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.
What is Google Bard
A Google Bard is an open-source data visualization and exploration tool which empowers developers and other data scientists. To process the queries asked by the user it uses machine learning algorithms. It is trained on an immense amount of data sets of text and code. It is still in the experimental phase and no doubt it gives direct competition to ChatGPT. It can perform various tasks as follows:
- Translate languages
- Write creative content
- Answer your queries
Advantages of Google Bard
- It is easy to use we can ask anything by writing any query as we type a message or we can also ask just by saying by clicking on the mic.
- It personalizes the result of user queries according to the previous history of queries asked by the user.
- It can make finding the information we need as we do not follow the procedure of using Google search.
- It provides answers to user queries very quickly, usually within a second.
Limitations of Google Bard
- As it is still in an experimental phase or Beta Phase it provides less accurate information such as writing codes but generally, Google Bard provides accurate information.
- It is available in multiple languages but it may be able to provide answers in some specific languages only.
- It is developed to answer specific types of queries and may not be able to answer some complex queries.
How to use Google Bard with Python
If we want to use these types of AI chatbots with Python then we have APIs provided by them to use their features in our programs or applications. The procedure is similar to using ChatGPT API with Python same as ChatGPT API Google Bard API is also available to users to use the functionality of Google Bard in their program. Currently, Google Bard API is in the beta phase so it is available to only a limited number of users.
Steps to use Google Bard API with Python
Before diving into the world of Google Bard, you need to ensure that Python is already installed in your system. Download the latest version of Python from the official Python website and follow the installation process. Here you will learn two methods to use Google Bard with Python.
Installing the Google Bard Library
To start using Google Bard, You need to install the library. Installation is simple with Python’s package manager, “pip“. Open the terminal and command prompt and execute the given command. Additionally, ensure “google_bard” libraries are installed.
pip install GoogleBard
Obtaining the Google API Key
Go to the Google Cloud Platform: https://console.cloud.google.com/apis/credentials
Create or Select a Project.
Create 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.
API Created
Making API Requests
Now, let’s use the “google_bard “module to interact with the Google Bard API:
Python3
import google_bard# Replace "YOUR_API_KEY" with the actual API Key obtained earlierAPI_KEY = "YOUR_API_KEY"def main(): query = "What is the meaning of life?" response = google_bard.generate_text(query, api_key=API_KEY) print("Google Bard Response (Using google_bard Module):") print(response)if __name__ == "__main__": main() |
Output:
Google Bard Response (Using google_bard Module):
The meaning of life is a subjective and personal question with no definitive answer. It is up to each individual to explore and
discover their own purpose and what brings them a sense of fulfillment and meaning.
Explanation
Firstly Import google_bard: This line imports the google_bard module, which provides the necessary functions to interact with the Google Bard API. API_KEY = “YOUR_API_KEY”: Replace “YOUR_API_KEY” with the actual API Key. def main():: This line defines a function named main(). query = “What is the meaning of life?”: We define a query to send to the Google Bard API. response = google_bard.generate_text(query, api_key=API_KEY): This line makes an API request to the Google Bard API using the generate_text() function provided by the google_bard module.
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" |
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 = "GeeksforLazyroar" response = get_bard_response(query) print("Google Bard Response:") print(response)if __name__ == "__main__": main() |
Output:
Google Bard Response:
GeeksforLazyroar 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.
