Google Bard sing requests/JSON library
Obtain the Google API Key
API Key is needed to get a Google Brad API. Refer to Method 1, Step 2, to obtain your API Key. To obtain your API Key you need to follow these steps:
- Go to the Google Cloud Platform: https://console.cloud.google.com/apis/credentials
- Create or Select a Project.
- Under “API & Services”, click on “Credentials.”
- Now Your API Key is Generated. Keep it safe as it will provide access to Google Bard API.
Import Required Libraries
Let’s start by importing the necessary libraries and setting up the API Key:
Python3
import requestsimport json# Replace "YOUR_API_KEY" with the actual API Key obtained in Step 1API_KEY = "YOUR_API_KEY"URL = "https://bard.googleapis.com/v1/generate" |
Making API Requests
In this step, we will create a function to interact with the Google Bard API and get responses:
Python3
def get_bard_response(query): response = requests.post(URL, headers= {"Authorization": "Bearer " + API_KEY}, json={"query": query}) data = json.loads(response.content) return data["text"] |
Getting Insights from Google Bard
You can easily get insights from your data just by sending queries to the API with the help of both Google Bard and Python. For example, if you want to know “What is the meaning of life?”, you can make an API request as follows:
Python3
def main(): query = "w3wiki" response = get_bard_response(query) print("Google Bard Response:") print(response)if __name__ == "__main__": main() |
Output:
Google Bard Response:
w3wiki is a leading platform that provides computer science resources and coding
challenges for programmers and technology enthusiasts, along with interview and exam preparations for
upcoming aspirants. It was founded in 2008 by Sandeep Jain and has since grown to become one of the most
trusted and renowned names in the programming community.
Explanation
Firstly, we import the required modules. The requests library is used to make HTTP requests and the JSON library is used to parse JSON data. Then we stored the Google Bard API key in the ‘API_KEY’ variable, the URL to the Google Bard API in ‘URL’, the query sent to the Google Bard in ‘QUERY’, and ‘response’ stores the response received from Google Bard. We send the post request using request.post() function and then stores the JSON data from the response in ‘data’. After that, we print the response from Google Bard.
GoogleBrad Output:
We can also check the output from GoogleBard It will be the same as our Python code output.
GoogleBard Output
Conclusion
By using the following steps to obtain the API Key, importing the required libraries, and making API requests, you can easily seamlessly integrate Google Bard into your Python projects. It will enhance your experience and interaction with your applications. It enables you to provide engaged and human-like text.
How to Use Google Bard with Python
If you are a data enthusiast or aspiring data scientist and you are searching for amazing methods to showcase your findings, look no further than Google Bard. Google Bard is an AI chatbot developed by Google AI. It is a large language model chatbot based on the LaMDA family of LLMs. It helps to develop interactive charts and dashboards effortlessly. It combines Python, a powerful and versatile programming language, and the capabilities of Google Bard to reach new heights. In this article, you will explore Google Bard with Python and assist you to master the art of data visualization, and the steps to use Google Bard with Python.