Dataherald Community App 🛠️

Welcome to the Dataherald Community App! This Streamlit-based web application allows users to interact with the Dataherald engine through a user-friendly interface, making it easier to work with your structured data. 🔥🔥🔥

Table of Contents 📚

• Features 🚀
• Prerequisites ⚙️
• Installation 🚀
• Usage 📈
• How it works? 🧐
• Contributions 🤝

Features 🚀

• Ask your Questions: 💡 Connect to various databases by providing their connection details and ask any questions that have on top of your mind from Dataherald's powerful NL-to-SQL engine.

• Add Golden records: 💎 In order to boost the performance of the engine even higher, add verified Question/SQL pairs. These pairs are going to be used by the agent at inference time.

• View and Remove Golden records: 📜 This application provides a user-friendly interface for viewing, searching, and removing Question/SQL pairs to control the agent's behavior.

• Table Scanning: 🗃️ Scan tables in connected databases by specifying the table name. Scanned tables are used by the agent to generate answers.

• Viewing Tables: 📊 View descriptions and details of tables within connected databases. Understand the structure and number of columns of each table easily.

Prerequisites ⚙️

Before running Dataherald, ensure that you have the following prerequisites:

• Dataherald engine: 💻 Make sure you have Dataherald engine running since this application calls the endpoints provided by the Dataherald engine.

• Python 3.x: 🐍 Make sure you have Python 3.x installed on your system. You can download it from the official Python website.

Installation 🚀

To get started with Dataherald, follow these steps:

1. Clone the repository to your local machine:

   git clone https://github.com/Dataherald/streamlit-app.git
   cd streamlit-app
   

2. Create a virtual environment (optional but recommended):

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`

3. Install required packages: 📦 This app relies on several Python packages. Install them by running the following command within the project directory:

   pip install -r requirements.txt

Usage 📈

To use Dataherald Community App and interact with databases, follow these steps:

Change the following code parts based on your current implementation of Dataherald engine:

DEFAULT_DATABASE = "RealEstate" # change this to your default database
HOST = st.sidebar.text_input("Engine URI", value="https://streamlit.dataherald.ai") #change the value to your localhost or server URI where your engine is deployed

Start the Dataherald Community App application:

streamlit run 🏠_Home.py

How it Works 🧐

If you want to know how the app works, you can take a look at the following figure:

Contributions 🤝

We are extremely open to contributions, be it through new features, new pages, or improved documentation.

We are currently developing this repository, you can take a look at the roadmap we have for this app, and we will appreciate your contribution for the future works that we have. You can find the roadmap here.