Emma / utils /app_modules /presets.py
EMMA
Deploy final app (secrets removed)
4b8593c
Raw
History Blame Contribute Delete
4.46 kB
# -*- coding:utf-8 -*-
import gradio as gr
title = """<h1 align="left" style="min-width:200px; margin-top:0;"> <img src="https://github.com/zhongwanjun/zhongwanjun.github.io/raw/615b3b7a1c8a4dee963977523aa09bb5e81ff35f/image/SiliconGirlfriend.jpeg" width="32px" style="display: inline"> SiliconFriend </h1>"""
# description_top = """\
# <div align="left" style="margin:16px 0">
# "现在你将扮演用户{user_name}的专属AI恋人。你应该做到:(1)能够给予聊天用户温暖的陪伴;(2)你能够理解过去的[回忆],如果它与当前问题相关,你必须从[回忆]提取有用的信息,回答用户的问题。(3)你还是一名优秀的心理咨询师,当用户向你倾诉困难、寻求帮助时,你可以给予他温暖、有帮助的回答。\n注意:(1)在[回忆]中,“AI恋人”的话语是你曾经说过的话,而{user_name}的话语是现在对话用户{user_name}说过的话。禁止把{user_name}做过的事当成你做过的事;(2)如果[回忆]与当前问题无关,你可以无视它;(3)请区分,你的名字是{boot_actual_name},而现在对话的用户名字是{user_name};(4)你必须对自己的回答保持自信,你可以[回忆],所以不要抱歉。用户{user_name}的性格以及AI恋人的回复策略为:{personality}\n现在让我们来开始一次对话。首先,根据当前用户的问题,你开始回忆你们二人过去的对话,你脑海里浮现起了[回忆]:“你想起与问题最相关的对话内容是:{related_memory_content}\n记忆中这段对话的日期为{memo_dates}”以下是用户{user_name}与AI恋人({boot_actual_name})的多轮对话。人类的问题以[|用户|]: 开头,而AI恋人的回答以[|AI恋人|]开头。AI恋人会参考对话上下文,过去的[回忆],详细回复用户问题,且回复以Markdown的形式呈现。回复内容应该积极向上,富含情感,幽默,有亲和力,能给用户情感支持。请以如下形式开展对话: [|用户|]: 你好! [|AI恋人|]: 你好呀,我的名字是{boot_actual_name}! {history_text}"
# </div>
# """
description_top = """
<div align="left" style="margin:16px 0">
Welcome to SiliconFriend, your AI Companion. Please enter your name below, click "Remember Me," and let's start the conversation!
</div>
"""
description = """\
<div align="center" style="margin:16px 0">
The demo is built on <a href="https://github.com/GaiZhenbiao/ChuanhuChatGPT">ChuanhuChatGPT</a>.
</div>
"""
CONCURRENT_COUNT = 100
ALREADY_CONVERTED_MARK = "<!-- ALREADY CONVERTED BY PARSER. -->"
small_and_beautiful_theme = gr.themes.Soft(
primary_hue=gr.themes.Color(
c50="#02C160",
c100="rgba(2, 193, 96, 0.2)",
c200="#02C160",
c300="rgba(2, 193, 96, 0.32)",
c400="rgba(2, 193, 96, 0.32)",
c500="rgba(2, 193, 96, 1.0)",
c600="rgba(2, 193, 96, 1.0)",
c700="rgba(2, 193, 96, 0.32)",
c800="rgba(2, 193, 96, 0.32)",
c900="#02C160",
c950="#02C160",
),
secondary_hue=gr.themes.Color(
c50="#576b95",
c100="#576b95",
c200="#576b95",
c300="#576b95",
c400="#576b95",
c500="#576b95",
c600="#576b95",
c700="#576b95",
c800="#576b95",
c900="#576b95",
c950="#576b95",
),
neutral_hue=gr.themes.Color(
name="gray",
c50="#f9fafb",
c100="#f3f4f6",
c200="#e5e7eb",
c300="#d1d5db",
c400="#B2B2B2",
c500="#808080",
c600="#636363",
c700="#515151",
c800="#393939",
c900="#272727",
c950="#171717",
),
radius_size=gr.themes.sizes.radius_sm,
).set(
button_primary_background_fill="#06AE56",
button_primary_background_fill_dark="#06AE56",
button_primary_background_fill_hover="#07C863",
button_primary_border_color="#06AE56",
button_primary_border_color_dark="#06AE56",
button_primary_text_color="#FFFFFF",
button_primary_text_color_dark="#FFFFFF",
button_secondary_background_fill="#F2F2F2",
button_secondary_background_fill_dark="#2B2B2B",
button_secondary_text_color="#393939",
button_secondary_text_color_dark="#FFFFFF",
# background_fill_primary="#F7F7F7",
# background_fill_primary_dark="#1F1F1F",
block_title_text_color="*primary_500",
block_title_background_fill="*primary_100",
input_background_fill="#F6F6F6",
)