Content Generation From Weblinks
Input:
Go through the content of this link: https://www.automatebard. Give me a list of 5 blog post headlines that fit with the theme of the website.
Bard:
Sure, here are 5 blog post headlines that fit with the theme of the website Automate Bard:
1. **How to Use Automate Bard to Automate Your Tasks**
2. **The Best No-Code/Low-Code Platforms for Automating Your Workflow**
3. **The Top Productivity Tools to Help You Get More Done**
4. **The Future of Automation: How LLMs Are Changing the Way We Work**
5. **How to Automate Your Life and Free Up Your Time**
I hope these headlines help you get started with automating your tasks!
News Article Sentiment Analysis
Input:
Review the content from this link: https://www.cnbc.com/2023/05/10/carl-icahns-company-stock-tumbles-after-prosecutors-seek-financial-information.html. Provide sentiment analysis on how this article affects the company. Answer with NEG for a negative sentiment, POS for a positive sentiment or UNK if the sentiment is unknown. Provide a percent confidence for the sentiment chosen.
Bard:
The article you linked has a negative sentiment towards Carl Icahn's company, Icahn Enterprises. The article states that federal investigators are seeking information regarding the company's corporate governance, which could lead to legal action. This news has caused the company's stock price to tumble, which is a sign that investors are concerned about the company's future.
I would say that the sentiment of the article is NEG with a confidence level of 95%.Generating Python Code
Input:
write python code for using the selenium library to extract text from a webpage
Bard:
import selenium
# Import the webdriver from selenium module
from selenium import webdriver
# Set the webdriver path
webdriver_path = "/path/to/webdriver"
# Create a webdriver instance
driver = webdriver.Chrome(webdriver_path)
# Navigate to the webpage
driver.get("https://www.google.com")
# Find the element that contains the text you want to extract
element = driver.find_element_by_id("q")
# Get the text from the element
text = element.text
# Print the text
print(text)
# Close the webdriver
driver.close()These are just a few of the prompts I’ve found useful so far. Be sure to check back more prompts as they are added!