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import sys
import os
import pandas as pd
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from ats.skill_extractor import extract_text_from_pdf, extract_skills
from ats.ats_score import calculate_ats_score
from cover_letter.generator import generate_cover_letter
from roadmap.roadmap_generator import generate_roadmap, generate_interview_questions
from agents.resume_agent import resume_agent
from agents.router_agent import router_agent
from rag.qdrant_store import create_collection, store_document
from rag.retriever import ask_with_rag
from cold_email.sender import load_recruiters, generate_email_body, send_cold_emails
st.set_page_config(page_title="AI Recruitment Copilot", page_icon="🤖", layout="wide")
st.sidebar.title("🤖 AI Recruitment Copilot")
page = st.sidebar.radio("Navigate", [
"🏠 Dashboard",
"📄 Resume Analysis",
"✉️ Cover Letter",
"❓ Interview Questions",
"🗺️ Learning Roadmap",
"📧 Cold Email Sender",
"💬 AI Chatbot"
])
if "resume_text" not in st.session_state:
st.session_state.resume_text = ""
if "jd_text" not in st.session_state:
st.session_state.jd_text = ""
if "ats_result" not in st.session_state:
st.session_state.ats_result = None
if "resume_skills" not in st.session_state:
st.session_state.resume_skills = []
st.sidebar.markdown("---")
st.sidebar.subheader("Upload Files")
resume_file = st.sidebar.file_uploader("Upload Resume PDF", type=["pdf"])
if resume_file:
with open("data/uploads/resume.pdf", "wb") as f:
f.write(resume_file.read())
st.session_state.resume_text = extract_text_from_pdf("data/uploads/resume.pdf")
st.sidebar.success("Resume uploaded!")
st.sidebar.markdown("---")
st.sidebar.subheader("Job Description")
jd_input = st.sidebar.text_area("Paste Job Description here", height=200)
if st.sidebar.button("Save JD"):
if jd_input.strip():
st.session_state.jd_text = jd_input.strip()
st.sidebar.success("JD saved!")
else:
st.sidebar.error("Please paste a job description first.")
if page == "🏠 Dashboard":
st.title("🤖 AI Recruitment Copilot")
st.markdown("### Your AI-powered job application assistant")
st.markdown("---")
if st.session_state.resume_text and st.session_state.jd_text:
if st.button("Run Full ATS Analysis"):
with st.spinner("Analyzing..."):
resume_skills = extract_skills(st.session_state.resume_text, "resume")
jd_skills = extract_skills(st.session_state.jd_text, "job description")
result = calculate_ats_score(
resume_skills,
jd_skills,
resume_text=st.session_state.resume_text,
jd_text=st.session_state.jd_text
)
st.session_state.ats_result = result
st.session_state.resume_skills = resume_skills
if st.session_state.ats_result:
result = st.session_state.ats_result
st.markdown("### 📊 ATS Analysis Results")
col1, col2, col3, col4, col5 = st.columns(5)
col1.metric("🎯 Final Score", f"{result['ats_score']}%")
col2.metric("🔑 Keywords", f"{result['keyword_score']}%")
col3.metric("🧠 Semantic", f"{result['semantic_score']}%")
col4.metric("💼 Experience", f"{result['experience_score']}%")
col5.metric("🎓 Education", f"{result['education_score']}%")
st.markdown("---")
st.subheader("💼 Experience Analysis")
st.info(result['experience_msg'])
st.subheader("🎓 Education Analysis")
st.info(result['education_msg'])
st.subheader("📄 Resume Format Check")
for issue in result['format_issues']:
if "✅" in issue:
st.success(issue)
else:
st.error(issue)
if result['format_suggestions']:
st.subheader("💡 Suggestions")
for suggestion in result['format_suggestions']:
st.warning(suggestion)
st.markdown("---")
col4, col5 = st.columns(2)
with col4:
st.subheader("✅ Matched Skills")
for skill in result['matched_skills']:
st.success(skill)
with col5:
st.subheader("❌ Missing Skills")
for skill in result['missing_skills']:
st.error(skill)
else:
st.info("Upload your Resume and paste Job Description from the sidebar to get started!")
