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app.py

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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.")

requirements.txt

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+streamlit
+python-docx
+PyMuPDF
+nltk