import gradio as gr 
import pickle 
vectorizer = pickle.load(open('cv','rb'))
model_saved = pickle.load(open('job_prediction','rb'))
def final_result(title,location,department,salary_range,company_profile,description,requirements,benefits,telecommuting,has_company_logo,has_questions,employment_type,required_experience,required_education,industry,function):
    text = title+location+department+company_profile+description+requirements+benefits+employment_type+required_experience+required_education+industry+function
    text=[text]
    text=vectorizer.transform(text)
    text=text.reshape(1, -1)
    return model_saved.predict(text)

demo = gr.Interface(final_result,inputs=['text','text','text','text','text','text','text','text','text','text','text','text','text','text','text','text'],outputs='text',title="Fake Job Detection Model")
demo.launch(share=True)