Update app.py

app.py

@@ -207,8 +207,8 @@ class GEOSEOApp:
                 options=[
                     "standard", 
                     "seo", 
-                    "competitive", 
-                    "voice_search", 
+                    # "competitive", 
+                    # "voice_search", 
                     # "batch_optimize",
                     # "content_variations",
                     "readability_analysis",
@@ -217,8 +217,8 @@ class GEOSEOApp:
                 format_func=lambda x: {
                     "standard": "🔧 Standard Enhancement",
                     "seo": "🌐 SEO-Focused Optimization", 
-                    "competitive": "📊 Competitive Analysis",
-                    "voice_search": "🎤 Voice Search Optimization",
+                    # "competitive": "📊 Competitive Analysis",
+                    # "voice_search": "🎤 Voice Search Optimization",
                     # "batch_optimize": "📦 Batch Optimization",
                     # "content_variations": "🔄 Content Variations",
                     "readability_analysis": "📖 Readability Analysis",
@@ -230,24 +230,24 @@ class GEOSEOApp:
         
         with col2:
             # Additional options based on optimization type
-            if optimization_type in ["standard", "seo", "competitive", "voice_search", "readability_analysis"]:
+            if optimization_type in ["standard", "seo", "competitive", "readability_analysis"]:
                 analyze_only = st.checkbox("Analysis only (no rewriting)", value=False)
-                include_keywords = st.checkbox("Include keyword suggestions", value=True)
+                # include_keywords = st.checkbox("Include keyword suggestions", value=True)
             # elif optimization_type == "batch_optimize":
             #     st.info("For batch optimization, separate multiple content pieces with '---' in the text area above")
             # elif optimization_type == "content_variations":
             #     num_variations = st.slider("Number of variations", min_value=1, max_value=5, value=3)
             else:
                 analyze_only = False
-                include_keywords = True
+                # include_keywords = True
                 # num_variations = 3
         
         # Show description based on optimization type
         optimization_descriptions = {
             "standard": "General content enhancement focusing on clarity, structure, and AI answerability.",
             "seo": "SEO-focused optimization for AI search engines with semantic keyword analysis.",
-            "competitive": "Competitive analysis against AI search best practices with gap identification.",
-            "voice_search": "Optimization for voice search and conversational AI systems.",
+            # "competitive": "Competitive analysis against AI search best practices with gap identification.",
+            # "voice_search": "Optimization for voice search and conversational AI systems.",
             # "batch_optimize": "Process multiple content pieces simultaneously.",
             # "content_variations": "Generate multiple optimized variations of the same content.",
             "readability_analysis": "Detailed readability analysis specifically for AI systems.",
@@ -269,7 +269,8 @@ class GEOSEOApp:
                         result = self.content_optimizer.optimize_content(
                             input_text,
                             analyze_only=analyze_only,
-                            include_keywords=include_keywords,
+                            include_keywords=True,
+                            # include_keywords=include_keywords,
                             optimization_type="standard"
                         )
                     
@@ -277,18 +278,19 @@ class GEOSEOApp:
                         result = self.content_optimizer.optimize_content(
                             input_text,
                             analyze_only=analyze_only,
-                            include_keywords=include_keywords,
+                            include_keywords=True,
+                            # include_keywords=include_keywords,
                             optimization_type="seo"
                         )
                     
-                    elif optimization_type == "competitive":
-                        result = self.content_optimizer.optimize_content(
-                            input_text,
-                            optimization_type="competitive"
-                        )
+                    # elif optimization_type == "competitive":
+                    #     result = self.content_optimizer.optimize_content(
+                    #         input_text,
+                    #         optimization_type="competitive"
+                    #     )
                     
-                    elif optimization_type == "voice_search":
-                        result = self.content_optimizer.optimize_for_voice_search(input_text)
+                    # elif optimization_type == "voice_search":
+                    #     result = self.content_optimizer.optimize_for_voice_search(input_text)
                     
                     # elif optimization_type == "batch_optimize":
                     #     # Split content by '---' separator
@@ -333,8 +335,8 @@ class GEOSEOApp:
             self.display_readability_results(result)
         # elif optimization_type == "entity_extraction":
         #     self.display_entity_results(result)
-        elif optimization_type == "voice_search":
-            self.display_voice_search_results(result)
+        # elif optimization_type == "voice_search":
+        #     self.display_voice_search_results(result)
         else:
             self.display_standard_results(result, optimization_type)
         
