SmartAI_CustomerSupport

SmartAI_CustomerSupport is an AI-driven customer support assistant built using GPT-2. The project demonstrates how to fine-tune a pre-trained language model on custom customer support data and integrate it into a simple interactive environment.

Features

• Fine-tunes GPT-2 on customer support data.
• Generates contextually relevant responses to customer queries.
• Interactive Jupyter Notebook for experimentation and testing.

Installation

1. Clone the repository:

   git clone https://github.com/Islam-hady9/SmartAI_CustomerSupport.git
   cd SmartAI_CustomerSupport

2. Create and activate a conda environment:

   conda create --name smartai_customersupport python=3.8
   conda activate smartai_customersupport

3. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Open the Project:

   • Start by opening the SmartAI_CustomerSupport.ipynb Jupyter Notebook in your preferred environment (e.g., Jupyter Lab or Jupyter Notebook).

2. Run the Notebook Cells:

   • Follow the sequential execution of the cells in the notebook. This will:
     • Load the pre-trained GPT-2 model and tokenizer.
     • Tokenize sample queries.
     • Fine-tune the model if necessary.
     • Generate and display responses to the input queries.

3. Interact with the Model:

   • Modify the input queries within the notebook to test the model with different customer support questions.
   • Observe and analyze the generated responses for evaluation.

4. Experiment and Modify:

   • Use the notebook to experiment with different hyperparameters, input data, or model configurations to better suit your needs.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License - see the LICENSE file for details.