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import gradio as gr
import transformers
import os
import sys
import openai
from openai import Completion as complete
mcq_prompt = "Generate French MCQs on the above text. Each MCQ must have four choices. Generate ten questions with answers:"
def generate_questions(context, mcq_prompt=mcq_prompt):
"""
Generate questions by calling davinci-003.
"""
prompt = context + mcq_prompt
try:
completion = complete.create(model="text-davinci-003", prompt=prompt, max_tokens=1875)
return str(completion.choices[0].text)
except Exception as e:
# return str(e)
# return python version
return str(sys.version)
# def append_completion(selected_text, feedback):
# return selected_text, selected_text + feedback
with gr.Blocks() as demo:
gr.Markdown("Génération de quizz!")
context = gr.Textbox(placeholder="insérez le texte ici.")
qa_pairs = gr.Textbox(placeholder="Les questions apparaîtront ici.")
#todo: test generating with just one phrase for one MCQ with smaller models
quiz_button = gr.Button("Générer dix questions.")
quiz_button.click(fn= generate_questions,
inputs=context,
outputs=qa_pairs
)
if __name__ == "__main__":
demo.launch(debug=True)
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