@@ -555,57 +557,60 @@ class GEOSEOApp:
             for q in questions:
                 st.write(f"• {q}")
 
-    def display_voice_search_results(self, result):
-        """Display voice search optimization results"""
-        st.markdown("### 🎤 Voice Search Optimization")
-        
-        # Conversational score
-        conv_score = result.get('conversational_score', 0)
-        if conv_score:
-            st.metric("Conversational Score", f"{conv_score}/10")
-        
-        # Question-answer pairs
-        qa_pairs = result.get('question_answer_pairs', [])
-        if qa_pairs:
-            st.markdown("#### ❓ Question-Answer Pairs")
-            for qa in qa_pairs:
-                st.write(f"**Q:** {qa.get('question', '')}")
-                st.write(f"**A:** {qa.get('answer', '')}")
-                st.write("---")
-        
-        # Featured snippet candidates
-        snippets = result.get('featured_snippet_candidates', [])
-        if snippets:
-            st.markdown("#### 🌟 Featured Snippet Candidates")
-            for i, snippet in enumerate(snippets, 1):
-                st.write(f"**{i}.** {snippet}")
-        
-        # Voice optimized content
-        voice_content = result.get('voice_optimized_content', '')
-        if voice_content:
-            st.markdown("#### 🎤 Voice-Optimized Content")
-            st.text_area("Conversational version:", value=voice_content, height=200, key="voice_output")
+    # def display_voice_search_results(self, result):
+    #     """Display voice search optimization results"""
+    #     st.markdown("### 🎤 Voice Search Optimization")
+        
+    #     # Conversational score
+    #     conv_score = result.get('conversational_score', 0)
+    #     if conv_score:
+    #         st.metric("Conversational Score", f"{conv_score}/10")
+        
+    #     # Question-answer pairs
+    #     qa_pairs = result.get('question_answer_pairs', [])
+    #     if qa_pairs:
+    #         st.markdown("#### ❓ Question-Answer Pairs")
+    #         for qa in qa_pairs:
+    #             st.write(f"**Q:** {qa.get('question', '')}")
+    #             st.write(f"**A:** {qa.get('answer', '')}")
+    #             st.write("---")
+        
+    #     # Featured snippet candidates
+    #     snippets = result.get('featured_snippet_candidates', [])
+    #     if snippets:
+    #         st.markdown("#### 🌟 Featured Snippet Candidates")
+    #         for i, snippet in enumerate(snippets, 1):
+    #             st.write(f"**{i}.** {snippet}")
+        
+    #     # Voice optimized content
+    #     voice_content = result.get('voice_optimized_content', '')
+    #     if voice_content:
+    #         st.markdown("#### 🎤 Voice-Optimized Content")
+    #         st.text_area("Conversational version:", value=voice_content, height=200, key="voice_output")
 
     def display_export_options(self, result, optimization_type, original_text):
         """Display export options for results"""
         st.markdown("### 📥 Export Results")
         
-        if st.button("📊 Generate Report", key="export_button"):
-            import time
-            export_data = {
-                'timestamp': time.time(),
-                'optimization_type': optimization_type,
-                'original_text': original_text,
-                'original_word_count': len(original_text.split()),
-                'results': result
-            }
-            
-            st.download_button(
-                label="Download Analysis Report",
-                data=json.dumps(export_data, indent=2),
-                file_name=f"{optimization_type}_analysis_{int(time.time())}.json",
-                mime="application/json"
-            )
+        # Prepare export data
+        export_data = {
+            'timestamp': time.time(),
+            'optimization_type': optimization_type,
+            'original_text': original_text,
+            'original_word_count': len(original_text.split()),
+            'results': result
+        }
+        
+        # Serialize data to JSON
+        export_json = json.dumps(export_data, indent=2)
+        
+        # Add download button for direct download
+        st.download_button(
+            label="📥 Download Analysis Report",
+            data=export_json,
+            file_name=f"{optimization_type}_analysis_{int(time.time())}.json",
+            mime="application/json"
+        )
     
     def render_website_analysis_tab(self):
         """Render Website GEO Analysis tab"""