https://github.com/hsm207/docker-rasa-dev

Dockerfile to set up dev environment for Rasa development
https://github.com/hsm207/docker-rasa-dev

chatbot container conversational-ai docker dockerfile rasa

Last synced: 10 days ago
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Dockerfile to set up dev environment for Rasa development

• Host: GitHub
• URL: https://github.com/hsm207/docker-rasa-dev
• Owner: hsm207
• License: apache-2.0
• Created: 2019-08-03T12:19:00.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-03T12:19:07.000Z (over 5 years ago)
• Last Synced: 2025-01-01T15:53:06.557Z (23 days ago)
• Topics: chatbot, container, conversational-ai, docker, dockerfile, rasa
• Language: Dockerfile
• Size: 6.84 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Introduction

This repository contains a Dockerfile that creates an environment containing all the 

dependencies to develop [Rasa](https://github.com/RasaHQ/rasa/). The detais of the 

dependencies are described in the repo's [README](https://github.com/RasaHQ/rasa/#development-internals).

# Usage

1. Navigate to this project's root directory.

2. Build the image:

    ```bash

    docker build -t rasa-dev .

    ```

3. Run the container:

    

   ```bash

    docker run -p 23:22 -p 8000:8000 -v /PATH/TO/RASA:/app --name rasa-dev rasa-dev:latest  

   ```

   where `/PATH/TO/RASA` is the path to the root of your local Rasa repo.

4. Set up a remote interpreter via SSH

 

   You may use your IDE to set up a remote interpreter via SSHing into the container using port 23

   using username `root` and password `abc123`.

   

   The python interpreter is located at `/usr/local/bin/python`.

   

# Feedback

Feel free to raise an issue if you have any questions, feedback, etc.