Update app.py

app.py

@@ -1,3 +1,4 @@
+pip install NTLK
 import gradio as gr
 import os
 import re
@@ -790,11 +791,11 @@ def create_catalyst_interface():
     def get_sentiment_indicator(sentiment_score):
         """Get sentiment indicator HTML"""
         if sentiment_score > 0.1:
-            return '<span class="sentiment-indicator sentiment-positive">😊 Positive</span>'
+            return '<span class="sentiment-indicator sentiment-positive">Positive</span>'
         elif sentiment_score < -0.1:
-            return '<span class="sentiment-indicator sentiment-negative">😔 Negative</span>'
+            return '<span class="sentiment-indicator sentiment-negative">Negative</span>'
         else:
-            return '<span class="sentiment-indicator sentiment-neutral">😐 Neutral</span>'
+            return '<span class="sentiment-indicator sentiment-neutral">Neutral</span>'
     
     def process_and_display(file, summary_type, summary_length, enable_ai_features):
         """Enhanced processing with comprehensive results display"""
@@ -806,7 +807,7 @@ def create_catalyst_interface():
                 gr.update(visible=False),
                 gr.update(value="""
                     <div style="text-align: center; padding: 60px; color: #666;">
-                        <h3>🚀 CatalystGPT-4 Ready</h3>
+                        <h3>CatalystGPT-4 Ready</h3>
                         <p>Upload a document to begin advanced AI-powered analysis</p>
                         <p><small>Supports: PDF, Word (.docx), Text (.txt, .md, .rtf)</small></p>
                     </div>
@@ -822,7 +823,7 @@ def create_catalyst_interface():
             if error:
                 error_html = f'''
                 <div class="error-container">
-                    <h4>❌ Processing Error</h4>
+                    <h4>Processing Error</h4>
                     <p><strong>Error:</strong> {error}</p>
                     <p><small>Please try a different file or check the file format.</small></p>
                 </div>
@@ -838,12 +839,12 @@ def create_catalyst_interface():
             # Format summary display
             summary_html = f'''
             <div class="summary-container">
-                <h3>🎯 Document Summary</h3>
+                <h3>Document Summary</h3>
                 <div style="display: grid; grid-template-columns: 1fr 1fr; gap: 15px; margin-bottom: 15px;">
-                    <div><strong>📄 File:</strong> {result["file_name"]}</div>
-                    <div><strong>📊 Size:</strong> {format_file_size(result["file_size"])}</div>
-                    <div><strong>🤖 Model:</strong> {result["model_used"]}</div>
-                    <div><strong>📏 Length:</strong> {result["summary_length"].title()}</div>
+                    <div><strong>File:</strong> {result["file_name"]}</div>
+                    <div><strong>Size:</strong> {format_file_size(result["file_size"])}</div>
+                    <div><strong>Model:</strong> {result["model_used"]}</div>
+                    <div><strong>Length:</strong> {result["summary_length"].title()}</div>
                 </div>
                 <div style="background: rgba(255,255,255,0.15); padding: 20px; border-radius: 10px; line-height: 1.6;">
                     {result["summary"]}
@@ -861,29 +862,29 @@ def create_catalyst_interface():
             
             stats_html = f'''
             <div class="stats-container">
-                <h3>📈 Document Analytics</h3>
+                <h3>Document Analytics</h3>
                 
                 <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin: 20px 0;">
                     <div class="metric-card">
-                        <h4 style="margin: 0; color: #007bff;">📝 {stats["word_count"]:,}</h4>
+                        <h4 style="margin: 0; color: #007bff;">{stats["word_count"]:,}</h4>
                         <small>Words</small>
                     </div>
                     <div class="metric-card">
-                        <h4 style="margin: 0; color: #28a745;">⏱️ {stats["estimated_reading_time"]} min</h4>
+                        <h4 style="margin: 0; color: #28a745;">{stats["estimated_reading_time"]} min</h4>
                         <small>Reading Time</small>
                     </div>
                     <div class="metric-card">
-                        <h4 style="margin: 0; color: #17a2b8;">📑 {stats["sentence_count"]:,}</h4>
+                        <h4 style="margin: 0; color: #17a2b8;">{stats["sentence_count"]:,}</h4>
                         <small>Sentences</small>
                     </div>
                     <div class="metric-card">
-                        <h4 style="margin: 0; color: #6f42c1;">🧠 {stats.get("unique_words", "N/A")}</h4>
+                        <h4 style="margin: 0; color: #6f42c1;">{stats.get("unique_words", "N/A")}</h4>
                         <small>Unique Words</small>
                     </div>
                 </div>
                 
