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Rasa based conversational bot on the thematics of movie related content (with the help base of TMDB as source material)

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sousablde/MoviCHTR-with-Rasa

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MovieCHTR

MoviCHTR

A conversational bot on movie thematics

  • the bot finds:
    • movies a director is known for
    • movies and actor is known for
    • the release date of a movie if the movie title is provided
    • the overview/plot of a movie if a title is provided
    • searches for the rating of a movie based on movie title
    • Finds popular movies by year
    • engages in basic chit-chat

The project goal was to:

  • Understanding the Rasa framework
  • Installing the Rasa framework
  • Experience with manipulating language based data

Software used

Everything is programmed in python, to follow this project you need the following

  • Python <=3.6.8
  • Jupyter Notebook
  • Ngrok
  • Slack

The source tools used within Jupyter notebook are

  • rasa nlu
  • rasa core
  • rasa x

Additional support from:

  • text editor
  • web browser
  • terminal

File overview:

data/core/ - contains stories

data/nlu - contains example NLU training data

demo - contains custom action/api code

domain.yml - the domain file

config.yml - the Rasa config file

events. - files related to rasa x usage

Testing

  • Within jupyter notebooks comment out slack related code from within the loading assistant definition, engage with load_assistant()
  • outside of notebook launch rasa x for a webbrowser based testing and interactive learning
  • from slack: request server start and engage with @movichtr

More extended step by step information and visual tutorials provided within the notebook.

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Rasa based conversational bot on the thematics of movie related content (with the help base of TMDB as source material)

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