https://github.com/murtaza98/sales-bot-in-rasa

https://github.com/murtaza98/sales-bot-in-rasa

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/murtaza98/sales-bot-in-rasa
• Owner: murtaza98
• Created: 2020-07-12T09:03:11.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T11:08:52.000Z (almost 2 years ago)
• Last Synced: 2024-10-03T08:59:33.891Z (about 2 months ago)
• Language: Python
• Size: 107 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 17
• Metadata Files:
  • Readme: README.md

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README

        
# Sales Bot in Rasa

## Requirements

- Python 3.6 or Python 3.7 [Install Python 3.7 on Ubuntu 18.04](https://linuxize.com/post/how-to-install-python-3-7-on-ubuntu-18-04/)

- Docker

- [Tensorflow Hardware requirements](https://www.tensorflow.org/install/pip#hardware-requirements) 

   > Note if your hardware doesn't support `AVX` instructions then u will have to build tensorflow from source as described [here](https://www.tensorflow.org/install/source)

## Installation

1. Install Python. **Please make sure to install Python 3.6 or Python 3.7. Rasa won't work with any other python version** 


    **Windows** 


    You can install it from [here](https://www.python.org/downloads/windows/)


    

    **macOS**

    ```bash

    $ brew update

    $ brew install python3.7

    ```

 

    **Linux** 

    - Follow [this](https://linuxize.com/post/how-to-install-python-3-7-on-ubuntu-18-04/) blog

2. Install, create and activate a Virtual Environment

    1. Install virtual Environment


        `python -m pip install --user virtualenv`

    2. Create a virtual environment 

    

        **Linux / macOS**

        ```bash

        $ python3 -m venv ./venv

        ```

     

        **Windows** 

        ```bash

        C:\> python3 -m venv ./venv

        ```

    3. Activate the virtual environment:

    

        **Linux / macOS**

        ```bash

        $ source ./venv/bin/activate

        ```

     

        **Windows** 

        ```bash

        C:\> .\venv\Scripts\activate

        ```

3. Install the required packages from requirements.txt inside this virtual environment:


    `pip install -r requirements.txt`

4. Install spacy. Ref: [here](https://rasa.com/docs/rasa/user-guide/installation/#dependencies-for-spacy)

    ```bash

    $ pip install rasa[spacy]

    $ python -m spacy download en_core_web_md

    $ python -m spacy link en_core_web_md en

    ```

5. Train the model

    ```bash

    $ rasa train

    ```

    

## Usage Instructions:

1. Activate the environment:

    - **Linux / macOS:** `source venv/bin/activate`

    - **Windows:** `.\venv\Scripts\activate.bat`

2. Open a new terminal and run actions

    - `rasa run actions`

3. Open a new terminal and run duckling which is used for entity extraction

    ```

    docker run -p 8000:8000 rasa/duckling

    ```

3. Lastly, open a new terminal to run rasa 


    `rasa run`