Update app.py

app.py

@@ -1,4 +1,5 @@
 import re
+import pandas as pd
 import streamlit as st
 import requests
 from PyPDF2 import PdfReader
@@ -114,6 +115,8 @@ job_description = st.text_area("Job Description:", height=200, placeholder="Past
 # Resume Upload
 resumes = st.file_uploader("Upload Your Resumes (PDF or DOCX)", type=["pdf", "docx"], accept_multiple_files=True)
 
+highlighted_data = []  # List to store the highlighted results
+
 if resumes:
     st.write("Uploaded Resumes:")
     for index, resume in enumerate(resumes):
@@ -135,22 +138,51 @@ if st.button("Analyze Resumes"):
                 contact_info = extract_contact_info(resume_text)
                 analysis = analyze_documents(resume_text, job_description)
 
-                # Display Contact Info and Match Percentage
+                # Extract match percentage
+                match_percentage = "Not Found"
+                if "candidates" in analysis:
+                    for candidate in analysis["candidates"]:
+                        if "content" in candidate and "parts" in candidate["content"]:
+                            for part in candidate["content"]["parts"]:
+                                response_text = part["text"]
+                                if "match percentage" in response_text.lower():
+                                    match_percentage = re.search(r'\d{1,3}%', response_text)
+                                    match_percentage = match_percentage.group(0) if match_percentage else "Not Found"
+
+                # Add the data to the list for CSV export and table
+                highlighted_data.append({
+                    "Name": contact_info["name"],
+                    "Email": contact_info["email"],
+                    "Contact": contact_info["phone"],
+                    "Match Percentage": match_percentage
+                })
+
+                # Display contact info and match percentage
                 st.markdown(f"""
                 <div class="highlight">
                     <p><span class="highlight-bold">Name:</span> {contact_info['name']}</p>
                     <p><span class="highlight-bold">Email:</span> {contact_info['email']}</p>
                     <p><span class="highlight-bold">Contact:</span> {contact_info['phone']}</p>
+                    <p><span class="highlight-bold">Match Percentage:</span> <span style="color: green; font-weight: bold;">{match_percentage}</span></p>
                 </div>
                 """, unsafe_allow_html=True)
 
-                # Display analysis results
-                if "candidates" in analysis:
-                    for candidate in analysis["candidates"]:
-                        if "content" in candidate and "parts" in candidate["content"]:
-                            for part in candidate["content"]["parts"]:
-                                response_text = part["text"]
-                                st.markdown(response_text)
+            # Display results in a table
+            if highlighted_data:
+                df = pd.DataFrame(highlighted_data)
+                st.write("### Highlighted Results")
+                st.table(df)
+
+                # Provide CSV download button
+                csv = df.to_csv(index=False)
+                st.download_button(
+                    label="Download Results as CSV",
+                    data=csv,
+                    file_name="resume_analysis_results.csv",
+                    mime="text/csv"
+                )
+
+            st.success("Analysis Complete!")
         else:
             st.error("You can upload a maximum of 10 resumes.")
     else: