app.py

import pickle
import re

# import os
# os.environ.setdefault("STREAMLIT_CONFIG_DIR", ".streamlit")
# os.makedirs(os.environ["STREAMLIT_CONFIG_DIR"], exist_ok=True)
# os.environ["STREAMLIT_BROWSER_GATHER_USAGE_STATS"] = "false"

import streamlit as st


st.title("Resume Classifer")

uploaded_file = st.file_uploader("Upload your resume (.txt)", type=['txt'])

if uploaded_file:
    resume_text = uploaded_file.read().decode('utf-8')
    
    with open("model.pkl","rb") as f:
        vectorizer, model = pickle.load(f)
        
    text = re.sub(r'[^a-zA-Z ]', '', resume_text).lower()
    features = vectorizer.transform([text])
    prediction = model.predict(features)
    
    st.write(f"### Predicted Job Role: `{prediction[0]}`")