Create app.py

app.py

@@ -0,0 +1,1167 @@
+#### pip install gradio==3.50.2
+import gradio as gr
+import pandas as pd
+import numpy as np
+import os
+import json
+import re
+from functools import partial
+
+import jieba
+def repeat_to_one_f(x):
+    req = None
+    for token in jieba.lcut(x):
+        #print("req :", req)
+
+        if len(set(token)) == 1:
+            token = token[0]
+        if req is None:
+            req = token
+        else:
+
+            if token in req:
+                continue
+            else:
+                while req.endswith(token[0]):
+                    token = token[1:]
+                req = req + token
+    return req.strip()
+
+def repeat_to_one_fb(x):
+    return sorted(map(repeat_to_one_f, [x, "".join(jieba.lcut(x)[::-1])]),
+                 key = len
+                 )[0]
+
+repeat_to_one = repeat_to_one_fb
+
+from huggingface_hub import snapshot_download
+
+if not os.path.exists("genshin-impact-character"):
+    path = snapshot_download(
+        repo_id="svjack/genshin-impact-character",
+        repo_type="dataset",
+        local_dir="genshin-impact-character",
+        local_dir_use_symlinks = False
+    )
+
+if not os.path.exists("genshin_impact_character_llamazh13b_ggml"):
+    path = snapshot_download(
+        repo_id="svjack/genshin_impact_character_llamazh13b_ggml",
+        repo_type="model",
+        local_dir="genshin_impact_character_llamazh13b_ggml",
+        local_dir_use_symlinks = False
+    )
+
+info_df = pd.read_csv("genshin-impact-character/genshin_impact_background_settings_constrained.csv")
+info_df["info"] = info_df["info"].map(eval)
+
+with open("genshin-impact-character/genshin_impact_character_setting.json", "r") as f:
+    character_setting_total_dict = json.load(f)
+
+req_dict = {}
+for k, v_dict in character_setting_total_dict.items():
+    req_dict[k] = {}
+    for kk, vv in v_dict.items():
+        if kk != "元素力":
+            req_dict[k][kk] = vv
+character_setting_total_dict = req_dict
+
+def get_character_background_list(info_dict):
+    text = []
+    if "角色详细" in info_dict["描述"]:
+        text.append(info_dict["描述"]["角色详细"])
+    if "更多描述" in info_dict["描述"]:
+        text.append(info_dict["描述"]["更多描述"])
+    return list(map(lambda x: x.replace(" ", "").replace("\n\n", "\n"), text))
+def get_character_background(info_dict):
+    return "\n".join(get_character_background_list(info_dict))
+
+pd.DataFrame(
+pd.Series(character_setting_total_dict.values()).map(
+    lambda x: {
+        "性别": x['性别'],
+        "国籍": x["国籍"]
+    }
+).values.tolist()).apply(lambda x: set(x), axis = 0).to_dict()
+
+
+character_setting_total_dist_dict = {
+ '姓名': "",
+ '性别': {'少女女性', '少年男性', '成年女性', '成年男性'},
+ '国籍': {'枫丹', '璃月', '稻妻', '至冬', '蒙德', '须弥'},
+ '身份': "",
+ '性格特征': "",
+ '角色介绍': "",
+ }
+
+'''
+ #### text background_text
+ text = get_character_background(info_dict)
+'''
+
+def get_character_setting_total_dict(name):
+    from copy import deepcopy
+    req = deepcopy(character_setting_total_dist_dict)
+    if name in character_setting_total_dict:
+        for k, v in character_setting_total_dict[name].items():
+            req[k] = v
+        info_dict = dict(info_df[["title", "info"]].values.tolist())[name]
+        req["角色介绍"] = get_character_background(info_dict)
+    req["姓名"] = name
+    return req
+
+get_character_setting_total_dict("迪卢克")
+
+get_character_setting_total_dict("阿扎尔")
+
+prompt_format_dict = {
+    "Basic_Info": ["性别", "国籍", "身份", "性格特征"],
+
+    "两人同属{}": ["国籍"],
+    "{}来自{},{}来自{}。": ["姓名", "国籍", "姓名", "国籍"],
+
+    "下面是{}的一些基本信息\n{}": ["姓名", "Basic_Info"],
+    "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"],
+
+    "续写下面的角色介绍，下面是角色介绍的开头。{}是{}。{}": ["姓名", "身份", "Text"],
+    "续写下面的角色故事，下面是角色故事的开头。{}是{}。{}": ["姓名", "身份", "Text"],
+    "续写下面获得神之眼的过程，下面是开头。{}是{}。{}": ["姓名", "身份", "Text"],
+    "{}给你写了一封信，信主题是{}，信的内容是这样的。": ["姓名", "Text"],
+
+    "{}在进行有关{}的聊天时会说什么？": ["姓名", "Text"],
+    "{}在{}的时候会说什么？": ["姓名", "Text"],
+    "{}在{}时会说什么？": ["姓名", "Text"],
+    "关于{}，{}会说什么?": ["Text", "姓名"],
+    "当你想要了解{}时": ["姓名"],
+
+    "关于{}，{}会说什么?": ["姓名", "姓名"],
+    "从{}那里，可以获得哪些关于{}的信息？": ["姓名", "姓名"]
+}
+
+def single_character_prompt_func(name,
+    used_prompt_format_dict,
+    character_setting_rewrite_dict = {},
+    Text = "",
+    ):
+    assert type(used_prompt_format_dict) == type({})
+    assert type(character_setting_rewrite_dict) == type({})
+    character_setting_total_dict = get_character_setting_total_dict(name)
+    for k, v in character_setting_rewrite_dict.items():
+        if k in character_setting_total_dict:
+            character_setting_total_dict[k] = v
+    key = list(used_prompt_format_dict.keys())[0]
