Update app.py

app.py

@@ -4,6 +4,40 @@ import pdfplumber
 import re
 from collections import Counter
 
+# Custom CSS for UI enhancements
+def apply_custom_css():
+    st.markdown("""
+        <style>
+            .title { 
+                font-size: 2.5rem; 
+                color: #4CAF50; 
+                text-align: center; 
+                margin-bottom: 20px; 
+            }
+            .subtitle { 
+                font-size: 1.5rem; 
+                color: #FF5722; 
+                margin-top: 20px; 
+                margin-bottom: 10px; 
+            }
+            .metric { 
+                font-size: 1.2rem; 
+                text-align: center; 
+            }
+            .separator { 
+                border-top: 2px solid #eee; 
+                margin-top: 30px; 
+                margin-bottom: 30px; 
+            }
+            .suggestions { 
+                background-color: #f9f9f9; 
+                border-left: 4px solid #2196F3; 
+                padding: 10px; 
+                margin: 10px 0; 
+            }
+        </style>
+    """, unsafe_allow_html=True)
+
 # Function to extract text from PDF
 def extract_text_from_pdf(pdf_file):
     with pdfplumber.open(pdf_file) as pdf:
@@ -83,15 +117,19 @@ def calculate_job_fit_score(resume_text, job_description):
 
 # Main App
 def main():
-    st.title("ATS Resume Checker with Job Description Matching")
+    apply_custom_css()
+
+    st.markdown("<div class='title'>ATS Resume Checker</div>", unsafe_allow_html=True)
     st.write(
         "Upload your resume to check its ATS-friendliness and compare it with a job description for keyword matching."
     )
 
+    st.markdown("<hr class='separator'>", unsafe_allow_html=True)
+
     uploaded_resume = st.file_uploader(
-        "Upload your Resume (PDF or Word):", type=["pdf", "docx"]
+        "📂 Upload your Resume (PDF or Word):", type=["pdf", "docx"]
     )
-    job_description = st.text_area("Paste the Job Description:")
+    job_description = st.text_area("📋 Paste the Job Description:")
 
     if uploaded_resume:
         # Extract text based on file type
@@ -104,46 +142,41 @@ def main():
             return
 
         # Analyze ATS-friendliness
-        st.subheader("ATS Analysis")
+        st.markdown("<div class='subtitle'>🛠️ ATS Analysis</div>", unsafe_allow_html=True)
         ats_score, ats_suggestions = check_ats_friendly(resume_text)
         st.metric("ATS Score", f"{ats_score}/100")
         if ats_score >= 80:
-            st.success("Your resume is ATS-friendly!")
+            st.success("✅ Your resume is ATS-friendly!")
         else:
-            st.warning("Your resume needs improvement to be ATS-friendly.")
+            st.warning("⚠️ Your resume needs improvement to be ATS-friendly.")
 
         # Display ATS suggestions
-        st.subheader("Suggestions for ATS Improvement")
+        st.markdown("<div class='subtitle'>📝 Suggestions for ATS Improvement</div>", unsafe_allow_html=True)
         if ats_suggestions:
             for idx, suggestion in enumerate(ats_suggestions, 1):
-                st.write(f"{idx}. {suggestion}")
+                st.markdown(f"<div class='suggestions'>{idx}. {suggestion}</div>", unsafe_allow_html=True)
         else:
-            st.write("No specific suggestions. Your resume looks great!")
+            st.write("Your resume is well-optimized for ATS!")
+
+        st.markdown("<hr class='separator'>", unsafe_allow_html=True)
 
         # Analyze Job Fit
         if job_description.strip():
-            st.subheader("Job Description Matching")
+            st.markdown("<div class='subtitle'>🔍 Job Description Matching</div>", unsafe_allow_html=True)
             job_fit_score, job_fit_suggestions, missing_keywords = calculate_job_fit_score(
                 resume_text, job_description
             )
             st.metric("Job Fit Score", f"{job_fit_score:.2f}%")
             if job_fit_score >= 70:
-                st.success("Your resume matches well with the job description!")
+                st.success("✅ Your resume matches well with the job description!")
             else:
-                st.warning("Your resume could be tailored better to match the job description.")
+                st.warning("⚠️ Your resume could be tailored better to match the job description.")
 
             # Display job fit suggestions
-            st.subheader("Suggestions for Job Matching Improvement")
-            if job_fit_suggestions:
-                for idx, suggestion in enumerate(job_fit_suggestions, 1):
-                    st.write(f"{idx}. {suggestion}")
-            else:
-                st.write("No specific suggestions. Great match!")
-
-            # Recommend missing keywords
+            st.markdown("<div class='subtitle'>🔑 Missing Keywords</div>", unsafe_allow_html=True)
             if missing_keywords:
-                st.subheader("Recommended Keywords to Add for 100% Match")
-                st.write(", ".join(missing_keywords))
+                st.write("To improve matching, consider including these keywords:")
+                st.markdown(f"<div class='suggestions'>{', '.join(missing_keywords)}</div>", unsafe_allow_html=True)
             else:
                 st.write("Your resume already includes all the required keywords!")