Update app.py

app.py

@@ -525,6 +525,67 @@ def calculate_single_relevancy(row):
     score = calculate_relevance_score(page_content, query, co)
     return score
 
+def compare_with_top_result(row, co, country_code):
+    query = row['query']
+    our_url = row['page']
+    
+    # Fetch SERP results
+    serp_results = get_serp_results(query, country_code)
+    
+    if not serp_results:
+        st.error("Unable to fetch SERP results.")
+        return
+    
+    top_result = serp_results[0]
+    top_url = top_result['url']
+    
+    # Fetch content
+    our_content = fetch_content(our_url, query)
+    top_content = top_result['content']
+    
+    # Calculate relevancy scores
+    our_score = calculate_relevance_score(our_content, query, co)
+    top_score = calculate_relevance_score(top_content, query, co)
+    
+    # Prepare prompt for GPT-4
+    prompt = f"""
+    Compare the following two pieces of content for the query "{query}":
+
+    1. Top-ranking page (score: {top_score:.4f}):
+    {top_content[:1000]}...
+
+    2. Our page (score: {our_score:.4f}):
+    {our_content[:1000]}...
+
+    Explain the difference in cosine similarity scores between the top-ranking page and our page. 
+    What can we do to improve our score and make our content more relevant to the query?
+    Provide specific, actionable recommendations.
+    """
+
+    # Call GPT-4
+    try:
+        response = openai_client.chat.completions.create(
+            model="gpt-4o-mini",
+            messages=[
+                {"role": "system", "content": "You are an SEO expert analyzing content relevance."},
+                {"role": "user", "content": prompt}
+            ],
+            max_tokens=1000
+        )
+        analysis = response.choices[0].message.content.strip()
+        
+        # Display results
+        st.subheader("Content Comparison Analysis")
+        st.write(f"Query: {query}")
+        st.write(f"Top-ranking URL: {top_url}")
+        st.write(f"Our URL: {our_url}")
+        st.write(f"Top-ranking score: {top_score:.4f}")
+        st.write(f"Our score: {our_score:.4f}")
+        st.write("Analysis:")
+        st.write(analysis)
+    except Exception as e:
+        st.error(f"Error in GPT-4 analysis: {str(e)}")
+
 def show_tabular_data(df, co, country_code):
     st.write("Data Table with Relevancy Scores")
     
@@ -664,67 +725,6 @@ def show_tabular_data(df, co, country_code):
 
     return df  # Return the updated dataframe
 
-def compare_with_top_result(row, co, country_code):
-    query = row['query']
-    our_url = row['page']
-    
-    # Fetch SERP results
-    serp_results = get_serp_results(query, country_code)
-    
-    if not serp_results:
-        st.error("Unable to fetch SERP results.")
-        return
-    
-    top_result = serp_results[0]
-    top_url = top_result['url']
-    
-    # Fetch content
-    our_content = fetch_content(our_url, query)
-    top_content = top_result['content']
-    
-    # Calculate relevancy scores
-    our_score = calculate_relevance_score(our_content, query, co)
-    top_score = calculate_relevance_score(top_content, query, co)
-    
-    # Prepare prompt for GPT-4
-    prompt = f"""
-    Compare the following two pieces of content for the query "{query}":
-
-    1. Top-ranking page (score: {top_score:.4f}):
-    {top_content[:1000]}...
-
-    2. Our page (score: {our_score:.4f}):
-    {our_content[:1000]}...
-
-    Explain the difference in cosine similarity scores between the top-ranking page and our page. 
-    What can we do to improve our score and make our content more relevant to the query?
-    Provide specific, actionable recommendations.
-    """
-
-    # Call GPT-4
-    try:
-        response = openai_client.chat.completions.create(
-            model="gpt-4o-mini",
-            messages=[
-                {"role": "system", "content": "You are an SEO expert analyzing content relevance."},
-                {"role": "user", "content": prompt}
-            ],
-            max_tokens=1000
-        )
-        analysis = response.choices[0].message.content.strip()
-        
-        # Display results
-        st.subheader("Content Comparison Analysis")
-        st.write(f"Query: {query}")
-        st.write(f"Top-ranking URL: {top_url}")
-        st.write(f"Our URL: {our_url}")
-        st.write(f"Top-ranking score: {top_score:.4f}")
-        st.write(f"Our score: {our_score:.4f}")
-        st.write("Analysis:")
-        st.write(analysis)
-    except Exception as e:
-        st.error(f"Error in GPT-4 analysis: {str(e)}")
-
 def show_date_range_selector():
   #  logging.info("Showing date range selector")
     return st.selectbox(