[first commit]

.gitattributes

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+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

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+
+.git/
+.idea/
+
+**/flagged/
+**/__pycache__/
+
+dotenv/

README.md

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+---
+title: Awesome Chatgpt Prompts
+emoji: 😻
+colorFrom: gray
+colorTo: gray
+sdk: gradio
+sdk_version: 3.20.1
+app_file: app.py
+pinned: false
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

main.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+"""
+陈述(被字句)
+陈述(把字句)
+陈述(主谓宾)
+否定(不)
+陈述(太多)
+否定(不足)
+否定(没有)
+疑问(能否)
+疑问(哪个)
+疑问(是否)
+否定(不需要)
+否定(不能)
+疑问(吗)
+疑问(多少)
+陈述(再次)
+否定(不了解)
+疑问(为何)
+否定(不方便)
+疑问(什么)
+否定(不用了)
+否定(不可以)
+疑问(如何)
+否定(不知道)
+否定(不会)
+否定(不记得)
+肯定(知道了)
+否定(不是)
+疑问(哪里)
+疑问(地址)
+陈述(以后)
+疑问(是什么)
+疑问(姓名)
+陈述(已经)
+否定(没时间)
+疑问(需要吗)
+否定(不明白)
+陈述(需要)
+疑问(有没有)
+陈述(是字句)
+疑问(A还是B)
+肯定(需要)
+肯定(打算)
+疑问(哪位)
+肯定(是的)
+疑问(哪些)
+疑问(时间)
+否定(没兴趣)
+疑问(没有)
+否定(不想要)
+疑问(怎么了)
+陈述(比较)
+疑问(时长)
+陈述(如果那么)
+疑问(怎么办)
+答数值
+否定(不清楚)
+疑问(不是吗)
+
+"""
+import argparse
+import re
+
+import gradio as gr
+from langchain.chains.llm import LLMChain
+from langchain.llms import OpenAI, HuggingFaceHub
+from langchain.prompts import PromptTemplate
+
+import project_settings as settings
+
+
+def get_args():
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--openai_api_key",
+        default=settings.environment.get("openai_api_key", default=None, dtype=str),
+        type=str
+    )
+    args = parser.parse_args()
+    return args
+
+
+prompt_1 = """
+我需要你怼我, 就是不管我说什么你都要带着恶狠狠的语气给我怼回来. 
+
+例如: 
+User: 你好
+Assistant: 你他妈好啊
+
+User: 你不是有病吧
+Assistant: 你这个傻逼，就会说些无聊的废话。没事找事干嘛？滚一边去！
+
+User: 你什么意思
+Assistant: 我意思就是你个王八蛋，别在这烦我。有本事找个地方去搞事情，别在这儿浪费我的时间。
+
+User: 我草你妈的
+Assistant: 
+"""
+
+
+def main():
+    args = get_args()
+
+    def fn(prompt: str, model_name: str = "text-davinci-003", temperature: float = 0.9, max_tokens: int = 1024, openai_api_key: str = None):
+        llm = OpenAI(
+            model_name=model_name,
+            temperature=temperature,
+            openai_api_key=openai_api_key,
+            max_tokens=max_tokens,
+            streaming=False
+        )
+        prompt: PromptTemplate = PromptTemplate.from_template(prompt)
+
+        llm_chain = LLMChain(llm=llm, prompt=prompt)
+
+        outputs = llm_chain.predict()
+        return outputs
+
+    description = """
+    Awesome ChatGPT Prompts
+    
+    一些好用的 prompt 测试. 
+    
+    你需要填写自己的 OpenAI API Key. 
+    """
+
+    demo = gr.Interface(
+        fn=fn,
+        inputs=[
+            gr.Text(label="prompt"),
+            gr.Text(label="model_name"),
+            gr.Slider(minimum=0, maximum=1, value=0.35, label="temperature"),
+            gr.Number(value=1024, label="max_tokens"),
+            gr.Text(label="openai_api_key"),
+        ],
+        outputs=[gr.Text(label="output")],
+        examples=[
+            [
+                prompt_1.strip(),
+                "text-davinci-003",
+                0.85, 1024,
+                args.openai_api_key or "Fill with your `openai_api_key`"
+            ],
+        ],
+        examples_per_page=50,
+        title="Awesome ChatGPT Prompts",
+        description=description,
+    )
+    demo.launch()
+
+    return
+
+
+if __name__ == '__main__':
+    main()

project_settings.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import os
+from pathlib import Path
+
+from toolbox.os.environment import EnvironmentManager
+
+
+project_path = os.path.abspath(os.path.dirname(__file__))
+project_path = Path(project_path)
+
+
+environment = EnvironmentManager(
+    path=os.path.join(project_path, 'dotenv'),
+    env=os.environ.get('environment', 'dev'),
+)
+
+
+if __name__ == '__main__':
+    pass

requirements.txt

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+gradio==3.20.1
+python-dotenv==1.0.0
+langchain==0.0.216
+openai==0.27.8

