Deploying Rasa Bot over Google Cloud Platform using Docker.
- RASA
- Anaconda Prompt
- Visual Studio Code
If python is installed in your system, then pip comes in handy. So simple steps are:
- Install virtualenv using
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pip install virtualenv
- Now in which ever directory you are, this line below will create a virtualenv there
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virtualenv myenv
And here also you can name it anything instead of myenv.
- Now if you are same directory then type,
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myenv\Scripts\activate
- Upgrade pip (Please use this command in administrator mode)
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pip install --upgrade pip
- Install RASA
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pip install rasa==2.5.0
NOTE : Please check Python version should be 3.7 or greater and pip should be installed previously
If the rasa installation gives error, try this solution
We first need to install MySQL Workbench community edition for windows
We can download MySQL Workbench from here
MySQL Workbench requires Microsoft Visual C++ Redistributable packages. If its not previously installed, install it using following link
NOTE : Please select root as username and 12345 as password while installing MySQL Workbench.
To download MySQL Python run the following command :
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pip install mysql-connector-python
Install PyMySQL
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pip install PyMySQL
Install Pandas
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pip install pandas
Install SQLAlchemy
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pip install SQLAlchemy
To download the RASA files from github run the following command
Move inside directory
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cd Chaitanya
Run the following command in an Anaconda prompt
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python create_database.py
Note : Please run this file only once.
Open a new Anaconda Prompt
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rasa train
Open one Ananconda prompt and move into Chaitanya folder
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rasa run -m models --enable-api --cors “*” --debug
Open another Ananconda prompt and move into Chaitanya folder
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rasa run actions
Click on index.html in the folder to open in browser and start chatting