Skip to content

ajayraj/foodbot

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

foodbot

REQUIREMENTS: Python 3, NLTK, Flask, ngrok

To run the project, clone this repo.
In project directory, mkdir pickled_files.
Fire up Python3, run an instance of object from NaiveBayes.
Run the train() and store_pickle() methods of NaiveBayes.
OR, check and run train.py.

Make sure Dialogflow is set up correctly for use. Make an account and sign-in to Dialogflow, create a new agent.

Go to Agent Settings (cog wheel next to agent name) > Export and Import > select Restore from ZIP.

Upload the included dialogflow_intents.zip.

Run foodbot.py.

Set up an ngrok tunnel to localhost. Run the following command (worked for Hongchao, failed for Ajay): ngrok http 5000
If you have weird issues, run the following (fixed for Ajay): ngrok http 127.0.0.1:5000 -host-header="127.0.0.1:5000"

Copy the https fowarding URL.

Go to Dialogflow > Fulfillment. Under URL, paste the URL from ngrok AND append "/webhook".
Example: https://randomgenurl.ngrok.io/webhook

The application can now be tested in the Dialogflow Fulfillment Test Console to the left of the URL field, or for a nicer view go to Integrations, scroll down to Text Based, turn on the Web Demo, click on it and follow the URL.

About

Chatbot for basic cultural cuisine and recipe ideas based on ingredients provided

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages