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College Inquiry Chatbot made with Rasa framework as part of the Final Year Project.
chatbot-1's Introduction
Libraries needed to run this chatbot:
- rasa 2.2.9 (run
pip install rasa==2.2.9 in command prompt)
- rasa-x 0.38.1 (run
pip3 install --use-deprecated=legacy-resolver rasa-x --extra-index-url https://pypi.rasa.com/simple in command prompt)
How to run this chatbot in command prompt?
- First, run
rasa train command to train the bot using the dataset provided in the repository.
- Then, use
rasa shell to interact with chatbot in command prompt.
- Use
rasa shell nlu to inspect the intent classified by the bot.
How to run this chatbot with rasa-x?
- Run
rasa run actions in one terminal. Do not close this tab.
- Now, run
rasa x in another terminal. This will open a tab in the browser.
- Run
rasa test nlu --cross-validation to test the chatbot which uses nlu data to test.
- Run
rasa test to test the chatbot with the test stories already provided in the tests/test_stories.yml file.
- After testing, you can find the results in the
results directory.
How to enable voice feature of the chatbot?
- Copy the
voice_bot_gtts.py inside the actions folder.
- The instructions to activate this feature are already written inside this python file.
- Note: This feature currently only works through command line and also requires active internet connection for the
gTTS library.
chatbot-1's People
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent