app.py

import streamlit as st
from transformers import pipeline

# Load Hugging Face classifier
classifier = pipeline("zero-shot-classification")

st.title("Fake Job Posting Detector")

# Input job description
job_description = st.text_area("Enter the job description:")

if st.button("Check Job"):
    if job_description.strip() == "":
        st.warning("Please enter a job description.")
    else:
        labels = ["Legit", "Fake"]
        result = classifier(job_description, candidate_labels=labels)
        predicted_label = result['labels'][0]
        confidence = result['scores'][0]
        
        st.write(f"Prediction: **{predicted_label}**")
        st.write(f"Confidence: {confidence:.2f}")