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856e6a7
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Create app.py

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  1. app.py +54 -0
app.py ADDED
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+ import streamlit as st
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+ import pandas as pd
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+
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+ from utils import extract_text_from_pdf
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+ from extractor import extract_entities, extract_experience_years
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+ from recommender import (
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+ score_skills,
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+ classify_field,
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+ recommend_countries,
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+ recommend_certifications,
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+ recommend_education,
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+ generate_roadmap,
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+ )
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+
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+ # Load data
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+ skills_df = pd.read_csv("data/skills_dataset.csv")
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+ countries_df = pd.read_csv("data/countries_dataset.csv")
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+ cert_df = pd.read_csv("data/certifications.csv")
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+ edu_tech_df = pd.read_csv("data/education_technical.csv")
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+ edu_non_tech_df = pd.read_csv("data/education_non_technical.csv")
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+ scholarship_df = pd.read_csv("data/scholarships.csv") # Optional
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+
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+ st.set_page_config(page_title="Skill Scoring App", layout="wide")
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+ st.title("📊 Personalized Skill Scoring & Career Roadmap App")
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+
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+ uploaded_file = st.file_uploader("📤 Upload your CV (PDF)", type=["pdf"])
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+ age = st.number_input("Enter your age (if not in CV)", min_value=16, max_value=70)
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+
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+ if uploaded_file:
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+ with st.spinner("Processing your CV..."):
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+ text = extract_text_from_pdf(uploaded_file)
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+ skills, background = extract_entities(text, skills_df)
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+ years_exp = extract_experience_years(text)
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+ score = score_skills(skills, skills_df)
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+ field = classify_field(text, ["Engineering", "Medical", "IT", "Finance", "Labor", "HVAC"])
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+ countries = recommend_countries(skills, countries_df)
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+ certs = recommend_certifications(skills, cert_df)
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+ edu = recommend_education(background, edu_tech_df, edu_non_tech_df)
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+ roadmap = generate_roadmap(
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+ {"years_experience": years_exp}, field, score, countries, certs, scholarship_df
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+ )
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+
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+ st.subheader("✅ Extracted Skills")
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+ st.write(skills or "No skills found.")
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+
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+ st.subheader("📈 Score & Field")
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+ st.metric("Skill Score", f"{score}/100")
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+ st.write(f"**Field Classification:** {field}")
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+
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+ st.subheader("🗺️ Roadmap")
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+ st.markdown(roadmap, unsafe_allow_html=True)
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+
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+ else:
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+ st.info("Please upload your CV to get started.")