                 <div style="margin: 20px 0;">
-                    <h4>📖 Readability Score</h4>
+                    <h4>Readability Score</h4>
                     <div class="progress-bar">
                         <div class="progress-fill" style="width: {readability}%; background-color: {readability_color};"></div>
                     </div>
@@ -897,7 +898,7 @@ def create_catalyst_interface():
                 sentiment_html = get_sentiment_indicator(sentiment['compound'])
                 stats_html += f'''
                 <div style="margin: 20px 0;">
-                    <h4>😊 Document Sentiment</h4>
+                    <h4>Document Sentiment</h4>
                     {sentiment_html}
                     <div style="display: grid; grid-template-columns: repeat(3, 1fr); gap: 10px; margin-top: 10px;">
                         <small>Positive: {sentiment['positive']:.2f}</small>
@@ -911,7 +912,7 @@ def create_catalyst_interface():
             if stats.get('top_words'):
                 stats_html += f'''
                 <div style="margin: 20px 0;">
-                    <h4>🔤 Most Frequent Words</h4>
+                    <h4>Most Frequent Words</h4>
                     <div style="display: flex; flex-wrap: wrap; gap: 8px; margin-top: 10px;">
                         {" ".join([f'<span style="background: rgba(255,255,255,0.2); padding: 6px 12px; border-radius: 15px; font-size: 13px;">{word} ({count})</span>' for word, count in stats["top_words"][:10]])}
                     </div>
@@ -923,7 +924,7 @@ def create_catalyst_interface():
             # Format key points
             key_points_html = f'''
             <div class="key-points-container">
-                <h3>🎯 Key Insights</h3>
+                <h3>Key Insights</h3>
                 <ul style="list-style: none; padding: 0;">
             '''
             for i, point in enumerate(result["key_points"], 1):
@@ -935,7 +936,7 @@ def create_catalyst_interface():
             if result.get("outline"):
                 outline_html = f'''
                 <div class="outline-container">
-                    <h3>📋 Document Structure</h3>
+                    <h3>Document Structure</h3>
                     <ol style="padding-left: 20px;">
                 '''
                 for item in result["outline"]:
@@ -953,7 +954,7 @@ def create_catalyst_interface():
         except Exception as e:
             error_html = f'''
             <div class="error-container">
-                <h4>💥 Unexpected Error</h4>
+                <h4>Unexpected Error</h4>
                 <p><strong>Details:</strong> {str(e)}</p>
                 <p><small>Please try again or contact support if the issue persists.</small></p>
             </div>
@@ -967,12 +968,12 @@ def create_catalyst_interface():
             )
     
     # Create the main interface
-    with gr.Blocks(css=css, title="🚀 CatalystGPT-4 Document Summarizer", theme=gr.themes.Soft()) as demo:
+    with gr.Blocks(css=css, title="CatalystGPT-4 Document Summarizer", theme=gr.themes.Soft()) as demo:
         
         # Header
         gr.HTML("""
         <div class="catalyst-header">
-            <h1 style="margin: 0; font-size: 3em; font-weight: bold;">🚀 CatalystGPT-4</h1>
+            <h1 style="margin: 0; font-size: 3em; font-weight: bold;">CatalystGPT-4</h1>
             <h2 style="margin: 10px 0; font-size: 1.5em; opacity: 0.9;">Advanced Document Summarizer</h2>
             <p style="margin: 15px 0 0 0; font-size: 1.1em; opacity: 0.8;">
                 Powered by AI • Extractive & Abstractive Summarization • Comprehensive Analytics
@@ -986,17 +987,17 @@ def create_catalyst_interface():
                 with gr.Group():
                     gr.HTML('<div class="control-panel">')
                     
-                    gr.Markdown("### 📁 Document Upload")
+                    gr.Markdown("### Document Upload")
                     file_upload = gr.File(
                         label="Choose your document",
                         file_types=[".pdf", ".docx", ".txt", ".md", ".rtf"],
                         elem_classes="file-upload-area"
                     )
                     
-                    gr.Markdown("### ⚙️ Analysis Settings")
+                    gr.Markdown("### Analysis Settings")
                     
                     enable_ai_features = gr.Checkbox(
-                        label="🤖 Enable AI Features",
+                        label="Enable AI Features",
                         value=TRANSFORMERS_AVAILABLE,
                         info="Use advanced AI models for better summarization",
                         interactive=TRANSFORMERS_AVAILABLE
@@ -1004,8 +1005,8 @@ def create_catalyst_interface():
                     
                     summary_type = gr.Radio(
                         choices=[
-                            ("🧠 AI Summary (Neural)", "ai"), 
-                            ("📝 Extractive Summary", "extractive")
+                            ("AI Summary (Neural)", "ai"), 
+                            ("Extractive Summary", "extractive")
                         ],
                         value="ai" if TRANSFORMERS_AVAILABLE else "extractive",
                         label="Summarization Method",
@@ -1014,10 +1015,10 @@ def create_catalyst_interface():
                     
                     summary_length = gr.Radio(
                         choices=[
-                            ("⚡ Short & Concise", "short"),
-                            ("📄 Standard Length", "medium"), 
-                            ("📖 Detailed Analysis", "long"),
-                            ("🔍 Comprehensive Report", "detailed")
+                            ("Short & Concise", "short"),
+                            ("Standard Length", "medium"), 
+                            ("Detailed Analysis", "long"),
+                            ("Comprehensive Report", "detailed")
                         ],
                         value="medium",
                         label="Analysis Depth",
@@ -1025,7 +1026,7 @@ def create_catalyst_interface():
                     )
                     
                     analyze_btn = gr.Button(
-                        "🚀 Analyze Document", 
+                        "Analyze Document", 
                         variant="primary", 
                         size="lg",
                         elem_classes="analyze-button"
@@ -1035,18 +1036,18 @@ def create_catalyst_interface():
                 
