Solving Business Problems with AI

Objective

Develop a proof-of-concept application to intelligently process email order requests and customer inquiries for a fashion store. The system should accurately categorize emails as either product inquiries or order requests and generate appropriate responses using the product catalog information and current stock status.

Task Description

Inputs

Google Spreadsheet Document containing:

• Products: List of products with fields including product ID, name, category, stock amount, detailed description, and season.

• Emails: Sequential list of emails with fields such as email ID, subject, and body.

Project Setup

Prerequisites

Ensure you have Python installed on your machine. This guide assumes you have Python 3.8 or higher. You can check your Python version by running:

python --version

Installation

1. Clone the repository Clone the project repository to your local machine using Git. Replace your-repository-link with the actual URL of your repository:

   git clone your-repository-link
   cd repository-folder

2. Install required libraries Install all required libraries listed in the requirements.txt file using pip:

   pip install -r requirements.txt

3. Run Jupyter Notebook Start the Jupyter Notebook server:

   jupyter notebook

   This command will open the Jupyter Notebook dashboard in your default web browser.

Running the Notebook

• Once Jupyter Notebook opens in your browser, navigate to the directory containing your .ipynb file.
• Click on the .ipynb file to open it.
• Run the cells sequentially by clicking on each and pressing Shift + Enter, or use the "Run" button in the toolbar.

Note

All operations are performed locally, and this guide utilizes Hugging Face models. Ensure that your requirements.txt includes the Hugging Face transformers library.

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Jupyter Notebook Guide

Here’s how to navigate and use the Jupyter Notebook for running the provided .ipynb file after following the README instructions:

1. Open the Notebook:

   • Launch Jupyter Notebook using the command jupyter notebook from your terminal.
   • Jupyter will open in your default web browser; typically it starts at http://localhost:8888/tree.
   • Navigate to the folder where your .ipynb file is located.

2. Running Notebook Cells:

   • Click on the .ipynb file to open it.
   • To run the cells, click on a cell to select it and then either:
     • Press Shift + Enter to run the cell and move to the next cell.
     • Press Ctrl + Enter to run the cell and remain on the same cell.
     • Use the "Run" button in the toolbar to execute the cell.

3. Save and Checkpoint:

   • To save your notebook, click on the "Save" icon in the toolbar or press Ctrl + S.
   • Jupyter automatically creates checkpoints, allowing you to revert to previous versions.

4. Shut Down:

   • When you are done, you can shut down the Jupyter server by closing the browser window and stopping the terminal process (usually with Ctrl + C).

By following these steps, you can effectively run and interact with your Jupyter Notebook locally using the Hugging Face models as specified in the setup guide.