How to use Gemini API in Python

First, this article is written by a Japanese man who is studying English now, so I think it may use incorrect English grammar and phrases. I would appreciate your kind understanding.

This article summarize that how to use Google Gemini API.
Let’s get down to the main topic.

Use Gemini API

The steps required to use Gemini API are as follows.

Work Steps

Get API Key
Installing the required libraries
Coding and Excute the code

Step1. Get API Key

Obtain an API key by referring to the official Google Cloud page.

https://cloud.google.com/docs/authentication/api-keys

Step2. Installing the required libraries

Build an environment to use Gemini API. I used Flask to use Gemini API.

Summarize how to use Flask as a reminderFirst, this article is written by a Japanese man who is studying Eng...

But you don’t need to use Flask. Create a virtual environment using venv and then you create main.py and .env and then install google-generativeai.

Create a virtual environment.

python -m venv env
source env/Scripts/activate

Create main.py and .env.

touch main.py
touch .env

Install google-generativeai and python-dotenv. Installing python-dotenv is optional.

pip install google-generativeai python-dotenv

Coding and Excute the code

Write main.py following code.

import os
from dotenv import load_dotenv
import google.generativeai as genai

# Loading .env file
load_dotenv()

# Setting API Key
GOOGLE_API_KEY=os.getenv('GOOGLE_API_KEY')
genai.configure(api_key=GOOGLE_API_KEY)

gemini_pro = genai.GenerativeModel("gemini-pro")
prompt = "Hello World!"
res = gemini_pro.generate_content(prompt)
print(res.text)

Write the API key in .env.

.env

GOOGLE_API_KEY=[your API Key]

Then run the below command.

python main.py