This repository contains the VentBot project built using Keras and Tensorflow. Deployed in Flask.

Capstone project. A friendly chatbot that helps humans identify their emotions.

• Fork the repository from the original repo
• then, from your own GitHub account, git clone your copied repository
• cd into the repository
• create a new virtual environment for the project
  • Using pip run python3 -m venv <project_name>
  • followed by source <project_name>/bin/activate to activate your virtual environment
• install the project dependencies with pip install -r requirements.txt.
• Now, you will need to install the wordnet corpora using the command python -m nltk.downloader all.

Want to chat with Ada right now on your local computer?

• Run python train_chatbot.py (File responsible for patters and bot responses)
• Then, python chatbot_function.py to train the customised dataset.
• Finally, run python app.py to execute the final running script and deploy the app locally Ada will be available at the localhost on your browser.

Start chatting!

Head over to the Contributing page and check out the detailes instructions.