import gradio as gr import pandas as pd import text_gen as gen NUM_QUESTIONS = 10 answers = {} separator = '<[._.]>' df = pd.read_csv('lines_2.txt', sep='*') df = pd.concat([df[df.Part == 'Start'].sample(1), df[df.Part == 'Middle_1'].sample(1), df[df.Part == 'Middle_2'].sample(1), df[df.Part == 'Middle_3'].sample(1), df[df.Part == 'Middle_4'].sample(NUM_QUESTIONS-5), df[df.Part == 'End'].sample(1)]) questions = dict(zip(df.Question, df.Answer)) context = dict(zip(df.Question, df.Context)) def get_answer(question, answer, options): global answers global separator answer = options.split(separator)[answer] answers.update({question:int(answer == questions[question])}) def set_score(): global answers global NUM_QUESTIONS score = sum(answers.values()) start = '##

' end = '

' if score == 0: return f'{start}Not a single right answer. Are you doing this on purpose?{end}' elif score <= NUM_QUESTIONS / 2 + 1: return f'{start}Only {score} right answers out of {NUM_QUESTIONS}. You ought to pay more attention.{end}' elif score == NUM_QUESTIONS: return f'{start}Perfect score!{end}' else: return f'{start}{score} right answers out of {NUM_QUESTIONS}. It\'s probably alright.{end}' wrong_answers = {q:[gen.generate_text( q, context[q], gen.model_names[i], gen.model[i], gen.tokenizers[i], minimum=len(questions[q].split())+8) for i in range(3)] for q in questions.keys()} with gr.Blocks(theme='glass') as demo: with gr.Row(): with gr.Column(scale=1): pass with gr.Column(scale=2): gr.Markdown(f'##

IMITATION GAME

\n' + f'###

Choose answers NOT given by an AI model.') for ind, question in enumerate(list(questions.keys()), start=1): letters = list('ABCD') options = list(set(wrong_answers[question] + [questions[question]])) gr.Markdown(f'###

{ind}. {question}

') for letter, option in zip(letters, options): gr.Markdown(f'{letter}. {option}') options = gr.State(separator.join(options)) radio = gr.Radio(letters, type='index', show_label=False) question = gr.State(question) radio.change(fn=get_answer, inputs=[question, radio, options]) button = gr.Button(value='Get score') score = gr.Markdown() button.click(fn=set_score, outputs=score) with gr.Column(scale=1): pass