+    assert key in prompt_format_dict
+    if key == "Basic_Info":
+        return "\n".join(
+        map(lambda k: "{}:{}".format(k, character_setting_total_dict[k]), prompt_format_dict[key])
+        )
+    elif key == "两人同属{}":
+        return "两人同属{}".format(character_setting_total_dict["国籍"])
+    elif key == "下面是{}的一些基本信息\n{}":
+        return "下面是{}的一些基本信息\n{}".format(name,
+            single_character_prompt_func(name,
+                {
+                    "Basic_Info": ["性别", "国籍", "身份", "性格特征"]
+                },
+                character_setting_rewrite_dict
+            )
+        )
+    elif key == "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}":
+        return "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}".format(
+            name,
+            single_character_prompt_func(name,
+                {
+                    "Basic_Info": ["性别", "国籍", "身份", "性格特征"]
+                },
+                character_setting_rewrite_dict
+            ),
+            character_setting_total_dict["角色介绍"]
+        )
+    elif key == "续写下面的角色介绍，下面是角色介绍的开头。{}是{}。{}":
+        return "续写下面的角色介绍，下面是角色介绍的开头。{}是{}。{}".format(
+            name,
+            character_setting_total_dict["身份"],
+            Text
+        )
+    elif key == "续写下面的角色故事，下面是角色故事的开头。{}是{}。{}":
+        return "续写下面的角色故事，下面是角色介绍的开头。{}是{}。{}".format(
+            name,
+            character_setting_total_dict["身份"],
+            Text
+        )
+    elif key == "续写下面获得神之眼的过程，下面是开头。{}是{}。{}":
+        return "续写下面获得神之眼的过程，下面是开头。{}是{}。{}".format(
+            name,
+            character_setting_total_dict["身份"],
+            Text
+        )
+    elif key == "{}给你写了一封信，信主题是{}，信的内容是这样的。":
+        return "{}给你写了一封信，信主题是{}，信的内容是这样的。".format(
+            name,
+            Text
+        )
+    elif key == "{}在进行有关{}的聊天时会说什么？":
+        return "{}在进行有关{}的聊天时会说什么？".format(
+            name,
+            Text
+        )
+    elif key == "{}在{}的时候会说什么？":
+        return "{}在{}的时候会说什么？".format(
+            name,
+            Text
+        )
+    elif key == "{}在{}时会说什么？":
+        return "{}在{}时会说什么？".format(
+            name,
+            Text
+        )
+    elif key == "关于{}，{}会说什么?":
+        return "关于{}，{}会说什么?".format(
+            Text,
+            name,
+        )
+    elif key == "当你想要了解{}时":
+        return "当你想要了解{}时".format(
+            name,
+        )
+    return 1 / 0
+
+def two_character_prompt_func(
+    name_1,
+    name_2,
+    used_prompt_format_dict,
+    character_setting_rewrite_dict_1 = {},
+    character_setting_rewrite_dict_2 = {},
+    ):
+    assert type(character_setting_rewrite_dict_1) == type({})
+    character_setting_total_dict_1 = get_character_setting_total_dict(name_1)
+    for k, v in character_setting_rewrite_dict_1.items():
+        if k in character_setting_total_dict_1:
+            character_setting_total_dict_1[k] = v
+    character_setting_total_dict_2 = get_character_setting_total_dict(name_2)
+    for k, v in character_setting_rewrite_dict_2.items():
+        if k in character_setting_total_dict_2:
+            character_setting_total_dict_2[k] = v
+    key = list(used_prompt_format_dict.keys())[0]
+    assert key in prompt_format_dict
+    if key == "关于{}，{}会说什么?":
+        return "关于{}，{}会说什么?".format(name_1, name_2)
+    elif key == "从{}那里，可以获得哪些关于{}的信息？":
+        return "从{}那里，可以获得哪些关于{}的信息？".format(name_1, name_2)
+    elif key == "{}来自{},{}来自{}。":
+        return "{}来自{},{}来自{}。".format(name_1, character_setting_total_dict_1["国籍"],
+        name_2, character_setting_total_dict_2["国籍"],
+        )
+    return 1 / 0
+
+def main_single_character_prompt_func(name,
+    used_prompt_format_dict,
+    character_setting_rewrite_dict = {},
+    Text = "",
+    ):
+    key = list(used_prompt_format_dict.keys())[0]
+    assert key in prompt_format_dict
+    if key == "续写下面的角色介绍，下面是角色介绍的开头。{}是{}。{}":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+                "下面是{}的一些基本信息\n{}": ["姓名", "Basic_Info"]
+            },
+            character_setting_rewrite_dict,
+            Text
+        )
+    elif key == "续写下面的角色故事，下面是角色故事的开头。{}是{}。{}":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+
+    elif key == "续写下面获得神之眼的过程，下面是开头。{}是{}。{}":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+
+    elif key == "{}给你写了一封信，信主题是{}，信的内容是这样的。":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    elif key == "{}在进行有关{}的聊天时会说什么？":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    elif key == "{}在{}的时候会说什么？":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    elif key == "{}在{}时会说什么？":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    elif key == "关于{}，{}会说什么?":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    elif key == "当你想要了解{}时":
