implementation"""
     
@@ -627,14 +626,14 @@ class AdvancedAnalysisEngine:
             }
             
             summary_text = f"""
-**SHAP Analysis Results (FIXED):**
+**SHAP Analysis Results:**
 - **Language:** {detected_lang.upper()}
 - **Total Tokens:** {analysis_data['total_tokens']}
 - **Samples Used:** {num_samples}
 - **Positive Influence Tokens:** {analysis_data['positive_influence']}
 - **Negative Influence Tokens:** {analysis_data['negative_influence']}
 - **Most Important Tokens:** {', '.join([f"{token}({score:.3f})" for token, score in analysis_data['most_important_tokens']])}
-- **Status:** ✅ SHAP analysis completed successfully
+- **Status:** SHAP analysis completed successfully
             """
             
             return summary_text, fig, analysis_data
@@ -739,7 +738,7 @@ class AdvancedAnalysisEngine:
             }
             
             summary_text = f"""
-**LIME Analysis Results (BUG FIXED):**
+**LIME Analysis Results:**
 - **Language:** {detected_lang.upper()}
 - **Features Analyzed:** {analysis_data['features_analyzed']}
 - **Classes:** {', '.join(class_names)}
@@ -747,7 +746,7 @@ class AdvancedAnalysisEngine:
 - **Positive Features:** {analysis_data['positive_features']}
 - **Negative Features:** {analysis_data['negative_features']}
 - **Top Features:** {', '.join([f"{word}({score:.3f})" for word, score in lime_data[:5]])}
-- **Status:** ✅ LIME analysis completed successfully (mode parameter bug fixed)
+- **Status:** LIME analysis completed successfully 
             """
             
             return summary_text, fig, analysis_data
@@ -1033,7 +1032,7 @@ class DataHandler:
         
         return content
 
-# Main Application Class - Optimized
+
 class SentimentApp:
     """Optimized multilingual sentiment analysis application"""
     
@@ -1272,8 +1271,8 @@ def create_interface():
     app = SentimentApp()
     
     with gr.Blocks(theme=gr.themes.Soft(), title="Multilingual Sentiment Analyzer") as demo:
-        gr.Markdown("# 🌍 Advanced Multilingual Sentiment Analyzer (FIXED)")
-        gr.Markdown("AI-powered sentiment analysis with **FIXED** SHAP & LIME explainable AI features")
+        gr.Markdown("# 🌍 Multilingual Sentiment Analyzer")
+        gr.Markdown("AI-powered sentiment analysis with SHAP & LIME explainable AI features")
         
         with gr.Tab("Single Analysis"):
             with gr.Row():
@@ -1317,8 +1316,8 @@ def create_interface():
                 probability_plot = gr.Plot(label="Probability Distribution")
         
         # FIXED Advanced Analysis Tab
-        with gr.Tab("🔬 Advanced Analysis (FIXED)"):
-            gr.Markdown("## ✅ FIXED Explainable AI Analysis")
+        with gr.Tab("🔬 Advanced Analysis"):
+            gr.Markdown("## Explainable AI Analysis")
             gr.Markdown("**SHAP and LIME analysis with FIXED implementation** - now handles text input correctly!")
             
             with gr.Row():
@@ -1351,12 +1350,6 @@ def create_interface():
                         lime_btn = gr.Button("✅ LIME Analysis (FIXED)", variant="secondary")
                     
                     gr.Markdown("""
-                    **🛠️ FIXES Applied:**
-                    - ✅ **Text Input Format**: Fixed string/array handling for SHAP
-                    - ✅ **Prediction Function**: Robust batch processing with error handling
-                    - ✅ **Token Extraction**: Safe data extraction with length matching
-                    - ✅ **Model Compatibility**: Works with 2-class and 3-class models
-                    - ✅ **Error Recovery**: Graceful fallback for failed predictions
                     
                     **📊 Analysis Methods:**
                     - **SHAP**: Token-level importance scores using Text masker