Create main.py

main.py

@@ -0,0 +1,135 @@
+import gradio as gr
+import logging
+
+from config import config
+from app import SentimentApp
+
+# Optimized Gradio Interface
+def create_interface():
+    """Create comprehensive Gradio interface with optimizations"""
+    app = SentimentApp()
+    
+    with gr.Blocks(theme=gr.themes.Soft(), title="Multilingual Sentiment Analyzer") as demo:
+        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():
+                with gr.Column():
+                    text_input = gr.Textbox(
+                        label="Enter Text for Analysis",
+                        placeholder="Enter your text in any supported language...",
+                        lines=5
+                    )
+                    
+                    with gr.Row():
+                        language_selector = gr.Dropdown(
+                            choices=list(config.SUPPORTED_LANGUAGES.values()),
+                            value="Auto Detect",
+                            label="Language"
+                        )
+                        theme_selector = gr.Dropdown(
+                            choices=list(config.THEMES.keys()),
+                            value="default",
+                            label="Theme"
+                        )
+                    
+                    with gr.Row():
+                        clean_text_cb = gr.Checkbox(label="Clean Text", value=False)
+                        remove_punct_cb = gr.Checkbox(label="Remove Punctuation", value=False)
+                        remove_nums_cb = gr.Checkbox(label="Remove Numbers", value=False)
+                    
+                    analyze_btn = gr.Button("Analyze", variant="primary", size="lg")
+                    
+                    gr.Examples(
+                        examples=app.examples,
+                        inputs=text_input,
+                        cache_examples=False
+                    )
+                
+                with gr.Column():
+                    result_output = gr.Textbox(label="Analysis Results", lines=8)
+            
+            with gr.Row():
+                gauge_plot = gr.Plot(label="Sentiment Gauge")
+                probability_plot = gr.Plot(label="Probability Distribution")
+        
+        # FIXED Advanced Analysis Tab
+        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():
+                with gr.Column():
+                    advanced_text_input = gr.Textbox(
+                        label="Enter Text for Advanced Analysis",
+                        placeholder="Enter text to analyze with SHAP and LIME...",
+                        lines=6,
+                        value="This movie is absolutely fantastic and amazing!"
+                    )
+                    
+                    with gr.Row():
+                        advanced_language = gr.Dropdown(
+                            choices=list(config.SUPPORTED_LANGUAGES.values()),
+                            value="Auto Detect",
+                            label="Language"
+                        )
+                        
+                        num_samples_slider = gr.Slider(
+                            minimum=50,
+                            maximum=300,
+                            value=100,
+                            step=25,
+                            label="Number of Samples",
+                            info="Lower = Faster, Higher = More Accurate"
+                        )
+                    
+                    with gr.Row():
+                        shap_btn = gr.Button("SHAP Analysis", variant="primary")
+                        lime_btn = gr.Button("LIME Analysis", variant="secondary")
+                    
+                    gr.Markdown("""
+                    
+                    **📊 Analysis Methods:**
+                    - **SHAP**: Token-level importance scores using Text masker
+                    - **LIME**: Feature importance through text perturbation
+                    
+                    **⚡ Expected Performance:**
+                    - 50 samples: ~10-20s | 100 samples: ~20-40s | 200+ samples: ~40-80s
+                    """)
+                
+                with gr.Column():
+                    advanced_results = gr.Textbox(label="Analysis Summary", lines=12)
+            
+            with gr.Row():
+                advanced_plot = gr.Plot(label="Feature Importance Visualization")
+        
+        with gr.Tab("Batch Analysis"):
+            with gr.Row():
+                with gr.Column():
+                    file_upload = gr.File(
+                        label="Upload File (CSV/TXT)", 
+                        file_types=[".csv", ".txt"]
+                    )
+                    batch_input = gr.Textbox(
+                        label="Batch Input (one text per line)",
+                        placeholder="Enter multiple texts, one per line...",
+                        lines=10
+                    )
+                    
+                    with gr.Row():
+                        batch_language = gr.Dropdown(
+                            choices=list(config.SUPPORTED_LANGUAGES.values()),
+                            value="Auto Detect",
+                            label="Language"
+                        )
+                        batch_theme = gr.Dropdown(
+                            choices=list(config.THEMES.keys()),
+                            value="default",
+                            label="Theme"
+                        )
+                    
+                    with gr.Row():
+                        batch_clean_cb = gr.Checkbox(label="Clean Text", value=False)
+                        batch_punct_cb = gr.Checkbox(label="Remove Punctuation", value=False)
+                        batch_nums_cb = gr.Checkbox(label="Remove Numbers", value=False)