app.py

import gradio as gr
import openai
import os

def predict(education_level, annual_income, employment_status, course_name, openai_api_key):
    # 0. preparation
    os.environ['OPENAI_API_KEY'] = openai_api_key
    openai.api_key = openai_api_key

    overall_prompt = '''你将作为一名专业的申请人助手，在世界上最大的 MOOC 平台 Coursera 上完成一份 Financial Aid 相关的任务，之后将会给你相关的课程信息，任务如下：'''
    role = f'''个人信息： a {education_level} with {annual_income} annual income and {employment_status}.'''

    # 1. Reasons for aid
    task = '请你完成一份 Financial Aid 申请表，字数在 150-300 words 之间，内容需要包括，请注意，输出仅仅包括 Reasons for Financial Aid ' \
           'Application 的内容即可，前后均不需要添加任何东西（包括 "Reasons for Financial Aid Application:"），也不需要输出任何解释性语句.'

    response = openai.ChatCompletion.create(
        model='gpt-3.5-turbo',
        temperature=0.0,
        messages=[
            {'role': 'system', 'name': 'overall_prompt', 'content': overall_prompt},
            {'role': 'user', 'name': 'task', 'content': task},
            {'role': 'user', 'name': 'role', 'content': role},
            {'role': 'user', 'name': 'course_name', 'content': f'Course name: {course_name}'},
            {'role': 'system', 'name': 'overall_prompt', 'content': overall_prompt},
            {'role': 'user', 'name': 'task', 'content': task},
        ]
    )

    reasons_for_aid = response.choices[0].message.content
    reasons_for_aid = reasons_for_aid.replace('Reasons for Financial Aid Application:\n', '')

    while reasons_for_aid.startswith('\n'):
        reasons_for_aid = reasons_for_aid[1:]

    # 2. How will your selected course help with your goals?
    task = '请你根据给出的信息回答：How will your selected course help with your goals? 答案字数在 150-300 words ' \
           '之间，请注意，输出仅仅包括问题的答案即可，前后均不需要添加任何东西，也不需要输出任何解释性语句.'

    response = openai.ChatCompletion.create(
        model='gpt-3.5-turbo',
        temperature=0.0,
        messages=[
            {'role': 'system', 'name': 'overall_prompt', 'content': overall_prompt},
            {'role': 'user', 'name': 'task', 'content': task},
            {'role': 'user', 'name': 'role', 'content': role},
            {'role': 'user', 'name': 'course_name', 'content': f'Course name: {course_name}'},
            {'role': 'system', 'name': 'overall_prompt', 'content': overall_prompt},
            {'role': 'user', 'name': 'task', 'content': task},
        ]
    )

    how_will_course_help = response.choices[0].message.content

    return reasons_for_aid, how_will_course_help


params = {
    'education_level': 'College Degree',
    'annual_income': 0,
    'employment_status': 'Student',
}

if __name__ == '__main__':
    gr.Interface(
        fn=predict,
        inputs=[
            gr.components.Dropdown(['High School', 'Some College', 'College Degree', 'Master’s/Advanced degree', 'Other'], value=params['education_level'], label='Education'),
            gr.components.Slider(0, 100, params['annual_income'], label='Annual Income($ USD)'),
            gr.components.Dropdown(['Full-time', 'Part-time', 'Unemployed', 'Student', 'Other'], value=params['employment_status'], label='Employment Status'),
            gr.Textbox(label="Course Name"),
            gr.Textbox(label="OpenAI API Key")
        ],
        outputs=[
            gr.Textbox(label="Reason you applied for aid", show_copy_button=True),
            gr.Textbox(label="How will your selected course help with your goals?", show_copy_button=True)
        ],
    ).launch()