Update app.py

app.py

@@ -595,50 +595,86 @@ def cover_letter_generator_page():
                 st.error("Failed to generate cover letter.")
 
 def resume_analysis_page():
-    st.header("Resume Analysis and Optimization")
+    st.header("📄 Resume Analysis and Optimization")
 
-    uploaded_file = st.file_uploader("Upload your resume (PDF format):", type="pdf")
+    st.write("""
+    Enhance your resume's effectiveness with our comprehensive analysis tools. Upload your resume to extract key information, receive optimization suggestions, and visualize your skills and experience.
+    """)
+
+    uploaded_file = st.file_uploader("📂 Upload your resume (PDF format):", type="pdf")
 
     if uploaded_file:
         resume_text = extract_text_from_pdf(uploaded_file)
         if resume_text:
-            st.success("Resume uploaded successfully!")
-            # Perform analysis
-            st.subheader("Extracted Information")
-            # Extracted skills
-            skills = extract_skills(resume_text)
-            st.write("**Skills:**", ', '.join(skills) if skills else "No skills extracted.")
-            # Extract keywords
-            keywords = suggest_keywords(resume_text)
-            st.write("**Suggested Keywords for ATS Optimization:**", ', '.join(keywords) if keywords else "No keywords suggested.")
-            # Provide optimization suggestions
-            st.subheader("Optimization Suggestions")
+            st.success("✅ Resume uploaded successfully!")
+
+            # Extracted Information
+            st.subheader("🔍 Extracted Information")
+
+            # Create tabs for organized sections
+            tabs = st.tabs(["💼 Skills", "🔑 Suggested Keywords"])
+
+            with tabs[0]:
+                skills = extract_skills(resume_text)
+                if skills:
+                    st.markdown("**Identified Skills:**")
+                    # Display skills as tags or bullet points
+                    cols = st.columns(4)
+                    for idx, skill in enumerate(skills, 1):
+                        cols[idx % 4].write(f"- {skill}")
+                else:
+                    st.info("No skills extracted.")
+
+            with tabs[1]:
+                keywords = suggest_keywords(resume_text)
+                if keywords:
+                    st.markdown("**Suggested Keywords for ATS Optimization:**")
+                    # Display keywords as tags
+                    cols = st.columns(4)
+                    for idx, keyword in enumerate(keywords, 1):
+                        cols[idx % 4].write(f"- {keyword}")
+                else:
+                    st.info("No keywords suggested.")
+
+            # Optimization Suggestions
+            st.subheader("🛠️ Optimization Suggestions")
             if keywords:
-                st.write("- **Keyword Optimization:** Incorporate the suggested keywords to improve ATS compatibility.")
+                st.markdown("""
+                - **Keyword Optimization:** Incorporate the suggested keywords to improve ATS compatibility.
+                - **Enhance Relevant Sections:** Highlight skills and experiences that align closely with job descriptions.
+                """)
             else:
-                st.write("- **Keyword Optimization:** No keywords suggested.")
-            st.write("- **Formatting:** Ensure consistent formatting for headings and bullet points to enhance readability.")
-            st.write("- **Experience Details:** Provide specific achievements and quantify your accomplishments where possible.")
+                st.markdown("- **Keyword Optimization:** No keywords suggested.")
+            st.markdown("""
+                - **Formatting:** Ensure consistent formatting for headings, bullet points, and text alignment to enhance readability.
+                - **Quantify Achievements:** Where possible, quantify your accomplishments to demonstrate impact.
+                - **Tailor Your Resume:** Customize your resume for each job application to emphasize relevant experiences.
+            """)
 
             # Visual Resume Analytics
-            st.subheader("Visual Resume Analytics")
-            # Skill Distribution Chart
-            if skills:
-                st.write("**Skill Distribution:**")
-                fig_skills = create_skill_distribution_chart(skills)
-                st.plotly_chart(fig_skills)
-            else:
-                st.write("**Skill Distribution:** No skills to display.")
+            st.subheader("📊 Visual Resume Analytics")
 
-            # Experience Timeline (if applicable)
-            fig_experience = create_experience_timeline(resume_text)
-            if fig_experience:
-                st.write("**Experience Timeline:**")
-                st.plotly_chart(fig_experience)
-            else:
-                st.write("**Experience Timeline:** Not enough data to generate a timeline.")
+            # Create two columns for charts
+            viz_col1, viz_col2 = st.columns(2)
+
+            with viz_col1:
+                if skills:
+                    st.markdown("**Skill Distribution:**")
+                    fig_skills = create_skill_distribution_chart(skills)
+                    st.plotly_chart(fig_skills, use_container_width=True)
+                else:
+                    st.info("No skills to display.")
+
+            with viz_col2:
+                fig_experience = create_experience_timeline(resume_text)
+                if fig_experience:
+                    st.markdown("**Experience Timeline:**")
+                    st.plotly_chart(fig_experience, use_container_width=True)
+                else:
+                    st.info("Not enough data to generate an experience timeline.")
 
             # Save the resume and analysis to the database
+            st.subheader("💾 Save Resume Analysis")
             if st.button("Save Resume Analysis"):
                 add_application(
                     job_title="N/A",
@@ -651,9 +687,10 @@ def resume_analysis_page():
                     resume_text=resume_text,
                     skills=skills
                 )
-                st.success("Resume analysis saved successfully!")
+                st.success("✅ Resume analysis saved successfully!")
         else:
-            st.error("Failed to extract text from resume.")
+            st.error("❌ Failed to extract text from resume.")
+
 
 def application_tracking_dashboard():
     st.header("Application Tracking Dashboard")