Upload app.py

app.py

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+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)