File size: 5,399 Bytes
b45fa03 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 | import streamlit as st
import os
from dotenv import load_dotenv
import google.generativeai as genai
from PyPDF2 import PdfReader
# Load environment variables and configure API
load_dotenv()
genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
model = genai.GenerativeModel("gemini-1.5-flash")
# Function to get Gemini output
def get_gemini_output(pdf_text, prompt):
response = model.generate_content([pdf_text, prompt])
return response.text
# Function to read PDF
def read_pdf(uploaded_file):
if uploaded_file is not None:
pdf_reader = PdfReader(uploaded_file)
pdf_text = ""
for page in pdf_reader.pages:
pdf_text += page.extract_text()
return pdf_text
else:
raise FileNotFoundError("No file uploaded")
# Streamlit UI
st.set_page_config(page_title="ResumeATS Pro", layout="wide")
# Custom CSS for Apple-inspired design
st.markdown("""
<style>
.main {
background-color: #f5f5f7;
color: #1d1d1f;
}
.stButton>button {
background-color: #0071e3;
color: white;
border-radius: 20px;
}
.stTextInput>div>div>input {
border-radius: 10px;
}
</style>
""", unsafe_allow_html=True)
st.title("ResumeATS Pro")
st.subheader("Optimize Your Resume for ATS and Land Your Dream Job")
# File upload
upload_file = st.file_uploader("Upload your resume (PDF)", type=["pdf"])
# Job description input
job_description = st.text_area("Enter the job description (optional)")
# Analysis options
analysis_option = st.radio("Choose analysis type:",
["Quick Scan", "Detailed Analysis", "ATS Optimization"])
if st.button("Analyze Resume"):
if upload_file is not None:
pdf_text = read_pdf(upload_file)
if analysis_option == "Quick Scan":
prompt = f"""
You are ResumeChecker, an expert in resume analysis. Provide a quick scan of the following resume:
1. Identify the most suitable profession for this resume.
2. List 3 key strengths of the resume.
3. Suggest 2 quick improvements.
4. Give an overall ATS score out of 100.
Resume text: {pdf_text}
Job description (if provided): {job_description}
"""
elif analysis_option == "Detailed Analysis":
prompt = f"""
You are ResumeChecker, an expert in resume analysis. Provide a detailed analysis of the following resume:
1. Identify the most suitable profession for this resume.
2. List 5 strengths of the resume.
3. Suggest 3-5 areas for improvement with specific recommendations.
4. Rate the following aspects out of 10: Impact, Brevity, Style, Structure, Skills.
5. Provide a brief review of each major section (e.g., Summary, Experience, Education).
6. Give an overall ATS score out of 100 with a breakdown of the scoring.
Resume text: {pdf_text}
Job description (if provided): {job_description}
"""
else: # ATS Optimization
prompt = f"""
You are ResumeChecker, an expert in ATS optimization. Analyze the following resume and provide optimization suggestions:
1. Identify keywords from the job description that should be included in the resume.
2. Suggest reformatting or restructuring to improve ATS readability.
3. Recommend changes to improve keyword density without keyword stuffing.
4. Provide 3-5 bullet points on how to tailor this resume for the specific job description.
5. Give an ATS compatibility score out of 100 and explain how to improve it.
Resume text: {pdf_text}
Job description: {job_description}
"""
response = get_gemini_output(pdf_text, prompt)
st.subheader("Analysis Results")
st.write(response)
# Option to chat about the resume
st.subheader("Have questions about your resume?")
user_question = st.text_input("Ask me anything about your resume or the analysis:")
if user_question:
chat_prompt = f"""
Based on the resume and analysis above, answer the following question:
{user_question}
Resume text: {pdf_text}
Previous analysis: {response}
"""
chat_response = get_gemini_output(pdf_text, chat_prompt)
st.write(chat_response)
else:
st.error("Please upload a resume to analyze.")
# Additional resources
st.sidebar.title("Resources")
st.sidebar.markdown("""
- [Resume Writing Tips](https://cdn-careerservices.fas.harvard.edu/wp-content/uploads/sites/161/2023/08/College-resume-and-cover-letter-4.pdf)
- [ATS Optimization Guide](https://career.io/career-advice/create-an-optimized-ats-resume)
- [Interview Preparation](https://hbr.org/2021/11/10-common-job-interview-questions-and-how-to-answer-them)
""")
# Feedback form
st.sidebar.title("Feedback")
st.sidebar.text_area("Help us improve! Leave your feedback:")
st.sidebar.button("Submit Feedback") |