+        task_prompt = single_character_prompt_func(
+            name,
+            used_prompt_format_dict,
+            character_setting_rewrite_dict,
+            Text
+        )
+        info_prompt = single_character_prompt_func(
+            name,
+            {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+            },
+            character_setting_rewrite_dict,
+            Text
+            )
+    return task_prompt, info_prompt
+
+def main_two_character_prompt_func(
+    name_1,
+    name_2,
+    used_prompt_format_dict,
+    character_setting_rewrite_dict_1 = {},
+    character_setting_rewrite_dict_2 = {},
+    ):
+    task_prompt = two_character_prompt_func(
+        name_1,
+        name_2,
+        used_prompt_format_dict,
+        character_setting_rewrite_dict_1,
+        character_setting_rewrite_dict_2)
+    info_prompt_1 = single_character_prompt_func(
+        name_1,
+        {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+        },
+        character_setting_rewrite_dict_1,
+        )
+    info_prompt_2 = single_character_prompt_func(
+        name_2,
+        {
+            "下面是{}的一些基本信息\n{}\n这些是一段角色介绍\n{}": ["姓名", "Basic_Info", "角色介绍"]
+        },
+        character_setting_rewrite_dict_2,
+        )
+    character_setting_total_dict_1 = get_character_setting_total_dict(name_1)
+    for k, v in character_setting_rewrite_dict_1.items():
+        if k in character_setting_total_dict_1:
+            character_setting_total_dict_1[k] = v
+    character_setting_total_dict_2 = get_character_setting_total_dict(name_2)
+    for k, v in character_setting_rewrite_dict_2.items():
+        if k in character_setting_total_dict_2:
+            character_setting_total_dict_2[k] = v
+
+    country_prompt = ""
+    same_country = character_setting_total_dict_1["国籍"] == character_setting_total_dict_2["国籍"]
+    if same_country:
+        country_prompt = single_character_prompt_func(
+            name_1,
+            {
+                "两人同属{}": ["国籍"]
+            },
+            character_setting_rewrite_dict_1,
+            )
+    else:
+        country_prompt = two_character_prompt_func(
+                name_1,
+                name_2,
+                {
+                "{}来自{},{}来自{}。": ["姓名", "国籍", "姓名", "国籍"]
+                },
+                character_setting_rewrite_dict_1,
+                character_setting_rewrite_dict_2,
+            )
+    info_prompt = "\n".join(
+        [info_prompt_1, info_prompt_2, country_prompt]
+    )
+    return task_prompt, info_prompt
+
+def main_single_character_prompt_func_cls(
+    name,
+    task,
+    character_setting_rewrite_dict = {},
+    Text = "",
+):
+    #assert task in ["介绍", "故事", "神之眼", "信", "聊天", "时候", "关于", "了解"]
+    assert task in ["介绍", "故事", "信", "聊天", "时候", "关于", "了解"]
+    if task == "介绍":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "续写下面的角色介绍，下面是角色介绍的开头。{}是{}。{}": ["姓名", "身份", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "故事":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "续写下面的角色故事，下面是角色故事的开头。{}是{}。{}": ["姓名", "身份", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "神之眼":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "续写下面获得神之眼的过程，下面是开头。{}是{}。{}": ["姓名", "身份", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "信":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "{}给你写了一封信，信主题是{}，信的内容是这样的。": ["姓名", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "聊天":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "{}在进行有关{}的聊天时会说什么？": ["姓名", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "时候":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "{}在{}的时候会说什么？": ["姓名", "Text"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "关于":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "关于{}，{}会说什么?": ["Text", "姓名"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    elif task == "了解":
+        return main_single_character_prompt_func(
+            name,
+            {
+            "当你想要了解{}时": ["姓名"],
+            },
+            character_setting_rewrite_dict = character_setting_rewrite_dict,
+            Text = Text,
+        )
+    return 1 / 0
+
+def main_two_character_prompt_func_cls(
+    name_1,
+    name_2,
+    task,
+    character_setting_rewrite_dict_1 = {},
+    character_setting_rewrite_dict_2 = {},
+    ):
+    assert task in ["会说什么", "哪些信息"]
+    if task == "会说什么":
+        return main_two_character_prompt_func(
+            name_1,
+            name_2,
+            {
+            "关于{}，{}会说什么?": ["姓名", "姓名"],
+            },
+            character_setting_rewrite_dict_1,
+            character_setting_rewrite_dict_2
+        )
+    elif task == "哪些信息":
+        return main_two_character_prompt_func(
+            name_1,
+            name_2,
+            {
+            "从{}那里，可以获得哪些关于{}的信息？": ["姓名", "姓名"]
+            },
+            character_setting_rewrite_dict_1,
+            character_setting_rewrite_dict_2
+        )
+    return 1 / 0
+
+character_setting_total_dist_dict = {
+ '姓名': "",
+ '性别': {'少女女性', '少年男性', '成年女性', '成年男性'},
+ '国籍': {'枫丹', '璃月', '稻妻', '至冬', '蒙德', '须弥'},
+ '身份': "",
+ '性格特征': "",
+ '角色介绍': "",
+ }
+
+all_single_task = ["介绍", "故事", "信", "聊天", "时候", "关于", "了解"]
+all_two_task = ["会说什么", "哪些信息"]
+
+all_genders = ['少女女性', '少年男性', '成年女性', '成年男性']
+all_countries = ['蒙德','璃月', '稻妻', '须弥','枫丹', '至冬']
+
+def change_single_name(single_name):
+    if hasattr(single_name, "value"):
+        single_name_ = single_name.value
+    else:
+        single_name_ = single_name
+    character_setting_total_dict = get_character_setting_total_dict(single_name)
+    character_setting_total_dict = dict(map(lambda t2: (t2[0] ,t2[1] if type(t2[1]) == type("") else ""),
+        character_setting_total_dict.items()))
+    return character_setting_total_dict["姓名"], \
+    gr.Dropdown.update(value = character_setting_total_dict["性别"], choices = all_genders), \
+    gr.Dropdown.update(value = character_setting_total_dict["国籍"], choices = all_countries), \
+        character_setting_total_dict["身份"], \
+        character_setting_total_dict["性格特征"], character_setting_total_dict["角色介绍"]
+
+def get_single_prompt(
+    single_name, select_gender, select_country, single_identity, single_disposition,
+    select_task, Text, single_introduction
+):
+    if hasattr(single_name, "value"):
+        single_name_ = single_name.value
+    else:
+        single_name_ = single_name
+    if hasattr(select_gender, "value"):
+        select_gender_ = select_gender.value
+    else:
+        select_gender_ = select_gender
+    if hasattr(select_country, "value"):
+        select_country_ = select_country.value
+    else:
+        select_country_ = select_country
+    if hasattr(single_identity, "value"):
+        single_identity_ = single_identity.value
+    else:
+        single_identity_ = single_identity
+    if hasattr(single_disposition, "value"):
+        single_disposition_ = single_disposition.value
+    else:
+        single_disposition_ = single_disposition
+    if hasattr(select_task, "value"):
+        select_task_ = select_task.value
+    else:
+        select_task_ = select_task
+    if hasattr(Text, "value"):
+        Text_ = Text.value
+    else:
+        Text_ = Text
+    if hasattr(single_introduction, "value"):
+        single_introduction_ = single_introduction.value
+    else:
+        single_introduction_ = single_introduction
+    character_setting_rewrite_dict = {
+     '姓名': single_name_,
+     '性别': select_gender_,
+     '国籍': select_country_,
+     '身份': single_identity_,
+     '性格特征': single_disposition_,
+     '角色介绍': single_introduction_,
+     }
+    a, b = main_single_character_prompt_func_cls(
+        single_name_,
+        select_task_,
+        character_setting_rewrite_dict = character_setting_rewrite_dict,
+        Text = Text,
+        )
+    return "\n".join([b, a])
+
+def get_two_prompt(
+    single_name_1, select_gender_1, select_country_1, single_identity_1, single_disposition_1,
+    single_introduction_1,
+    single_name_2, select_gender_2, select_country_2, single_identity_2, single_disposition_2,
+    single_introduction_2, two_task,
+):
+    assert two_task in ["会说什么", "哪些信息"]
+    if hasattr(single_name_1, "value"):
+        single_name_1_ = single_name_1.value
+    else:
+        single_name_1_ = single_name_1
+    if hasattr(select_gender_1, "value"):
+        select_gender_1_ = select_gender_1.value
+    else:
+        select_gender_1_ = select_gender_1
+    if hasattr(select_country_1, "value"):
+        select_country_1_ = select_country_1.value
+    else:
+        select_country_1_ = select_country_1
+    if hasattr(single_identity_1, "value"):
+        single_identity_1_ = single_identity_1.value
+    else:
+        single_identity_1_ = single_identity_1
+    if hasattr(single_disposition_1, "value"):
+        single_disposition_1_ = single_disposition_1.value
+    else:
+        single_disposition_1_ = single_disposition_1
+    if hasattr(single_introduction_1, "value"):
+        single_introduction_1_ = single_introduction_1.value
+    else:
+        single_introduction_1_ = single_introduction_1
+
+    if hasattr(single_name_2, "value"):
+        single_name_2_ = single_name_2.value
+    else:
+        single_name_2_ = single_name_2
+    if hasattr(select_gender_2, "value"):
+        select_gender_2_ = select_gender_2.value
+    else:
