Getting Started

Prerequisites

Ensure you have Python installed. It is recommended to use miniconda or conda for environment management.

Installation

1. Install Miniconda (if not already installed)

   Download and install Miniconda from the official website:

2. Create a Conda Environment

   Open your terminal or Anaconda Prompt and create a new environment:

   conda create -n chatbot-env python=3.9
   conda activate chatbot-env

3. Install Requirements

   Navigate to the project directory and install the necessary packages:

   cd /path/to/your/chatbot-streamlit-demo
   pip install -r requirements.txt

4. Run the Streamlit Application

   streamlit run streamlit_app.py
   
   The application will open in your web browser.
   

Running with Docker

1. Build the Docker Image

   Navigate to the project directory and build the Docker image:

   docker build -t chatbot-streamlit-demo .

2. Run the Docker Container

   Run the Docker container, mapping port 8501:

   docker run -p 8501:8501 chatbot-streamlit-demo

   The application will be accessible in your web browser at http://localhost:8501.

Code Structure

• streamlit_app.py: The main Streamlit application file, containing the chatbot UI and logic.
• database_tools.py: Contains functions for interacting with the sales_data.db database.
• requirements.txt: Lists all Python dependencies required for the project.
• streamlit_react_app.py: (Optional) Another Streamlit application, possibly demonstrating React integration.
• streamlit_react_tools_app.py: (Optional) Another Streamlit application, possibly demonstrating React tools integration.