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import streamlit as st
from embeddings import generate_embeddings
from generator import generate_resume, generate_cover_letter
from parser import extract_text_from_pdf
from vector_store import store_resume_embedding, search_similar_resumes
# Streamlit App
st.title("Resume and Cover Letter Generator")
# Upload Resume File
uploaded_file = st.file_uploader("Upload your resume (PDF)", type="pdf")
if uploaded_file:
# Extract text from the uploaded PDF
text = extract_text_from_pdf(uploaded_file.read())
# Generate embeddings for the uploaded resume
vector = generate_embeddings(text)
# Store the resume embedding for future searches
store_resume_embedding(uploaded_file.name, vector, text)
st.success("Resume uploaded successfully!")
# Form to generate documents
with st.form("generate_documents"):
name = st.text_input("Your Name")
job_description = st.text_area("Job Description")
submit_button = st.form_submit_button("Generate Resume and Cover Letter")
if submit_button:
if not name or not job_description:
st.error("Please fill in both fields.")
else:
# Search for similar resumes based on job description
similar_resumes = search_similar_resumes(job_description)
# Generate resume and cover letter
resume = generate_resume(name, job_description, similar_resumes)
cover_letter = generate_cover_letter(name, job_description, similar_resumes)
# Display the generated resume and cover letter
st.subheader("Generated Resume")
st.write(resume)
st.subheader("Generated Cover Letter")
st.write(cover_letter)
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