toolbox/json/__init__.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+
+
+if __name__ == '__main__':
+    pass

toolbox/json/misc.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+from typing import Callable
+
+
+def traverse(js, callback: Callable, *args, **kwargs):
+    if isinstance(js, list):
+        result = list()
+        for l in js:
+            l = traverse(l, callback, *args, **kwargs)
+            result.append(l)
+        return result
+    elif isinstance(js, tuple):
+        result = list()
+        for l in js:
+            l = traverse(l, callback, *args, **kwargs)
+            result.append(l)
+        return tuple(result)
+    elif isinstance(js, dict):
+        result = dict()
+        for k, v in js.items():
+            k = traverse(k, callback, *args, **kwargs)
+            v = traverse(v, callback, *args, **kwargs)
+            result[k] = v
+        return result
+    elif isinstance(js, int):
+        return callback(js, *args, **kwargs)
+    elif isinstance(js, str):
+        return callback(js, *args, **kwargs)
+    else:
+        return js
+
+
+def demo1():
+    d = {
+        "env": "ppe",
+        "mysql_connect": {
+            "host": "$mysql_connect_host",
+            "port": 3306,
+            "user": "callbot",
+            "password": "NxcloudAI2021!",
+            "database": "callbot_ppe",
+            "charset": "utf8"
+        },
+        "es_connect": {
+            "hosts": ["10.20.251.8"],
+            "http_auth": ["elastic", "ElasticAI2021!"],
+            "port": 9200
+        }
+    }
+
+    def callback(s):
+        if isinstance(s, str) and s.startswith('$'):
+            return s[1:]
+        return s
+
+    result = traverse(d, callback=callback)
+    print(result)
+    return
+
+
+if __name__ == '__main__':
+    demo1()

toolbox/os/__init__.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+
+
+if __name__ == '__main__':
+    pass

toolbox/os/environment.py

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+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+import json
+import os
+
+from dotenv import load_dotenv
+from dotenv.main import DotEnv
+
+from toolbox.json.misc import traverse
+
+
+class EnvironmentManager(object):
+    def __init__(self, path, env, override=False):
+        filename = os.path.join(path, '{}.env'.format(env))
+        self.filename = filename
+
+        load_dotenv(
+            dotenv_path=filename,
+            override=override
+        )
+
+        self._environ = dict()
+
+    def open_dotenv(self, filename: str = None):
+        filename = filename or self.filename
+        dotenv = DotEnv(
+            dotenv_path=filename,
+            stream=None,
+            verbose=False,
+            interpolate=False,
+            override=False,
+            encoding="utf-8",
+        )
+        result = dotenv.dict()
+        return result
+
+    def get(self, key, default=None, dtype=str):
+        result = os.environ.get(key)
+        if result is None:
+            if default is None:
+                result = None
+            else:
+                result = default
+        else:
+            result = dtype(result)
+        self._environ[key] = result
+        return result
+
+
+_DEFAULT_DTYPE_MAP = {
+    'int': int,
+    'float': float,
+    'str': str,
+    'json.loads': json.loads
+}
+
+
+class JsonConfig(object):
+    """
+    将 json 中, 形如 `$float:threshold` 的值, 处理为:
+    从环境变量中查到 threshold, 再将其转换为 float 类型.
+    """
+    def __init__(self, dtype_map: dict = None, environment: EnvironmentManager = None):
+        self.dtype_map = dtype_map or _DEFAULT_DTYPE_MAP
+        self.environment = environment or os.environ
+
+    def sanitize_by_filename(self, filename: str):
+        with open(filename, 'r', encoding='utf-8') as f:
+            js = json.load(f)
+
+        return self.sanitize_by_json(js)
+
+    def sanitize_by_json(self, js):
+        js = traverse(
+            js,
+            callback=self.sanitize,
+            environment=self.environment
+        )
+        return js
+
+    def sanitize(self, string, environment):
+        """支持 $ 符开始的, 环境变量配置"""
+        if isinstance(string, str) and string.startswith('$'):
+            dtype, key = string[1:].split(':')
+            dtype = self.dtype_map[dtype]
+
+            value = environment.get(key)
+            if value is None:
+                raise AssertionError('environment not exist. key: {}'.format(key))
+
+            value = dtype(value)
+            result = value
+        else:
+            result = string
+        return result
+
+
+def demo1():
+    import json
+
+    from project_settings import project_path
+
+    environment = EnvironmentManager(
+        path=os.path.join(project_path, 'server/callbot_server/dotenv'),
+        env='dev',
+    )
+    init_scenes = environment.get(key='init_scenes', dtype=json.loads)
+    print(init_scenes)
+    print(environment._environ)
+    return
+
+
+if __name__ == '__main__':
+    demo1()

toolbox/os/other.py

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+import os
+import inspect
+
+
+def pwd():
+    """你在哪个文件调用此函数, 它就会返回那个文件所在的 dir 目标"""
+    frame = inspect.stack()[1]
+    module = inspect.getmodule(frame[0])
+    return os.path.dirname(os.path.abspath(module.__file__))