FTCB is a chatbot trained on structured data in intents.json
. Although it does not read or interpret general file content directly, it leverages training data to respond accurately. Using nltk
for natural language processing, numpy
for numerical operations, and pytorch
for model training, FTCB is built for efficient and targeted interactions.
To install FTCB, you’ll need the following libraries:
torch
nltk
numpy
Install these packages with the following commands:
pip3 install torch
pip3 install nltk
pip3 install numpy
After installation, configure the following files:
intents.json
: This file holds the training data that FTCB uses for learning.profile.json
: Contains configuration settings for the chatbot’s profile.
In the /build directory, run the training script:
> python3 train.py
Monitor the training process to ensure the loss is below 0.01. If it isn’t, rerun the training to improve accuracy.
To start the chatbot, execute the following command in the /ui directory:
> python3 chat.py
FTCB is now ready to respond based on the training data provided in intents.json.