app.py

import os
import streamlit as st
from dotenv import load_dotenv
from PIL import Image
import google.generativeai as genai
from pdf2image import convert_from_path
import pytesseract
import pdfplumber

# Load environment variables
load_dotenv()

# Configure Google Gemini AI
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))


# Function to extract text from PDF
def extract_text_from_pdf(pdf_path):
    text = ""
    try:
        # Try direct text extraction
        with pdfplumber.open(pdf_path) as pdf:
            for page in pdf.pages:
                page_text = page.extract_text()
                if page_text:
                    text += page_text

        if text.strip():
            return text.strip()
    except Exception as e:
        print(f"Direct text extraction failed: {e}")
    
# Fallback to OCR for image-based PDFs
    print("Falling back to OCR for image-based PDF.")
    try:
        images = convert_from_path(pdf_path)
        for image in images:
            page_text = pytesseract.image_to_string(image)
            text += page_text + "\n"
    except Exception as e:
        print(f"OCR failed: {e}")
        return text.strip()
# Function to get response from Gemini AI
def analyze_resume(resume_text, job_description=None):
    if not resume_text:
        return {"error": "Resume text is required for analysis."}
    
    model = genai.GenerativeModel("gemini-1.5-flash")
    
    base_prompt = f"""
    You are an experienced HR with Technical Experience in the field of any one job role from Data Science, Data Analyst, DevOPS, Machine Learning Engineer, Prompt Engineer, AI Engineer, Full Stack Web Development, Big Data Engineering, Marketing Analyst, Human Resource Manager, Software Developer your task is to review the provided resume.
    Please share your professional evaluation on whether the candidate's profile aligns with the role.ALso mention Skills he already have and siggest some skills to imorve his resume , alos suggest some course he might take to improve the skills.Highlight the strengths and weaknesses.

    Resume:
    {resume_text}
    """

    if job_description:
        base_prompt += f"""
        Additionally, compare this resume to the following job description:
        
        Job Description:
        {job_description}
        
        Highlight the strengths and weaknesses of the applicant in relation to the specified job requirements.
        """

    response = model.generate_content(base_prompt)

    analysis = response.text.strip()
    return analysis


# Streamlit app

st.set_page_config(page_title="Resume Analyzer", layout="wide")
# Title
st.title("AI Resume Analyzer")
st.write("Analyze your resume and match it with job descriptions using Google Gemini AI.")

col1 , col2 = st.columns(2)
with col1:
    uploaded_file = st.file_uploader("Upload your resume (PDF)", type=["pdf"])
with col2:
    job_description = st.text_area("Enter Job Description:", placeholder="Paste the job description here...")

if uploaded_file is not None:
    st.success("Resume uploaded successfully!")
else:
    st.warning("Please upload a resume in PDF format.")


st.markdown("<div style= 'padding-top: 10px;'></div>", unsafe_allow_html=True)
if uploaded_file:
    # Save uploaded file locally for processing
    with open("uploaded_resume.pdf", "wb") as f:
        f.write(uploaded_file.getbuffer())
    # Extract text from PDF
    resume_text = extract_text_from_pdf("uploaded_resume.pdf")

    if st.button("Analyze Resume"):
        with st.spinner("Analyzing resume..."):
            try:
                # Analyze resume
                analysis = analyze_resume(resume_text, job_description)
                st.success("Analysis complete!")
                st.write(analysis)
            except Exception as e:
                st.error(f"Analysis failed: {e}")

#Footer
st.markdown("---")
st.markdown("""<p style= 'text-align: center;' >Powered by <b>Streamlit</b> and <b>Google Gemini AI</b> | Developed by <a href="https://www.linkedin.com/in/maxjohnson-1209/"  target="_blank" style='text-decoration: none; color: #000000'><b>Max Johnson</b></a></p>""", unsafe_allow_html=True)