app.py

# ==========================
# Import Required Libraries
# ==========================
import matplotlib.pyplot as plt
import streamlit as st

from utils.pdf_reader import extract_text
from utils.skill_extractor import extract_skills
from utils.ats_score import calculate_ats_score
from ai.ai_feedback import generate_ai_feedback



# ==========================
# Page Configuration
# ==========================

st.set_page_config(
    page_title="AI Resume Analyzer",
    page_icon="📄",
    layout="wide"
)

# ==========================
# Sidebar
# ==========================

st.sidebar.title("📄 AI Resume Analyzer")

st.sidebar.markdown("""
### Instructions

1. Upload Resume (PDF)

2. Paste Job Description

3. View ATS Score

4. Analyze Missing Skills

---
""")

st.sidebar.success("🚀 Version 2.0 (Gemini AI Powered)")


# ==========================
# Title
# ==========================

st.title("📄 AI Resume Analyzer")

st.markdown("""
Welcome to the **AI Resume Analyzer**!

This application helps job seekers improve their resumes by:

- 📄 Extracting text from uploaded PDF resumes
- 🧠 Detecting technical skills using NLP
- 🎯 Comparing resumes with Job Descriptions
- 📊 Calculating an ATS-style Resume Match Score
- 🤖 Generating personalized AI feedback using Gemini
- 📥 Downloading a detailed ATS report

Upload your resume to get started.
""")


# ==========================
# Resume Upload
# ==========================

uploaded_file = st.file_uploader(
    "📄 Upload Your Resume (PDF)",
    type=["pdf"]
)


# ==========================
# Process Resume
# ==========================

if uploaded_file:

    st.success("✅ Resume Uploaded Successfully!")

    # Extract Resume Text
    resume_text = extract_text(uploaded_file)

    # Extract Resume Skills
    resume_skills = list(dict.fromkeys(extract_skills(resume_text)))
    
    left, right = st.columns([1.3, 1])
    with left:

        st.subheader("📄 Extracted Resume")

        st.text_area(
            "Resume Content",
            resume_text,
            height=420
        )

        st.subheader("🛠 Resume Skills")

        if resume_skills:

            st.markdown(
                " ".join(
                    [f"`{skill}`" for skill in resume_skills]
                ))

        else:

            st.warning("No matching skills found.")
    
    
    
    

    

    # ==========================
    # Job Description
    # ==========================

   

    with right:

        st.subheader("📋 Job Description")

        jd = st.text_area(
        "Paste the Job Description Here",
        height=220
        )

        if jd:

            jd_skills = extract_skills(jd)

            score, matched_skills, missing_skills = calculate_ats_score(
                resume_skills,
                jd_skills
            )

            st.subheader("📊 Resume Statistics")

            col1, col2, col3, col4 = st.columns(4)

            col1.metric("ATS Score", f"{score}%")
            col2.metric("Resume Skills", len(resume_skills))
            col3.metric("Matched", len(matched_skills))
            col4.metric("Missing", len(missing_skills))

            st.subheader("📈 ATS Resume Match Score")

            st.progress(score / 100)
            st.metric(
            label="Resume Match",
            value=f"{score}%"
             )
            # ---------- ADDED FROM HERE ----------

            if score >= 90:

                st.success("🟢 Excellent! Your resume is highly ATS-friendly.")

            elif score >= 75:

                st.info("🔵 Good! Your resume matches most job requirements.")

            elif score >= 60:

                st.warning("🟡 Average. Add more relevant skills to improve your ATS score.")

            else:

                st.error("🔴 Needs Improvement. Consider adding the missing skills listed below.")

            # ---------- STOPPED HERE ----------
            st.subheader("✅ Matched Skills")

            if matched_skills:
                st.success(", ".join(matched_skills))
            else:
                st.warning("No matched skills found.")

            st.subheader("❌ Missing Skills")

            if missing_skills:
                st.error(", ".join(missing_skills))
            else:
                st.success("🎉 Great! Your resume matches all required skills.")
                
            st.subheader("💡 Resume Improvement Suggestions")
            if missing_skills:

                    for skill in missing_skills:

                        st.write(
                            f"✅ Add **{skill}** to your resume if you have experience with it."
                        )

            else:

                    st.success("🎉 Your resume already matches the job requirements.")
                    
                    # //AI FEEDBACK
            st.subheader("🤖 Gemini AI Career Coach")
            feedback = ""
            with st.spinner("🤖 Gemini AI is analyzing your resume..."):

                try:
                    feedback = generate_ai_feedback(
                    score,
                    matched_skills,
                    missing_skills
                 )
                    st.markdown(feedback)

                except Exception as e:
                   st.warning(
                    "⚠ Gemini AI is currently busy. Please try again in a few moments."
                )
                                
            st.subheader("📊 Resume Skill Match Distribution")
            fig, ax = plt.subplots(figsize=(5,5))
            ax.set_title("Skill Match Distribution")

            ax.pie(
                    [len(matched_skills), len(missing_skills)],
                    labels=["Matched", "Missing"],
                    colors=["#2ECC71", "#E74C3C"],
                    autopct="%1.1f%%",
                    startangle=90
                )

            ax.axis("equal")

            st.pyplot(fig)
            plt.close(fig)
            
            
            
            st.divider()
            st.subheader("📥 Download Analysis")

            report = f"""
        ==============================
        AI Resume Analyzer Report
        ==============================

        ATS Score : {score}%

        Resume Skills:
        {', '.join(resume_skills)}

        Matched Skills:
        {', '.join(matched_skills)}

        Missing Skills:
        {', '.join(missing_skills)}
        """
        
            report += "\n\nResume Improvement Suggestions:\n"
            report += "\n\nAI Feedback:\n"
            report += feedback

            if missing_skills:
                 for skill in missing_skills:
                    report += f"• Consider adding {skill} if you have practical experience with it.\n"
            else:
                report += "Excellent! Your resume already matches the job description.\n"

            st.download_button(
            label="📥 Download ATS Report",
            data=report,
            file_name="ATS_Report.txt",
            mime="text/plain"
            )
            
        
        #order of my app-
                                #         Upload Resume

                                #               ↓

                                #         Extract Resume Text

                                #               ↓

                                #          Resume Skills

                                #               ↓

                                #         Paste Job Description

                                #               ↓

                                #       Resume Statistics

                                #               ↓

                                #       ATS Progress Bar

                                #               ↓

                                #          ATS Feedback

                                #               ↓

                                #           Matched Skills

                                #               ↓

                                #        Missing Skills

                                #               ↓

                                #       Resume Suggestions

                                #               ↓

                                #           Pie Chart

                                #               ↓

                                #        Download Report