معرفی شرکت ها
davinci-functions-0.1.4
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Library to ask OpenAI GPT for generating objects on the Python runtime.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | davinci-functions-0.1.4 |
| نام | davinci-functions |
| نسخه کتابخانه | 0.1.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | - |
| ایمیل نویسنده | Yusuke Oda <odashi@inspiredco.ai> |
| آدرس صفحه اصلی | - |
| آدرس اینترنتی | https://pypi.org/project/davinci-functions/ |
| مجوز | MIT License |
# davinci-functions
Library to ask OpenAI GPT for generating objects on the Python runtime.
This library is prepared to record prompts that would be useful for Python programs.
If you developed something, let's make a pull request!
## Getting started
Set your OpenAI Organization ID and API key before using this library.
Then invoke the functions in the library.
```python
import openai
import davinci_functions
openai.organization = "YOUR_ORG_ID"
openai.api_key = "YOUR_API_KEY"
prompt = """\
Output the list of 10 random city names in the United States.
"""
for val in davinci_functions.list(prompt):
print(val)
```
This script will print something like:
```
New York
Los Angeles
Chicago
Houston
Phoenix
Philadelphia
San Antonio
San Diego
Dallas
San Jose
```
## Functions
### `davinci_functions.list`
Returns the list of something.
```python
>>> davinci_functions.list("say hello.")
['Hello']
>>> davinci_functions.list("say hello world.")
['Hello', 'world']
>>> davinci_functions.list("Output first 5 prime numbers.")
[2, 3, 5, 7, 11]
>>> davinci_functions.list("5 random countries")
['Japan', 'Australia', 'Brazil', 'India', 'China']
```
Solving some tasks (e.g., named entity recognition):
```python
>>> prompt="""
... Extract all named entities in the following paragraph:
...
... Google is founded by Larry Page and Sergey Brin in 1998.
... The headquarter is located in Mountain View, Carifornia, United States.
... """
>>> davinci_functions.list(prompt)
['Google', 'Larry Page', 'Sergey Brin', 'Mountain View', 'Carifornia', 'United States']
```
Other language (Japanese):
```python
>>> davinci_functions.list("日本語の単語を5個")
['日本語', '単語', '文字', '言葉', '意味']
>>> davinci_functions.list("1から10までの数字のリスト。ただし3で割り切れるときはFizzにしてください。")
[1, 2, 'Fizz', 4, 5, 'Fizz', 7, 8, 'Fizz', 10]
>>> davinci_functions.list("「明日は明日の風が吹く」の形態素の一覧")
['明日', 'は', '明日', 'の', '風', 'が', '吹く']
```
### `davinci_functions.judge`
Returns the truth of something.
```python
>>> davinci_functions.judge("The sum of 2 and 3 is 5.")
True
>>> davinci_functions.judge("The sum of 2 and 3 is 6.")
False
>>> davinci_functions.judge("San Francisco is the capital of the United States.")
False
>>> davinci_functions.judge("New York is the capital of the United States.")
True # Wrong answer! This kind of mistakes happens very often: please take care.
>>> davinci_functions.judge("Washington D.C. is the capital of the United States. How about New York?")
False
```
### `davinci_functions.function`
Synthesizes a Python function described in the prompt.
**This function is not secure. Do not use this function in real products.**
```python
>>> f = davinci_functions.function("Multiply the argument x by 2.")
>>> f(3)
6
>>> f = davinci_functions.function("Arithmetic mean of all elements in the list x.")
>>> f([1, 2, 3])
2.0
>>> f = davinci_functions.function("""\
... Given a list of unique integers x, return two positions so that the sum of the
... numbers on that positions is equal to the argument y.
... The function must be efficient as well as possible.
... """)
>>> f([1, 4, 9, 16, 25], 25)
(3, 2)
```
### `davinci_functions.explain`
Describes the behavior of given functions.
```python
>>> def f(x):
... return x * 3
...
>>> davinci_functions.explain(f)
'This function takes a variable x and multiplies it by 3, then returns the result.'
>>> def f(a, b, c):
... return (-b + math.sqrt(b**2 - 4.0 * a * c)) / (2.0 * a)
...
>>> davinci_functions.explain(f)
'This function implements the Quadratic Formula to calculate the solution of a ...
quadratic equation. The equation is of the form ax^2 + bx + c = 0. The function ...
takes three parameters a, b, and c, which are the coefficients of the equation. It ...
then calculates the solution using the formula (-b + sqrt(b^2 - 4ac)) / (2a) and ...
returns the result.'
```
## Caveats
Right now, this library doesn't consider prompt injection and validity of the returned
expression by GPT. Please don't use this library in the real products that needs to
take care about consistency and security.
نیازمندی
| مقدار | نام |
|---|---|
| - | dill>=0.3.6 |
| - | openai>=0.27.0 |
| xtr | black>=22.10; |
| xtr | flake8>=5.0; |
| xtr | isort>=5.10; |
| xtr | mypy>=0.991; |
| xtr | pyproject-flake8>=5.0; |
| xtr | pytest-mock>=3.10.0; |
| xtr | pytest>=7.1; |
| xtr | mypy>=0.991; |
| xtr | pytest-mock>=3.10.0; |
| xtr | pytest>=7.1; |
زبان مورد نیاز
| مقدار | نام |
|---|---|
| <3.12,>=3.8 | Python |
نحوه نصب
نصب پکیج whl davinci-functions-0.1.4:
pip install davinci-functions-0.1.4.whl
نصب پکیج tar.gz davinci-functions-0.1.4:
pip install davinci-functions-0.1.4.tar.gz