Update app.py

app.py

@@ -333,17 +333,21 @@ class SEOContentAnalyzer:
 async def run_seo_analysis(api_key: str, keyword: str, client_url: str, competitor_urls_text: str, progress=gr.Progress()):
     """Main function to run SEO analysis"""
     
+    # Create empty dataframes for error cases
+    empty_summary_df = pd.DataFrame(columns=["URL", "Type", "Total Chunks", "Avg Similarity", "Max Similarity"])
+    empty_content_df = pd.DataFrame(columns=["Rank", "Type", "Score", "Content Preview", "URL"])
+    
     if not api_key:
-        return "❌ Please provide your OpenAI API key", "", ""
+        return "❌ Please provide your OpenAI API key", empty_summary_df, empty_content_df
     
     if not keyword or not client_url:
-        return "❌ Please provide both keyword and client URL", "", ""
+        return "❌ Please provide both keyword and client URL", empty_summary_df, empty_content_df
     
     # Parse competitor URLs
     competitor_urls = [url.strip() for url in competitor_urls_text.split('\n') if url.strip()]
     
     if not competitor_urls:
-        return "❌ Please provide at least one competitor URL", "", ""
+        return "❌ Please provide at least one competitor URL", empty_summary_df, empty_content_df
     
     try:
         progress(0.1, desc="Initializing analyzer...")
@@ -353,10 +357,10 @@ async def run_seo_analysis(api_key: str, keyword: str, client_url: str, competit
         crawl_data = await analyzer.crawl_all_urls(client_url, competitor_urls)
         
         if not crawl_data['client']:
-            return "❌ Failed to crawl client URL", "", ""
+            return "❌ Failed to crawl client URL", empty_summary_df, empty_content_df
         
         if not crawl_data['competitors']:
-            return "❌ Failed to crawl any competitor URLs", "", ""
+            return "❌ Failed to crawl any competitor URLs", empty_summary_df, empty_content_df
         
         progress(0.4, desc="Processing content...")
         chunks = analyzer.chunk_content(crawl_data)
@@ -401,7 +405,7 @@ async def run_seo_analysis(api_key: str, keyword: str, client_url: str, competit
         return report, summary_df, top_content_df
         
     except Exception as e:
-        return f"❌ Error during analysis: {str(e)}", "", ""
+        return f"❌ Error during analysis: {str(e)}", empty_summary_df, empty_content_df
 
 def sync_run_seo_analysis(*args):
     """Synchronous wrapper for the async function"""
@@ -409,7 +413,7 @@ def sync_run_seo_analysis(*args):
 
 # Create Gradio Interface
 def create_interface():
-    with gr.Blocks(title="SEO Content Gap Analysis", theme=gr.themes.Soft()) as demo:
+    with gr.Blocks(title="SEO Content Gap Analysis", theme=gr.themes.Monochrome()) as demo:
         gr.Markdown("""
         # 🔍 SEO Content Gap Analysis Tool
         
@@ -467,13 +471,15 @@ def create_interface():
                     with gr.TabItem("📈 Page Summary"):
                         summary_output = gr.Dataframe(
                             label="Page Performance Summary",
-                            headers=["URL", "Type", "Total Chunks", "Avg Similarity", "Max Similarity"]
+                            headers=["URL", "Type", "Total Chunks", "Avg Similarity", "Max Similarity"],
+                            value=pd.DataFrame(columns=["URL", "Type", "Total Chunks", "Avg Similarity", "Max Similarity"])
                         )
                     
                     with gr.TabItem("🎯 Top Content"):
                         top_content_output = gr.Dataframe(
                             label="Top Performing Content Sections",
-                            headers=["Rank", "Type", "Score", "Content Preview", "URL"]
+                            headers=["Rank", "Type", "Score", "Content Preview", "URL"],
+                            value=pd.DataFrame(columns=["Rank", "Type", "Score", "Content Preview", "URL"])
                         )
         
         # Example section