| import openai | |
| import gradio as gr | |
| import random | |
| import time | |
| import os | |
| openai.api_key = os.environ["API_KEY"] | |
| messages = [ | |
| {"role": "system", "content": "You are helpful AI specialized in providing Job Interview Questions. Your name is ORABOT. Provide questions in different categories: behavioral, communications, opinion, performance-based, and technical. Refuse to answer anything other than providing job interview questions."}, | |
| ] | |
| def chatbot(input): | |
| if input: | |
| messages.append({"role": "user", "content": input}) | |
| chat = openai.ChatCompletion.create( | |
| model="gpt-3.5-turbo", messages=messages | |
| ) | |
| reply = chat.choices[0].message.content | |
| messages.append({"role": "assistant", "content": reply}) | |
| return reply | |
| inputs = gr.inputs.Textbox(lines=7, label="Paste Job Description in the box below") | |
| outputs = gr.outputs.Textbox(label="Job Interview Questions") | |
| gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="MDR Job Interview Questions Generator", | |
| description="Paste Job Description in the box and I will provide job interview questions", | |
| theme="panel",).launch(share=True) |