Update app.py

app.py

@@ -1,3 +1,4 @@
+import re
 import streamlit as st
 import requests
 from PyPDF2 import PdfReader
@@ -22,6 +23,25 @@ def extract_text_from_docx(docx_file):
         text += para.text + "\n"
     return text
 
+def extract_contact_info(resume_text):
+    """Extract name, email, and phone number from resume text."""
+    # Regex patterns for email and phone
+    email_pattern = r'[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}'
+    phone_pattern = r'\+?\d[\d -]{8,12}\d'
+    
+    # Attempt to extract contact details
+    email = re.search(email_pattern, resume_text)
+    phone = re.search(phone_pattern, resume_text)
+    
+    # Extract Name (assuming first line of the resume might be the name)
+    name = resume_text.splitlines()[0].strip() if resume_text else "Name Not Found"
+    
+    return {
+        "name": name,
+        "email": email.group() if email else "Email Not Found",
+        "phone": phone.group() if phone else "Contact Not Found"
+    }
+
 def analyze_documents(resume_text, job_description):
     custom_prompt = f"""
     Please analyze the following resume in the context of the job description provided. Strictly check every single line in the job description and analyze my resume whether there is a match exactly. Strictly maintain high ATS standards and give scores only to the correct ones. Focus on hard skills which are missing and also soft skills which are missing. Provide the following details.:
@@ -71,113 +91,67 @@ st.set_page_config(page_title="ATS Resume Evaluation System", layout="wide")
 # Custom styles for headers, buttons, and sections
 st.markdown("""
     <style>
-    .title {
-        text-align: center;
-        font-size: 40px;
-        font-weight: bold;
-        color: #4CAF50;
-        font-family: 'Arial', sans-serif;
-    }
-    .subtitle {
-        text-align: center;
-        font-size: 22px;
-        color: #6c757d;
-        font-family: 'Arial', sans-serif;
-    }
-    .section-header {
-        font-size: 24px;
-        color: #333333;
-        margin-top: 20px;
+    .highlight {
+        background-color: #f9f9f9;
+        border-left: 6px solid #4CAF50;
+        padding: 10px;
         margin-bottom: 10px;
-        font-family: 'Arial', sans-serif;
-    }
-    .button {
-        background-color: #4CAF50;
-        color: white;
-        font-size: 18px;
-        padding: 12px 24px;
-        border-radius: 8px;
-        width: 100%;
-        margin: 20px 0;
-        box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
-    }
-    .button:hover {
-        background-color: #45a049;
-        cursor: pointer;
-    }
-    .file-upload {
-        background-color: #f8f8f8;
-        padding: 20px;
-        border-radius: 10px;
-        border: 1px solid #e0e0e0;
-    }
-    .resume-content {
-        background-color: #f1f1f1;
-        border-radius: 8px;
-        padding: 15px;
-        margin-top: 10px;
+        font-size: 16px;
     }
-    .highlight {
+    .highlight-bold {
         font-weight: bold;
         color: #4CAF50;
-        font-size: 16px;
-    }
-    .spinner {
-        margin-top: 20px;
     }
     </style>
 """, unsafe_allow_html=True)
 
-# Remove navigation and use centered layout
-st.markdown('<div class="title">📄🔍 Resume Evaluation System 📊</div>', unsafe_allow_html=True)  # Updated title with both emojis
-st.markdown('<div class="subtitle">Upload your resume and job description to evaluate match with job requirements</div>', unsafe_allow_html=True)
+# Main Title
+st.markdown('<h1 style="text-align: center; color: #4CAF50;">📄🔍 Resume Evaluation System 📊</h1>', unsafe_allow_html=True)
 
-# Section for Job Description
-job_description = st.text_area("Job Description:", height=200, placeholder="Paste the job description here...", label_visibility="collapsed")
+# Job Description Input
+job_description = st.text_area("Job Description:", height=200, placeholder="Paste the job description here...")
 
-# Section for uploading resumes
-st.markdown('<div class="section-header">Upload Resumes (PDF or DOCX)</div>', unsafe_allow_html=True)
-resumes = st.file_uploader("Upload your resumes", type=["pdf", "docx"], accept_multiple_files=True)
+# Resume Upload
+resumes = st.file_uploader("Upload Your Resumes (PDF or DOCX)", type=["pdf", "docx"], accept_multiple_files=True)
 
 if resumes:
     st.write("Uploaded Resumes:")
     for index, resume in enumerate(resumes):
         st.write(f"📄 {resume.name}")
-        display_resume(resume, index)  # Passing the index to ensure unique keys
+        display_resume(resume, index)
 
-# Section for analysis button
-st.markdown('<div class="section-header">Analyze Resumes</div>', unsafe_allow_html=True)
-if st.button("Analyze Resumes", key="analyze_button", help="Click to analyze the uploaded resumes against the job description"):
+# Analysis Button
+if st.button("Analyze Resumes"):
     if job_description and resumes:
-        if len(resumes) <= 10:  # Limit to a maximum of 10 resumes
-            with st.spinner("Analyzing..."):
-                for index, resume in enumerate(resumes):
-                    resume.seek(0)  # Reset the file pointer
-                    file_type = resume.name.split('.')[-1].lower()
-
-                    # Extract resume text based on file type
-                    if file_type == 'pdf':
-                        resume_text = extract_text_from_pdf(resume)
-                    elif file_type == 'docx':
-                        resume_text = extract_text_from_docx(resume)
-
-                    # Analyze the resume text
-                    analysis = analyze_documents(resume_text, job_description)
-
-                    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"]
-
-                                    # Highlight match percentage by looking for the keyword "match percentage"
-                                    response_text = response_text.replace("Match Percentage:", '<span class="highlight">Match Percentage:</span>')
-
-                                    # Display the analysis results
-                                    st.markdown(response_text, unsafe_allow_html=True)
-
-            st.success("Analysis Complete!")
+        if len(resumes) <= 10:
+            for index, resume in enumerate(resumes):
+                resume.seek(0)  # Reset file pointer
+                file_type = resume.name.split('.')[-1].lower()
+                if file_type == 'pdf':
+                    resume_text = extract_text_from_pdf(resume)
+                elif file_type == 'docx':
+                    resume_text = extract_text_from_docx(resume)
+
+                contact_info = extract_contact_info(resume_text)
+                analysis = analyze_documents(resume_text, job_description)
+
+                # 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>
+                </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)
         else:
             st.error("You can upload a maximum of 10 resumes.")
     else:
-        st.error("Please enter the job description and upload at least one resume.")
+        st.error("Please provide the job description and upload resumes.")