Instantaneous Tracking of Earthquakes. This Week's Topic a Year Ago. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Estimate-Earth
quakes
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SOFTWARE
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Instantaneous Earthquake Tracking Using AI and Big Data Analytics
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Free Azure Machine Learning eBook: Master Cloud AI and Data Science
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Free eBook: Mastering #Azure Machine Learning. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Free-Azure-ML -
Streamlit AI Scraper App Demo with Setup Instructions
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 12 mai 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run ai_scrapper.py' pic.twitter.com/EAD4Iu9AmsWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run ai_scrapper.py'
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Web Scraping with SmartScraperGraph and Streamlit Button
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7. Scrape the website and display the result • Add a "Scrape" button using 'st.button()'
• When the button is clicked, run the SmartScraperGraph and display the result using 'st.write()' -
Initializing SmartScraperGraph with Prompt URL and Config
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6. Initialize the SmartScraperGraph • Create an instance of SmartScraperGraph with the user prompt, website URL, and graph configuration
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Building a Web Scraper with Streamlit URL and Prompt Inputs
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5. Get the website URL and user prompt • Use 'st.text_input()' to get the URL of the website to scrape
• Use 'st.text_input()' to get the user prompt specifying what to scrape from the website -
Configuring SmartScraperGraph with OpenAI API and Model Selection
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4. Configure the SmartScraperGraph • If the OpenAI API key is provided, create a 'graph_config' dictionary with the API key and selected model
• Allow the user to select the model using '
http://
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Building Streamlit App with OpenAI API Integration
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3. Set up the Streamlit App Streamlit lets you create user interface with just python code, for this app we will: • Add a title to the app using 'st.title()'
• Create a text input box for the user to enter their OpenAI API key using 'st.text_input()' -

Building AI Web Apps with Streamlit and ScrapegraphAI
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2. Import necessary libraries • Streamlit for building the web app
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ScrapeGraphAI: LLM-Powered Web Scraping Pipeline Library
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We'll use ScrapeGraphAI, a Python library that uses LLMs to create smart scraping pipelines. It involves four main steps:
1. Fetch: Retrieve the data
2. Parse: Analyze and structure the data
3. RAG: Processes the parsed data to find relevant information
4. Generate Answer