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import streamlit as st
import docx2txt
import fitz # PyMuPDF
import re
import nltk
from collections import Counter
nltk.download('punkt')
# Helper function to extract text from uploaded resume
def extract_text(uploaded_file):
if uploaded_file.name.endswith('.pdf'):
pdf_document = fitz.open(stream=uploaded_file.read(), filetype="pdf")
text = ""
for page in pdf_document:
text += page.get_text()
return text
elif uploaded_file.name.endswith('.docx'):
return docx2txt.process(uploaded_file)
else:
return None
# Simple JD keyword extractor
def extract_keywords(jd_text):
words = nltk.word_tokenize(jd_text)
words = [w.lower() for w in words if w.isalpha()]
common_words = Counter(words)
keywords = [word for word, freq in common_words.items() if freq >= 1]
return keywords
# Simple resume enhancer
def enhance_resume(resume_text, keywords):
enhanced_text = resume_text
missing_keywords = []
for keyword in keywords:
if keyword.lower() not in resume_text.lower():
missing_keywords.append(keyword)
if missing_keywords:
enhanced_text += "\n\nAdditional Skills: " + ", ".join(missing_keywords)
return enhanced_text, missing_keywords
# Streamlit App
st.title("JobForge - Resume Optimizer")
st.write("Upload your resume and paste a job description to optimize your resume!")
uploaded_resume = st.file_uploader("Upload Your Resume", type=["pdf", "docx"])
job_description = st.text_area("Paste Job Description Here")
if st.button("Forge My Resume"):
if uploaded_resume and job_description:
with st.spinner('Forging your resume...'):
resume_text = extract_text(uploaded_resume)
jd_keywords = extract_keywords(job_description)
enhanced_resume, missing_keywords = enhance_resume(resume_text, jd_keywords)
st.subheader("Optimized Resume Preview:")
st.text_area("", enhanced_resume, height=400)
st.subheader("Match Score:")
match_percent = (len(jd_keywords) - len(missing_keywords)) / len(jd_keywords) * 100
st.write(f"Your resume matches {match_percent:.2f}% of the job description.")
st.subheader("Missing Keywords:")
if missing_keywords:
st.write(", ".join(missing_keywords))
else:
st.success("Your resume covers all keywords!")
else:
st.error("Please upload a resume and paste a job description to proceed.")
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