medi-chat

Chat Bot

This repository contains a demo chatbot implemented using PyTorch.

Installation

Create a Python Virtual Environment

To set up the required environment, you can create a Python virtual environment and install the necessary packages listed in the requirements.txt file. You can do this by running the following command:

pip install -r requirements.txt

Download NLTK Data

Before running the chatbot, you may need to download the NLTK data. NLTK (Natural Language Toolkit) is a leading platform for building Python programs to work with human language data. In this project, NLTK is used for tokenization. To download the NLTK punkt data, uncomment line 5 in the nltk_utils.py file and run the following command:

python nltk_utils.py

This will download and install the necessary NLTK punkt data.

Running the Chat Bot

Train the Model

Before using the chatbot, you need to train the model. The training data is stored in the symptoms.json file. To train the model, run the following command:

python train.py

If you encounter any errors during training, please ensure that you have set the correct path for the symptoms.json data. The path is specified in line 11 of the train.py file.

Run the Chat Bot

Once the model is trained, you can run the chatbot using the following command:

python app.py

Viewing the Chat Bot

• After running app.py, open localhost:8080 in your web browser to see the chat bot in action. *** This will start the chatbot application, allowing you to interact with it. This README provides clear instructions for installing and running the chatbot. It also includes a note about troubleshooting during the training process.

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