imitation_game / app.py
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Create app.py
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import gradio as gr
import pandas as pd
import text_gen as gen
NUM_QUESTIONS = 6
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
return str(sum(answers.values()))
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'## <p style="text-align: center;">TITLE</p>')
for ind, question in enumerate(list(questions.keys()), start=1):
letters = list('ABCD')
options = list(set(wrong_answers[question] + [questions[question]]))
gr.Markdown(f'### <p>{ind}. {question}</p>')
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
demo.launch()