gr.Markdown("## 6. Conclusion sentence 結論句")

no more explanation either no more extra non-relation sentences.

supporting_sentences_output = gr.Textbox(label="Generated Supporting Sentences 支持句")

def generate_supporting_sentences(model, max_tokens, sys_content, scenario, eng_level, topic, points, topic_sentence, user_generate_supporting_sentences_prompt):

import json

content = parse_and_display_topic_sentences(json_content)

"response_format": response_format

topic_sentence_output

def generate_topic_sentences(model, max_tokens, sys_content, scenario, eng_level, topic, points, user_generate_topic_sentences_prompt):

generate_topics

default_generate_points_prompt = """

def generate_points(model, max_tokens, sys_content, scenario, eng_level, topic, user_generate_points_prompt):

max_tokens = gr.Slider(minimum=50, maximum=4000, value=1000, label="Max Tokens")

Markdown

def generate_topic_sentences(model, max_tokens, sys_content, scenario, eng_level, user_generate_topics_prompt):

user_generate_topics_prompt = gr.Textbox(label="User Prompt", value="Give me 10 topics relevant to Scenario, for a paragraph. Just the topics, no explanation, use simple English language. Make sure the vocabulary you use is at english level.")

topic_output

openai>=1.0.0

rename

openai

import os

from openai import OpenAI

OPEN_AI_CLIENT

OPENAI_CLIENT

OPEN_AI_KEY = os.getenv("OPEN_AI_KEY")

init

initial commit