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import os
import gradio as gr
from openai import OpenAI
OPEN_AI_KEY = os.getenv("OPEN_AI_KEY")
OPEN_AI_CLIENT = OpenAI(api_key=OPEN_AI_KEY)
def generate_topic_sentences(model, max_tokens, sys_content,scenario, eng_level user_generate_topics_prompt):
"""
根据系统提示和用户输入的情境及主题，调用OpenAI API生成相关的主题句。
"""
user_content = f"""
scenario is {scenario}
english level is {eng_level}
{user_generate_topics_prompt}
"""
messages = [
{"role": "system", "content": sys_content},
{"role": "user", "content": user_content}
]
request_payload = {
"model": model,
"messages": messages,
"max_tokens": max_tokens,
}
response = OPEN_AI_CLIENT.chat.completions.create(**request_payload)
content = response.choices[0].message.content.strip()
return content
with gr.Blocks() as demo:
with gr.Row():
with gr.Column():
# basic inputs
gr.Makdown("## Basic Inputs")
model = gr.Radio(["gpt-4-1106-preview", "gpt-3.5-turbo"], label="Model")
max_tokens = gr.Slider(minimum=50, maximum=4000, default=1000, label="Max Tokens")
sys_content_input = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.")
scenario_input = gr.Textbox(label="Scenario")
eng_level_input = gr.Radio(["beginner", "intermediate", "advanced"], label="English Level")
gr.Makdown("## Generate Topic Sentences")
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.")
generate_topics_button = gr.Button("Generate Topic Sentences")
# gr.Makdown("## Generate Points")
# topic_input = gr.Textbox(label="Topic")
# generate_points_button = gr.Button("Generate Points")
with gr.Column():
topic_output = gr.Textbox(label="Generated Topic Sentences")
# points_output = gr.Textbox(label="Generated Points")
generate_topics_button.click(
fn=generate_topic_sentences,
inputs=[
model,
max_tokens,
sys_content_input,
scenario_input,
eng_level_input,
user_generate_topics_prompt
],
outputs=topic_output
)
demo.launch()
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