elif page == "📄 Resume Analysis":
st.title("Resume Analysis")
st.markdown("---")
if st.session_state.resume_text:
if st.button("Analyze My Resume"):
with st.spinner("Analyzing resume..."):
analysis = resume_agent(st.session_state.resume_text)
st.markdown(analysis)
else:
st.warning("Please upload your resume from the sidebar first.")
elif page == "✉️ Cover Letter":
st.title("Cover Letter Generator")
st.markdown("---")
if st.session_state.resume_text and st.session_state.jd_text:
if st.button("Generate Cover Letter"):
with st.spinner("Writing cover letter..."):
letter = generate_cover_letter(
st.session_state.resume_text,
st.session_state.jd_text
)
st.text_area("Your Cover Letter", letter, height=400)
st.download_button("Download", letter, file_name="cover_letter.txt")
else:
st.warning("Please upload Resume and paste JD from the sidebar first.")
elif page == "❓ Interview Questions":
st.title("Interview Question Generator")
st.markdown("---")
if st.session_state.resume_text and st.session_state.jd_text:
if st.button("Generate Questions"):
with st.spinner("Generating questions..."):
questions = generate_interview_questions(
st.session_state.resume_text,
st.session_state.jd_text
)
st.markdown(questions)
else:
st.warning("Please upload Resume and paste JD from the sidebar first.")
elif page == "🗺️ Learning Roadmap":
st.title("Learning Roadmap Generator")
st.markdown("---")
if st.session_state.ats_result:
missing = st.session_state.ats_result['missing_skills']
st.subheader("Missing Skills")
st.write(missing)
if st.button("Generate Roadmap"):
with st.spinner("Creating your roadmap..."):
roadmap = generate_roadmap(missing)
st.markdown(roadmap)
else:
st.warning("Please run ATS Analysis from the Dashboard first.")
elif page == "📧 Cold Email Sender":
st.title("📧 Cold Email Sender")
st.markdown("### Send personalized emails to multiple HRs automatically")
st.markdown("---")
col1, col2 = st.columns(2)
with col1:
sender_email = st.text_input("Your Gmail", value="nehab3099@gmail.com")
with col2:
app_password = st.text_input("Gmail App Password", type="password")
excel_file = st.file_uploader("Upload HR Excel File", type=["xlsx"])
delay = st.slider("Delay between emails (seconds)", min_value=10, max_value=60, value=30)
if excel_file:
with open("data/uploads/recruiters.xlsx", "wb") as f:
f.write(excel_file.read())
df = load_recruiters("data/uploads/recruiters.xlsx")
st.success(f"Found {len(df)} valid HR emails!")
st.dataframe(df[["Company Name", "HR / Contact Person", "Email ID"]])
st.markdown("---")
st.subheader("📝 Email Preview")
if len(df) > 0:
sample_row = df.iloc[0]
preview = generate_email_body(
sample_row["HR / Contact Person"],
sample_row["Company Name"],
st.session_state.resume_skills
)
st.text_area("Sample Email", preview, height=300)
st.markdown("---")
if not st.session_state.resume_text:
st.warning("Please upload your resume from the sidebar first!")
elif not app_password:
st.warning("Please enter your Gmail App Password!")
else:
if st.button(f"🚀 Send Emails to All {len(df)} HRs"):
with st.spinner(f"Sending emails... This will take {len(df) * delay} seconds"):
results, total = send_cold_emails(
"data/uploads/recruiters.xlsx",
"data/uploads/resume.pdf",
sender_email,
app_password,
st.session_state.resume_skills,
delay
)
st.success(f"Done! Processed {total} emails.")
