🧠 Building a SheldonBot: A Big Bang Theory Chatbot with NLP & DialoGPT

This project demonstrates how to build a chatbot that emulates the personality of Sheldon Cooper from the TV show "The Big Bang Theory" using natural language processing (NLP) and the DialoGPT model.

How it Works

1. Data Acquisition: The project uses the "Big Bang Theory Dialogues" dataset from Kaggle, which contains transcripts of conversations from the show.
2. Data Preprocessing: The dataset is preprocessed to create a conversational context for the model by including a specified number of previous responses for each response row.
3. Model Selection: The project utilizes Microsoft's DialoGPT, a variant of GPT-2 trained on a massive dataset of Reddit conversations. DialoGPT is chosen for its ability to understand dialogue structure and maintain context across multiple turns.
4. Fine-tuning: DialoGPT is fine-tuned on the Big Bang Theory dataset to adapt it to the specific language and conversational style of the show's characters.
5. Chatbot Interaction: Users can interact with the trained chatbot, SheldonBot, by providing input text, and the chatbot will generate responses based on Sheldon's personality.

Getting Started

To run this project, you'll need:

• Google Colab: The project is designed to be run in a Google Colab or Kaggle environment.
• Libraries: Install the necessary libraries using pip install transformers kagglehub.
• Kaggle API Key: Download your Kaggle API key (kaggle.json) and upload it to the Colab environment.
• Dataset: Download the "Big Bang Theory Dialogues" dataset from Kaggle.

Usage

1. Follow the instructions in the notebook to set up the environment, load the dataset, and fine-tune the model.
2. Once the model is trained, you can interact with SheldonBot by running the provided code for chatting.

Sample Conversation

User: Hey, Sheldon, want to build a quantum computer together? SheldonBot: Only if I get to name it “Quanteen.”

User: That's actually pretty clever SheldonBot: Of course it is. I have an IQ of 187.

Conclusion

This project demonstrates how to create an engaging chatbot based on a specific character using NLP and the DialoGPT model. By fine-tuning the model on a relevant dataset, you can build chatbots that mimic the conversational style of your favorite characters or personalities.