+        select_gender_2_ = select_gender_2
+    if hasattr(select_country_2, "value"):
+        select_country_2_ = select_country_2.value
+    else:
+        select_country_2_ = select_country_2
+    if hasattr(single_identity_2, "value"):
+        single_identity_2_ = single_identity_2.value
+    else:
+        single_identity_2_ = single_identity_2
+    if hasattr(single_disposition_2, "value"):
+        single_disposition_2_ = single_disposition_2.value
+    else:
+        single_disposition_2_ = single_disposition_2
+    if hasattr(single_introduction_2, "value"):
+        single_introduction_2_ = single_introduction_2.value
+    else:
+        single_introduction_2_ = single_introduction_2
+    character_setting_rewrite_dict_1 = {
+     '姓名': single_name_1_,
+     '性别': select_gender_1_,
+     '国籍': select_country_1_,
+     '身份': single_identity_1_,
+     '性格特征': single_disposition_1_,
+     '角色介绍': single_introduction_1_,
+     }
+    character_setting_rewrite_dict_2 = {
+     '姓名': single_name_2_,
+     '性别': select_gender_2_,
+     '国籍': select_country_2_,
+     '身份': single_identity_2_,
+     '性格特征': single_disposition_2_,
+     '角色介绍': single_introduction_2_,
+     }
+
+    a, b = main_two_character_prompt_func_cls(
+        single_name_1_,
+        single_name_2_,
+        two_task,
+        character_setting_rewrite_dict_1 = character_setting_rewrite_dict_1,
+        character_setting_rewrite_dict_2 = character_setting_rewrite_dict_2,
+        )
+    return "\n".join([b, a])
+
+import re
+import pandas as pd
+def retrieve_sent_split(sent,
+                       stops_split_pattern = "|".join(map(lambda x: r"\{}".format(x),
+                                                                 ",." + "，。" + ":" + "n"))
+                       ):
+    if not sent.strip():
+        return []
+
+    split_list = re.split(stops_split_pattern, sent)
+    split_list = list(filter(lambda x: x.strip() ,split_list))
+    return split_list
+
+def stop_criteria(sent, min_sub_len = 4):
+    #### chunk rec stop
+    split_list = retrieve_sent_split(sent)
+    split_list = list(filter(lambda x: len(x) >= min_sub_len,split_list))
+    if split_list:
+        if pd.Series(split_list).value_counts().max() >= 2:
+            print("stop in : {}".format(sent))
+            return "stop"
+    #### row rec stop
+    if list(filter(lambda x: x ,map(lambda x: x.strip(),sent.split("\n")))) and pd.Series(list(filter(lambda x: x ,map(lambda x: x.strip(),sent.split("\n"))))).value_counts().max() >= 2:
+        return "stop"
+    return "continue"
+
+#model_file_path = "llama2zh-13b-3900-q4_0.gguf"
+#model_file_path = "llama2zh-1_3b-4500-q4_0.gguf"
+#model_file_path = "llama2zh-13b-9300-q4_0.gguf"
+#model_file_path = "llama2zh-13b-7500-q4_0.gguf"
+model_file_path = "genshin_impact_character_llamazh13b_ggml/llama2zh-13b-3900-q4_0.gguf"
+
+from llama_cpp import Llama
+llama = Llama(model_file_path,
+                  n_ctx = 4090,
+                  n_threads=2,            # The number of CPU threads to use, tailor to your system and the resulting performance
+                  #n_gpu_layers=-1
+                  )
+print("load {}".format(model_file_path))
+
+def repeat_cmp_process(x, ratio_threshold = 0.3):
+    l = x.split("\n")
+    l = list(filter(lambda y: y.strip(), l))
+    req = []
+    for ele in l:
+        one_ele = repeat_to_one(ele)
+        if ele.strip() and (len(one_ele) / len(ele)) <= ratio_threshold:
+            req.append(one_ele)
+        else:
+            req.append(ele)
+    return "\n".join(req)
+
+def text_process_before_yield(x, add_repeat_process = True):
+    import re
+    x = x.strip()
+    if len(x.split("\n")) <= 1:
+        #return repeat_to_one_fb(x)
+        if add_repeat_process:
+            return repeat_cmp_process(x)
+        return x
+    zh_list = re.findall(u"[\u4e00-\u9fa5]+" ,x)
+    if zh_list:
+        last_zh = zh_list[-1]
+        l = list(map(lambda y: y.strip() ,x.split("\n")))
+        l_rev = l[::-1]
+        l_rev_collect = []
+        find_it = False
+        for ele in l_rev:
+            if not ele.endswith(last_zh):
+                find_it = True
+            else:
+                pass
+            if find_it:
+                l_rev_collect.append(ele)
+        l_collect = l_rev_collect[::-1]
+        #print(l_collect)
+        req = "\n".join(l_collect)
+        '''
+        zh_list = re.findall(u"[\u4e00-\u9fa5]+" ,x)
+        if zh_list:
+            req = req[req.find(zh_list[0]):]
+        '''
+        #return repeat_to_one_fb(req)
+        if add_repeat_process:
+            return repeat_cmp_process(req)
+        return req
+    return ""
+
+def llama2_zh_predict(message, llama = llama,
+    max_output_length = 512, max_message_length = 1024, top_p = 0.8,
+    use_system = True, temperature = 0.8
+):
+    message = message[:max_message_length]
+    DEFAULT_SYSTEM_PROMPT = """You are a helpful assistant. 你是一个乐于助人的助手。"""
+
+    TEMPLATE_WITH_SYSTEM_PROMPT = (
+        "[INST] <<SYS>>\n"
+        "{system_prompt}\n"
+        "<</SYS>>\n\n"
+        "{instruction} [/INST]"
+    )
+
+    TEMPLATE_WITHOUT_SYSTEM_PROMPT = "[INST] {instruction} [/INST]"
+    if use_system:
+        input_prompt = TEMPLATE_WITH_SYSTEM_PROMPT.format(
+            **{
+                "system_prompt": DEFAULT_SYSTEM_PROMPT,
+                "instruction": message
+            }
+        )
+    else:
+        input_prompt = TEMPLATE_WITHOUT_SYSTEM_PROMPT.format(**{"instruction": message})
+    #print(input_prompt)
+    streamer = llama(input_prompt,max_tokens=max_output_length,
+    stream = True, temperature = temperature, top_p = top_p)
+    #print(output["choices"][0]["text"])
+    partial_message = ""
+    for msg in streamer:
+        #print(msg)
+        message = msg['choices'][0]['text']
+        #if 'content' in message:
+        partial_message += message
+        #print(partial_message)
+        if stop_criteria(partial_message) == "stop":
+            partial_message = "\n".join(partial_message.split("\n")[:-1])
+            break
+        yield text_process_before_yield(partial_message)
+        if len(partial_message) >= max_output_length:
+            break
+
+def process_text(x):
+    rp_list = ["[/INST]","/INST]","[/INST","/INST","[/INST>","INST","[/CHARACTER]"]
+    for ele in rp_list:
+        x = x.replace(ele, " ")
+    return x
+
+def run_single(
+    single_name, select_gender, select_country, single_identity, single_disposition,
+    select_task, Text, single_introduction,
+    gen_times, max_length, top_p, temperature):
+    prompt = get_single_prompt(
+        single_name, select_gender, select_country, single_identity, single_disposition,
+        select_task, Text, single_introduction
+    )
+    req = []
+    for i in range(gen_times):
+        for ele in llama2_zh_predict(prompt,
+            max_output_length = max_length,
+            top_p = top_p,
+            temperature = temperature
+        ):
+            pass
+        #yield ele
+        req.append(ele)
+    req = sorted(set(filter(lambda x: x.strip(), req)), key = lambda y: -1 * len(y))
+    req = "\n\n".join(map(lambda t2: "结果{}:\n{}".format(t2[0], t2[1]), enumerate(req)))
+    req = process_text(req)
+    return req
+
+def run_two(
+    single_name_1, select_gender_1, select_country_1, single_identity_1, single_disposition_1,
+    single_introduction_1,
+    single_name_2, select_gender_2, select_country_2, single_identity_2, single_disposition_2,
+    single_introduction_2,
+    gen_times, max_length, top_p, temperature):
+    two_prompt = partial(get_two_prompt, two_task = "哪些信息")(
+        single_name_1, select_gender_1, select_country_1, single_identity_1, single_disposition_1,
+        single_introduction_1,
+        single_name_2, select_gender_2, select_country_2, single_identity_2, single_disposition_2,
+        single_introduction_2
+    )
+    req = []
+    for i in range(gen_times):
+        for ele in llama2_zh_predict(two_prompt,
+            max_output_length = max_length,
+            top_p = top_p,
+            temperature = temperature
+        ):
+            pass
+        #yield ele
+        req.append(ele)
+    req = sorted(set(filter(lambda x: x.strip(), req)), key = lambda y: -1 * len(y))
+    req_ = []
+    for ele in req:
+        zh_list = re.findall(u"[\u4e00-\u9fa5]+" ,ele)
+        if len(zh_list) >= 2:
+            ele = ele[ele.find(zh_list[1]):]
+        req_.append(ele)
+    req = req_
+    req = "\n\n".join(map(lambda t2: "结果{}:\n{}".format(t2[0], t2[1]), enumerate(req)))
+    req = process_text(req)
+    return req
+
+all_single_task = ["介绍", "故事", "信", "聊天", "时候", "关于", "了解"]
+all_two_task = ["会说什么", "哪些信息"]
+
+with gr.Blocks() as demo:
+    title = gr.HTML(
+            """<h1 align="center"> <font size="+3"> Genshin Impact Character llama2zh Instruction 📊 </font> </h1>""",
+            elem_id="title",
+    )
+
+    with gr.Tab("单个角色任务指令"):
+        with gr.Row():
+            with gr.Column(0.5):
+                with gr.Row():
+                    select_name = gr.Dropdown(label="选择角色",
+                            choices= [""] + list(character_setting_total_dict.keys()),
+                            info = "可选择。原神沉玉谷前的内建角色",
+                            value="")
+                    single_name = gr.Text(label = "角色姓名",
+                            info = "可编辑。角色姓名会重写选择角色，用这个选项可以新建角色",
+                            interactive = True)
+                with gr.Row():
+                    select_gender = gr.Dropdown(label="性别",
+                            choices=all_genders,
+                            info = "可选择",
+                            value=all_genders[0], interactive = True)
+                    select_country = gr.Dropdown(label="国籍",
+                            choices=all_countries,
+                            info = "可选择",
+                            value=all_countries[0], interactive = True)
+                    #with gr.Column():
+                single_identity = gr.Text(label = "身份", info = "可编辑", interactive = True)
+                single_disposition = gr.Text(label = "性格特征", info = "可编辑", interactive = True)
+                select_task = gr.Dropdown(label="选择任务",
+                        choices=all_single_task,
+                        info = "可选择",
+                        value=all_single_task[0], interactive = True)
+                Text = gr.Text(label = "任务追加信息", interactive = True, lines = 4,
+                    info = "可编辑。这些信息除了‘了解’任务外不应该为空。对于不同任务填入的值不同。"
+                    "（介绍->前缀 故事->前缀 信->主题 聊天->主题 时候->事件 关于->看法 了解->了解角色自身）"
+                )
+
+            with gr.Column(0.5):
+                single_introduction = gr.Text(label = "角色介绍", info = "可编辑",
+                interactive = True, lines = 36)
+
+        with gr.Row():
+            single_prompt_run_button = gr.Button("得到任务结果")
+            output = gr.Text(label = "任务生成结果", info = "可编辑", lines = 2, scale = 5.0)
+            #output = gr.JSON(label = "任务生成结果", info = "可编辑", lines = 5, scale = 5.0)
+
+    with gr.Tab("两个角色看法指令"):
+        with gr.Row():
+            with gr.Column(0.5):
+                with gr.Row():
+                    select_name_1 = gr.Dropdown(label="选择角色",
+                            choices= [""] + list(character_setting_total_dict.keys()),
+                            info = "可选择。原神沉玉谷前的内建角色",
+                            value="")
+                    single_name_1 = gr.Text(label = "角色姓名",
+                            info = "可编辑。角色姓名会重写选择角色，用这个选项可以新建角色",
+                            interactive = True)
+                with gr.Row():
+                    select_gender_1 = gr.Dropdown(label="性别",
+                            choices=all_genders,
+                            info = "可选择",
+                            value=all_genders[0], interactive = True)
+                    select_country_1 = gr.Dropdown(label="国籍",
+                            choices=all_countries,
+                            info = "可选择",
+                            value=all_countries[0], interactive = True)
+                    #with gr.Column():
+                single_identity_1 = gr.Text(label = "身份", info = "可编辑", interactive = True)
+                single_disposition_1 = gr.Text(label = "性格特征", info = "可编辑", interactive = True)
+                single_introduction_1 = gr.Text(label = "角色介绍", info = "可编辑",
+                interactive = True, lines = 36)
+
+            with gr.Column(0.5):
+                with gr.Row():
+                    select_name_2 = gr.Dropdown(label="选择角色",
+                            choices= [""] + list(character_setting_total_dict.keys()),
+                            info = "可选择。原神沉玉谷前的内建角色",
+                            value="")
+                    single_name_2 = gr.Text(label = "角色姓名",
+                            info = "可编辑。角色姓名会重写选择角色，用这个选项可以新建角色",
+                            interactive = True)
+                with gr.Row():
+                    select_gender_2 = gr.Dropdown(label="性别",
+                            choices=all_genders,
+                            info = "可选择",
+                            value=all_genders[0], interactive = True)
+                    select_country_2 = gr.Dropdown(label="国籍",
+                            choices=all_countries,
+                            info = "可选择",
+                            value=all_countries[0], interactive = True)
+                    #with gr.Column():
+                single_identity_2 = gr.Text(label = "身份", info = "可编辑", interactive = True)
+                single_disposition_2 = gr.Text(label = "性格特征", info = "可编辑", interactive = True)
+                single_introduction_2 = gr.Text(label = "角色介绍", info = "可编辑",
+                interactive = True, lines = 36)
+
+        with gr.Row():
+            two_prompt_run_button = gr.Button("得到角色间看法")
+            two_output = gr.Text(label = "角色间看法结果", info = "可编辑", lines = 2, scale = 5.0)
+            #two_output = gr.JSON(label = "角色间看法结果", info = "可编辑", lines = 5, scale = 5.0)
+
+    with gr.Row():
+        gen_times = gr.Slider(1, 10, value=3, step=1.0, label="Generate Num", interactive=True)
