Update app.py

app.py

@@ -542,46 +542,46 @@ if uploaded_file is not None and st.button("Analyze My Google Fit"):
         st.info(f"Summary generated in {summarization_time:.2f} seconds")
         
         # Step 3: Generate Google fit assessment
-status_text.text("Step 3/3: Evaluating Google fit...")
-assessment, match_percentage, category_details, assessment_time = analyze_google_fit(summary)
-progress_bar.progress(100)
+        status_text.text("Step 3/3: Evaluating Google fit...")
+        assessment, match_percentage, category_details, assessment_time = analyze_google_fit(summary)
+        progress_bar.progress(100)
 
-# Clear status messages
-status_text.empty()
+        # Clear status messages
+        status_text.empty()
 
-# Display Google fit results
-st.subheader("Google Fit Assessment")
+        # Display Google fit results
+        st.subheader("Google Fit Assessment")
 
-# Display match percentage with appropriate color and emoji - with more realistic thresholds
-if match_percentage >= 85:
-    st.success(f"**Overall Google Match Score:** {match_percentage}% 🌟")
-elif match_percentage >= 70:
-    st.success(f"**Overall Google Match Score:** {match_percentage}% ✅")
-elif match_percentage >= 50:
-    st.warning(f"**Overall Google Match Score:** {match_percentage}% ⚠️")
-else:
-    st.error(f"**Overall Google Match Score:** {match_percentage}% 🔍")
+        # Display match percentage with appropriate color and emoji - with more realistic thresholds
+        if match_percentage >= 85:
+            st.success(f"**Overall Google Match Score:** {match_percentage}% 🌟")
+        elif match_percentage >= 70:
+            st.success(f"**Overall Google Match Score:** {match_percentage}% ✅")
+        elif match_percentage >= 50:
+            st.warning(f"**Overall Google Match Score:** {match_percentage}% ⚠️")
+        else:
+            st.error(f"**Overall Google Match Score:** {match_percentage}% 🔍")
 
-# NEW ADDITION: Add detailed score breakdown
-st.markdown("### Score Breakdown")
+        # NEW ADDITION: Add detailed score breakdown
+        st.markdown("### Score Breakdown")
 
-# Create a neat table with category scores
-breakdown_data = []
-for category, details in category_details.items():
-    label = {"technical_skills": "Technical Programming Skills",
+        # Create a neat table with category scores
+        breakdown_data = []
+        for category, details in category_details.items():
+            label = {"technical_skills": "Technical Programming Skills",
              "advanced_tech": "Advanced Technology Knowledge",
              "problem_solving": "Problem Solving Abilities", 
              "innovation": "Innovation Mindset",
              "soft_skills": "Collaboration & Leadership"}[category]
     
-    # Create a visual indicator for the score
-    score = details["adjusted_score"]
+            # Create a visual indicator for the score
+            score = details["adjusted_score"]
     
-    # Add formatted breakdown row
-    breakdown_data.append({
-        "Category": label,
-        "Score": f"{score}%",
-        "Matching Skills": ", ".join(details["matching_keywords"][:3]) if details["matching_keywords"] else "None detected"
+            # Add formatted breakdown row
+            breakdown_data.append({
+                "Category": label,
+                "Score": f"{score}%",
+                "Matching Skills": ", ".join(details["matching_keywords"][:3]) if details["matching_keywords"] else "None detected"
     })
 
         # Convert to DataFrame and display