                 # Enhanced Library Status
                 gr.Markdown(f"""
-                ### 📊 System Status
+                ### System Status
                 
                 **Core Features:**
-                - 📄 **PDF Processing:** {"✅ PyMuPDF" if PYMUPDF_AVAILABLE else ("✅ PyPDF2" if PDF_AVAILABLE else "❌ Not Available")}
-                - 📝 **Word Documents:** {"✅ Available" if DOCX_AVAILABLE else "❌ Install python-docx"}
-                - 🤖 **AI Summarization:** {"✅ Available" if TRANSFORMERS_AVAILABLE else "❌ Install transformers"}
-                - 📈 **Advanced NLP:** {"✅ Available" if NLTK_AVAILABLE else "⚠️ Basic processing"}
-                - 😊 **Sentiment Analysis:** {"✅ Available" if (NLTK_AVAILABLE and summarizer.sentiment_analyzer) else "❌ Not Available"}
+                - **PDF Processing:** {"✅ PyMuPDF" if PYMUPDF_AVAILABLE else ("✅ PyPDF2" if PDF_AVAILABLE else "❌ Not Available")}
+                - **Word Documents:** {"✅ Available" if DOCX_AVAILABLE else "❌ Install python-docx"}
+                - **AI Summarization:** {"✅ Available" if TRANSFORMERS_AVAILABLE else "❌ Install transformers"}
+                - **Advanced NLP:** {"✅ Available" if NLTK_AVAILABLE else "⚠️ Basic processing"}
+                - **Sentiment Analysis:** {"✅ Available" if (NLTK_AVAILABLE and summarizer.sentiment_analyzer) else "❌ Not Available"}
                 
                 **Performance:**
-                - 🔧 **Device:** {"GPU" if DEVICE >= 0 else "CPU"}
-                - 💾 **Cache:** {"Enabled" if summarizer.cache is not None else "Disabled"}
+                - **Device:** {"GPU" if DEVICE >= 0 else "CPU"}
+                - **Cache:** {"Enabled" if summarizer.cache is not None else "Disabled"}
                 """)
             
             # Right column - Enhanced Results
@@ -1122,7 +1123,7 @@ def create_catalyst_interface():
         gr.HTML("""
         <div style="margin-top: 50px; padding: 30px; background: linear-gradient(135deg, #f8f9fa 0%, #e9ecef 100%); 
                     border-radius: 15px; text-align: center; border-top: 3px solid #007bff;">
-            <h3 style="color: #333; margin-bottom: 20px;">🛠️ Installation & Setup</h3>
+            <h3 style="color: #333; margin-bottom: 20px;">Installation & Setup</h3>
             
             <div style="background: #343a40; color: #fff; padding: 15px; border-radius: 8px; 
                         font-family: 'Courier New', monospace; margin: 15px 0;">
@@ -1132,15 +1133,15 @@ def create_catalyst_interface():
             
             <div style="display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-top: 20px;">
                 <div style="background: white; padding: 15px; border-radius: 10px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);">
-                    <strong>🎯 Core Features</strong><br>
+                    <strong>Core Features</strong><br>
                     <small>Multi-format support, AI summarization, key insights extraction</small>
                 </div>
                 <div style="background: white; padding: 15px; border-radius: 10px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);">
-                    <strong>📊 Advanced Analytics</strong><br>
+                    <strong>Advanced Analytics</strong><br>
                     <small>Sentiment analysis, readability scoring, word frequency</small>
                 </div>
                 <div style="background: white; padding: 15px; border-radius: 10px; box-shadow: 0 2px 8px rgba(0,0,0,0.1);">
-                    <strong>🚀 Performance</strong><br>
+                    <strong>Performance</strong><br>
                     <small>Intelligent caching, GPU acceleration, batch processing</small>
                 </div>
             </div>
@@ -1156,8 +1157,7 @@ def create_catalyst_interface():
 if __name__ == "__main__":
     demo = create_catalyst_interface()
     demo.launch(
-    server_name="0.0.0.0",
-    server_port=7860,
-    show_error=True,
-    enable_queue=True
-)
+        server_name="0.0.0.0",
+        server_port=7860,
+        show_error=True
+    )