+        max_length = gr.Slider(0, 32768, value=512, step=1.0, label="Maximum length", interactive=True)
+        top_p = gr.Slider(0, 1, value=0.8, step=0.01, label="Top P", interactive=True)
+        temperature = gr.Slider(0.01, 1, value=0.6, step=0.01, label="Temperature", interactive=True)
+
+    with gr.Row():
+        gr.Examples(
+            [
+            ["五郎",  "介绍"],
+            ],
+            inputs = [select_name, select_task],
+            label = "单个角色任务指令例子"
+        )
+    with gr.Row():
+        gr.Examples(
+            [
+            #["行秋",  "故事", "一天行秋在绝云间练剑。"],
+            ["行秋",  "故事", "一天行秋到望舒客栈吃饭。"],
+            ["柯莱",  "信", "鸟语花香"],
+            #["夏沃蕾",  "聊天", "日常巡逻"],
+            ["夜兰",  "聊天", "夜来香"],
+            #["刻晴",  "时候", "谈到璃月民生"],
+            ["凝光", "时候", "品尝璃月香茗"],
+            ["可莉",  "关于", "如何制造蹦蹦炸弹"],
+            ["北斗",  "了解", ""],
+            ],
+            inputs = [select_name, select_task, Text],
+            label = "单个角色任务指令例子"
+        )
+    with gr.Row():
+        gr.Examples(
+            [
+            ["大慈树王",  "故事", "大慈树王到须弥沙漠上播种。",
+            "成年女性", "须弥", "须弥的统治者",
+            "爱民如子，带领雨林的人民战胜灾厄",
+            '''
+            草神之所以也被称之为“智慧之神”，正是因为她的意识连接着世界之树。在须弥人眼里，她是智慧的化身、仁慈与无所不能的象征，但她却在几百年前的灾难中消失了。
+在漫长的历史当中，须弥历经浩劫，种种险情都被大慈树王一一化解。大慈树王创造出雨林，使得须弥人能获得安宁的生活。而须弥最初的教令院，便是由长久地去追随大慈树王的学者组成，他们各司其职，协助大慈树王管理须弥。最能理解大慈树王的力量和哲思的，只能是教令院了。
+            '''
+            ],
+            ["大慈树王",  "关于", "教令院",
+            "成年女性", "须弥", "须弥的统治者",
+            "爱民如子，带领雨林的人民战胜灾厄",
+            '''
+            草神之所以也被称之为“智慧之神”，正是因为她的意识连接着世界之树。在须弥人眼里，她是智慧的化身、仁慈与无所不能的象征，但她却在几百年前的灾难中消失了。
+在漫长的历史当中，须弥历经浩劫，种种险情都被大慈树王一一化解。大慈树王创造出雨林，使得须弥人能获得安宁的生活。而须弥最初的教令院，便是由长久地去追随大慈树王的学者组成，他们各司其职，协助大慈树王管理须弥。最能理解大慈树王的力量和哲思的，只能是教令院了。
+            '''
+            ],
+            ],
+            inputs = [single_name, select_task, Text, select_gender, select_country, single_identity,
+            single_disposition, single_introduction
+            ],
+            label = "单个角色任务指令例子"
+        )
+
+    with gr.Row():
+        gr.Examples(
+            [
+            ["芙宁娜",  "那维莱特"],
+            ],
+            inputs = [select_name_1, select_name_2],
+            label = "两个角色看法指令例子"
+        )
+
+    with gr.Row():
+        gr.Examples(
+            [
+            ["提纳里",  "大慈树王",
+            "成年女性", "须弥", "须弥的统治者",
+            "爱民如子，带领雨林的人民战胜灾厄",
+                        '''
+                        草神之所以也被称之为“智慧之神”，正是因为她的意识连接着世界之树。在须弥人眼里，她是智慧的化身、仁慈与无所不能的象征，但她却在几百年前的灾难中消失了。
+            在漫长的历史当中，须弥历经浩劫，种种险情都被大慈树王一一化解。大慈树王创造出雨林，使得须弥人能获得安宁的生活。而须弥最初的教令院，便是由长久地去追随大慈树王的学者组成，他们各司其职，协助大慈树王管理须弥。最能理解大慈树王的力量和哲思的，只能是教令院了。
+                        '''
+            ],
+            ],
+            inputs = [select_name_1, single_name_2,
+            select_gender_2, select_country_2, single_identity_2,
+            single_disposition_2, single_introduction_2
+            ],
+            label = "两个角色看法指令例子"
+        )
+
+    select_name.change(
+        lambda x: x, select_name, single_name
+    )
+
+    select_name_1.change(
+        lambda x: x, select_name_1, single_name_1
+    )
+
+    select_name_2.change(
+        lambda x: x, select_name_2, single_name_2
+    )
+
+    select_name.change(
+        change_single_name, select_name,
+            [single_name, select_gender, select_country,
+            single_identity, single_disposition, single_introduction
+            ]
+    )
+
+    select_name_1.change(
+        change_single_name, select_name_1,
+            [single_name_1, select_gender_1, select_country_1,
+            single_identity_1, single_disposition_1, single_introduction_1
+            ]
+    )
+
+    select_name_2.change(
+        change_single_name, select_name_2,
+            [single_name_2, select_gender_2, select_country_2,
+            single_identity_2, single_disposition_2, single_introduction_2
+            ]
+    )
+
+    single_prompt_run_button.click(run_single, [
+        single_name, select_gender, select_country, single_identity, single_disposition,
+        select_task, Text, single_introduction,
+    gen_times, max_length, top_p, temperature
+    ], output)
+    two_prompt_run_button.click(run_two, [
+    single_name_1, select_gender_1, select_country_1, single_identity_1, single_disposition_1,
+    single_introduction_1,
+    single_name_2, select_gender_2, select_country_2, single_identity_2, single_disposition_2,
+    single_introduction_2,
+    gen_times, max_length, top_p, temperature], two_output)
+
+#demo.launch("0.0.0.0", show_api=False, share = True)
+demo.queue(max_size=4, concurrency_count=1).launch(debug=True, show_api=False, share = True)