app.py

import gradio as gr
from fake_job_detector.models import DistilBERTBaseModel


def process_input(title, description):
# Load the safetensors
    safetensors_path = "synthetic_data_5epoch"

# Load the DistilBERT model
    model = DistilBERTBaseModel(safetensors_path)

    result = model(title, description)
    verdict = ""
    if (result):
        verdict = "This job advertisement is likely fraudulent!"
    else:
        verdict = "This job advertisement is unlikely to be fraudulent."
    
    return verdict

def main():
    # Define the interface
    interface = gr.Interface(
        fn=process_input,  # the function to process input
        inputs=[gr.Textbox(label="Title"), gr.Textbox(label="Description", lines=4)],  # input fields
        outputs=gr.Textbox(label="Output"),  # output field
        title="Fraudulent Job Advertisement Detection",
        description="This model aims to detect fraudulent job advertisements given their title and desscription for COMP6713: NLP project"
    )
    
    # Launch the interface
    interface.launch()

if __name__ == "__main__":
    main()