import tiktoken import openai import os import gradio as gr openai.api_key = os.environ.get("OPENAI_API_KEY") encoding = tiktoken.get_encoding("cl100k_base") def generate_prompt(prompt: str, style: str) -> str: if len(prompt) == 0: return "请输入您的提示语" generated_prompt = '以“' + prompt + '”为主题,撰写一段' + style + ',字数在100字左右' print('功能:' + style + ',generated_prompt:' + generated_prompt) return generated_prompt def text_generation(original_prompt: str, generated_prompt: str, style: str) -> str: if not len(generated_prompt) == 0: prompt = generated_prompt elif not len(original_prompt) == 0: prompt = original_prompt else: return "请输入您的提示语" print('功能:' + style + ',提示语:' + prompt) if len(encoding.encode(prompt)) > 512: return "您的提示语过长,请精简后再试" response = openai.ChatCompletion.create( model="gpt-3.5-turbo", #gpt-4, gpt-3.5-turbo, text-embedding-ada-002 messages=[{"role": "user", "content": prompt}], temperature=0.5, max_tokens=3580, top_p=1) result = '按照您的提示语:' + prompt + ',生成的文案如下:\n\n' + response["choices"][0]["message"]["content"] print(result) return result css_style = "#fixed_size_img {height: 240px;} " title = "文案创作 by宁侠" description = ''' 本服务的主要应用场景涵盖多种文案输入生成和续写,例如用户可以自行输入各种内容,之后服务将会对其进行回答、续写或者按照指令进行回复。 ''' with gr.Blocks(title=title, css=css_style) as demo: gr.HTML('''

文案创作

by宁侠

''') gr.Markdown(description) with gr.Row(): radio_style = gr.Radio(label="功能选择", choices=["小红书笔记", "小红书标题", "公众号文案", "朋友圈微商文案", "商品卖点", "商品描述", "商品种草文案", "商品好评", "广告标题", "创意广告", "产品起名", "视频拍摄剧本", "短视频口播稿", "直播脚本", "短视频拍摄提纲", "SEO文章", "产品slogan", "夸夸文案", "诗词创作", "作文创作"], value="小红书笔记") with gr.Row(): original_prompt = gr.Textbox(label="请输入您的提示语", value="探索西夏:沙漠风情与多元文化的西北之旅") rich_prompt = gr.Button("一键丰富提示语") generated_prompt = gr.Textbox(label="我们为您生成的提示语", value="以“探索西夏:沙漠风情与多元文化的西北之旅”为主题,撰写一段小红书笔记,字数在100字左右") with gr.Row(): btn_submit = gr.Button(value="一键创作", elem_id="blue_btn") # btn_clear = gr.Button(value="清除") with gr.Row(): text_output = gr.Textbox(label="生成文案") examples = gr.Examples(["探索西夏:沙漠风情与多元文化的西北之旅", "个性iPhone手机壳"], inputs=[original_prompt], outputs=generated_prompt) rich_prompt.click(generate_prompt, inputs=[original_prompt, radio_style], outputs=[generated_prompt]) btn_submit.click(text_generation, inputs=[original_prompt, generated_prompt, radio_style], outputs=text_output) demo.queue(api_open=False).launch(debug=True)