st.markdown("### 📊 Results")
for r in results:
if "✅" in r['status']:
st.success(f"{r['status']} → {r['hr_name']} | {r['company']} | {r['email']}")
else:
st.error(f"{r['status']} → {r['email']}")
elif page == "💬 AI Chatbot":
st.title("AI Career Chatbot")
st.markdown("---")
create_collection()
if st.session_state.resume_text:
store_document(st.session_state.resume_text, {"type": "resume"})
if st.session_state.jd_text:
store_document(st.session_state.jd_text, {"type": "jd"})
user_query = st.text_input("Ask anything about your resume or job...")
if st.button("Ask"):
if user_query:
with st.spinner("Thinking..."):
answer = router_agent(
user_query,
resume_text=st.session_state.resume_text,
jd_text=st.session_state.jd_text,
missing_skills=st.session_state.ats_result['missing_skills'] if st.session_state.ats_result else []
)
st.markdown(answer)
"""
with open("streamlit_app/app.py", "w", encoding="utf-8") as f:
f.write(code)
print("app.py updated with Cold Email Sender!")
# code = """import streamlit as st
# import sys
# import os
# sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
# from ats.skill_extractor import extract_text_from_pdf, extract_skills
# from ats.ats_score import calculate_ats_score
# from cover_letter.generator import generate_cover_letter
# from roadmap.roadmap_generator import generate_roadmap, generate_interview_questions
# from agents.resume_agent import resume_agent
# from agents.router_agent import router_agent
# from rag.qdrant_store import create_collection, store_document
# from rag.retriever import ask_with_rag
# st.set_page_config(page_title="AI Recruitment Copilot", page_icon="🤖", layout="wide")
# st.sidebar.title("🤖 AI Recruitment Copilot")
# page = st.sidebar.radio("Navigate", [
# "🏠 Dashboard",
# "📄 Resume Analysis",
# "✉️ Cover Letter",
# "❓ Interview Questions",
# "🗺️ Learning Roadmap",
# "💬 AI Chatbot"
# ])
# if "resume_text" not in st.session_state:
# st.session_state.resume_text = ""
# if "jd_text" not in st.session_state:
# st.session_state.jd_text = ""
# if "ats_result" not in st.session_state:
# st.session_state.ats_result = None
# st.sidebar.markdown("---")
# st.sidebar.subheader("Upload Files")
# resume_file = st.sidebar.file_uploader("Upload Resume PDF", type=["pdf"])
# if resume_file:
# with open("data/uploads/resume.pdf", "wb") as f:
# f.write(resume_file.read())
# st.session_state.resume_text = extract_text_from_pdf("data/uploads/resume.pdf")
# st.sidebar.success("Resume uploaded!")
# st.sidebar.markdown("---")
# st.sidebar.subheader("Job Description")
# jd_input = st.sidebar.text_area("Paste Job Description here", height=200)
# if st.sidebar.button("Save JD"):
# if jd_input.strip():
# st.session_state.jd_text = jd_input.strip()
# st.sidebar.success("JD saved!")
# else:
# st.sidebar.error("Please paste a job description first.")
# if page == "🏠 Dashboard":
# st.title("🤖 AI Recruitment Copilot")
# st.markdown("### Your AI-powered job application assistant")
# st.markdown("---")
# if st.session_state.resume_text and st.session_state.jd_text:
# if st.button("Run Full ATS Analysis"):
# with st.spinner("Analyzing..."):
# resume_skills = extract_skills(st.session_state.resume_text, "resume")
# jd_skills = extract_skills(st.session_state.jd_text, "job description")
# result = calculate_ats_score(
# resume_skills,
# jd_skills,
# resume_text=st.session_state.resume_text,
# jd_text=st.session_state.jd_text
# )
# st.session_state.ats_result = result
# if st.session_state.ats_result:
# result = st.session_state.ats_result
# st.markdown("### 📊 ATS Analysis Results")
# col1, col2, col3, col4, col5 = st.columns(5)
# col1.metric("🎯 Final Score", f"{result['ats_score']}%")
# col2.metric("🔑 