This app allows users to interact with a Slack bot, ask a question about the data in a table or request the table schema, and then uses the latest ChatGPT to generate a query that is executed on BigQuery to return the results. The app includes a retry mechanism for query generation in case of an error (up to two retries) and provides the LLM with the table info to generate more accurate queries. The table schema is only printed if it is successfully retrieved. All errors from retries are now passed to the LLM. The generated query is printed before the results, and the results are displayed in a pretty table format. The bot uses the Slack API to send and receive messages and parses the user's message to determine the action to take. The bot always responds in a thread to the original message.
The bot requires certain permissions to function properly. These include the ability to read message history, send messages, and react to messages. The bot will generate stats such as This bot will provide ticker stats, commodity stats, Stock News and other AI Stock Trading Advice Please provide the Discord bot token in the Env Secrets tab under the name 'DISCORD_BOT_TOKEN' and your API Key for the Alpha Advantage
A customizable Streamlit dashboard template for evaluating machine learning models with interactive elements and real-time visualizations. This comprehensive dashboard allows you to upload your dataset and evaluate it using various pre-trained machine learning models. You can select from models like Random Forest, SVM, and Logistic Regression. Adjust model parameters using interactive sliders and buttons. The dashboard provides real-time visualizations, including dynamic charts and confusion matrices, to help you interpret the results effectively. Ideal for data scientists and ML enthusiasts looking to quickly assess model performance.
This application employs Flask for the backend and JavaScript for the frontend. It enables users to generate custom prompts by providing details and selecting a prompt type. The backend receives the user input, constructs a prompt, and sends it to a language model (LLM) for further processing. The generated prompt is then returned to the frontend and displayed for the user. The interface allows users to copy the generated prompt for their use. Additionally, error handling ensures smooth operation even in case of failures during prompt generation. Made by BaranDev[https://github.com/BaranDev]
The application is a Discord bot that integrates with Twitter. It allows users to post tweets directly from Discord using the command `!tweet`. The bot uses environment variables for sensitive data such as the Discord bot token and Twitter API credentials, ensuring security best practices. The required tokens are: DISCORD_BOT_TOKEN, TWITTER_API_KEY, TWITTER_API_SECRET, TWITTER_ACCESS_TOKEN, and TWITTER_ACCESS_TOKEN_SECRET.
The Phone Number Lookup with Twilio API app allows users to input a phone number using a command line prompt. The app validates phone numbers in international format and uses the Twilio API to fetch information such as carrier and country. If a phone number is not found, the app outputs that the number does not exist. The app has been updated to use the latest Twilio API endpoints and handle any errors that may occur.
This app, named "Slack Mention Jira Query Generator", is designed to assist you in generating Jira Query Language (JQL) queries directly from Slack. When you mention the app in a Slack message, it will generate a JQL based on your message and ask if you want to run the query. If you agree, it will execute the query on Jira and return the results in the same Slack thread. The app is designed to handle multiple users at the same time and ensures that the correct JQL is associated with the user who requested it. It also formats the JQL results to share the links of the issues instead of the actual issue object, making it easier for you to navigate to the issues directly from Slack. To use this app, you will need to provide the following environment variables: - SLACK_BOT_TOKEN: You can get this by creating a new app in your Slack workspace, adding the bot scope, and installing the app in the workspace. - SLACK_APP_TOKEN: This can be generated by enabling Socket Mode for the app in the Slack API settings and generating an App-Level token. - JIRA_API_TOKEN and JIRA_EMAIL: These can be generated from your Jira account settings. - JIRA_SERVER_URL: This is the URL of your Jira server.
Lazy apps can be helpful in the AI category by automating tasks and simplifying processes for users. These apps use artificial intelligence algorithms to understand user preferences and behavior, and then proactively suggest and perform tasks on behalf of the user. This can include tasks such as organizing emails, scheduling appointments, managing to-do lists, and even making recommendations based on user preferences.
Lazy apps can save users time and effort by taking care of mundane and repetitive tasks, allowing them to focus on more important and meaningful activities. Additionally, these apps can learn from user interactions and improve their suggestions and performance over time, providing a personalized and efficient experience.
In summary, lazy apps in the AI category can enhance productivity, streamline workflows, and provide a more convenient and personalized user experience.