geminiwrapper 0.1.0

Library for generating consistent Gemini API outputs and wrapping them with json and python objects

GeminiWrapper

GeminiWrapper is a library for generating consistent Gemini API outputs and wrapping them with json and python objects. It takes python dictionaries(for json format) or python objects as few-shot examples to output valid json or python objects.

Getting Started

Installation

pip install geminiwrapper

Basic Usage

1. Import:

import geminiwrapper

2. Obtain Gemini AI API key: Get Gemini AI API key

3. Create example objects:

• For json output, create a few python dictionaries. For example,

json1 = {
    "name": "England",
    "capital": "London",
    "population": "56.3 million",
    "neighbouring_countries": ["Scotland", "Wales"],
}
json2 = {
    "name": "Thailand",
    "capital": "Bangkok",
    "population": "70.4 million",
    "neighbouring_countries": ["Myanmar (Burma)", "Laos", "Cambodia", "Malaysia"],
}

• For python object output, create a class and a few objects. For example,

class Country:
    def __init__(self, name, capital, population, neighbouring_countries) -> None:
        self.name = name
        self.capital = capital
        self.population = population
        self.neighbouring_countries = neighbouring_countries
country1 = Country("England", "London", "56.3 million", ["Scotland", "Wales"])
country2 = Country(
    "Thailand",
    "Bangkok",
    "70.4 million",
    ["Myanmar (Burma)", "Laos", "Cambodia", "Malaysia"],
)

4. Instantiate the wrapper:

• For json output,

json_model = JsonWrapper(api_key, [json1, json2])

api_key is the Gemini API key obtained from this link

• For python object output,

object_model = ObjectWrapper(api_key, __name__, [country1, country2])

api_key is the Gemini API key obtained from this link __name__ is to pass the name of the module.

5. Generate Content:

• For json output,

prompt = "Write about Myanmar, Singapore, United States and Germany"
response = json_model.generate_content(prompt)

response is a list of dictionaries that can be processed as follow.

for country in response:
    print(f"The name of the country: {country['name']}")
    print(f"The capital of the country: {country['capital']}")
    print(f"The population of the country: {country['population']}")
    print(f"The neighbouring countries: {country['neighbouring_countries']}")

• For python object output,

prompt = "Write about Myanmar, Singapore, United States and Germany"
response: List[Country] = object_model.generate_content(prompt)

response is a list of Country objects that can be processed as follow.

for country in response:
    print(f"The name of the country: {country.name}")
    print(f"The capital of the country: {country.capital}")
    print(f"The population of the country: {country.population}")
    print(f"The neighbouring countries: {country.neighbouring_countries}")