Keywords", f"{result['keyword_score']}%")
# col3.metric("🧠 Semantic", f"{result['semantic_score']}%")
# col4.metric("💼 Experience", f"{result['experience_score']}%")
# col5.metric("🎓 Education", f"{result['education_score']}%")
# st.markdown("---")
# st.subheader("💼 Experience Analysis")
# st.info(result['experience_msg'])
# st.subheader("🎓 Education Analysis")
# st.info(result['education_msg'])
# st.subheader("📄 Resume Format Check")
# for issue in result['format_issues']:
# if "✅" in issue:
# st.success(issue)
# else:
# st.error(issue)
# if result['format_suggestions']:
# st.subheader("💡 Suggestions")
# for suggestion in result['format_suggestions']:
# st.warning(suggestion)
# st.markdown("---")
# col4, col5 = st.columns(2)
# with col4:
# st.subheader("✅ Matched Skills")
# for skill in result['matched_skills']:
# st.success(skill)
# with col5:
# st.subheader("❌ Missing Skills")
# for skill in result['missing_skills']:
# st.error(skill)
# else:
# st.info("Upload your Resume and paste Job Description from the sidebar to get started!")
# elif page == "📄 Resume Analysis":
# st.title("Resume Analysis")
# st.markdown("---")
# if st.session_state.resume_text:
# if st.button("Analyze My Resume"):
# with st.spinner("Analyzing resume..."):
# analysis = resume_agent(st.session_state.resume_text)
# st.markdown(analysis)
# else:
# st.warning("Please upload your resume from the sidebar first.")
# elif page == "✉️ Cover Letter":
# st.title("Cover Letter Generator")
# st.markdown("---")
# if st.session_state.resume_text and st.session_state.jd_text:
# if st.button("Generate Cover Letter"):
# with st.spinner("Writing cover letter..."):
# letter = generate_cover_letter(
# st.session_state.resume_text,
# st.session_state.jd_text
# )
# st.text_area("Your Cover Letter", letter, height=400)
# st.download_button("Download", letter, file_name="cover_letter.txt")
# else:
# st.warning("Please upload Resume and paste JD from the sidebar first.")
# elif page == "❓ Interview Questions":
# st.title("Interview Question Generator")
# st.markdown("---")
# if st.session_state.resume_text and st.session_state.jd_text:
# if st.button("Generate Questions"):
# with st.spinner("Generating questions..."):
# questions = generate_interview_questions(
# st.session_state.resume_text,
# st.session_state.jd_text
# )
# st.markdown(questions)
# else:
# st.warning("Please upload Resume and paste JD from the sidebar first.")
# elif page == "🗺️ Learning Roadmap":
# st.title("Learning Roadmap Generator")
# st.markdown("---")
# if st.session_state.ats_result:
# missing = st.session_state.ats_result['missing_skills']
# st.subheader("Missing Skills")
# st.write(missing)
# if st.button("Generate Roadmap"):
# with st.spinner("Creating your roadmap..."):
# roadmap = generate_roadmap(missing)
# st.markdown(roadmap)
# else:
# st.warning("Please run ATS Analysis from the Dashboard first.")
# elif page == "💬 AI Chatbot":
# st.title("AI Career Chatbot")
# st.markdown("---")
# create_collection()
# if st.session_state.resume_text:
# store_document(st.session_state.resume_text, {"type": "resume"})
# if st.session_state.jd_text:
# store_document(st.session_state.jd_text, {"type": "jd"})
# user_query = st.text_input("Ask anything about your resume or job...")
# if st.button("Ask"):
# if user_query:
# with st.spinner("Thinking..."):
# answer = router_agent(
# user_query,
# resume_text=st.session_state.resume_text,
# jd_text=st.session_state.jd_text,
# missing_skills=st.session_state.ats_result['missing_skills'] if st.session_state.ats_result else []
# )
# st.markdown(answer)
# """
# with open("streamlit_app/app.py", "w", encoding="utf-8") as f:
# f.write(code)
# print("app.py updated successfully!") |