A simple telegram chatbot working on AIML and deployed @IcHiGo_bot
Chatbots are intelligent digital assistants which may address customer’s basic and predictable queries. They offer numerous services via chatting and perform basic customer service operations. Chatbots work 24/7 and hence they provide assistance when offices are closed on holidays. There are a variety of synonyms for chatbot, including “talkbot,” “bot,” “IM bot,” “interactive agent” or “artificial conversation entity”.
AIML stands for computing language. it’s an XML dialect for creating tongue software agents.
AIML contains a collection of rules which define the conversational capabilities of the chatbot. it’s used with a linguistic communication Understanding (NLU) processor which takes AIML rules to investigate and reply to the text queries asked via the chatbot. The more rules we add in AIML – the more intelligent the chatbot is.
- AIML based chatbots come under the rule-based chatbots category, however, some level of self-learning feature is feasible.
- AIML is that the language to make a brain for chatbots.
- NLU in chatbots process AIML and their chat behavior is controlled through AIML rules.
- One chatbot application can have multiple sets of AIML and might behave differently.
- The below flow diagram shows how AIML based chatbot can work with a range of input, which essentially represents the texts with identical meaning.
- Create a new aiml file in
AddedFeaturesfolder - Deleting the brain.dump file so that it doesnt take into account the pretrained model and use your created aiml file as well.
- Run
server.pyin terminal to retrain the model. - You can't really deploy it on your own , if you wish to then just add a
config.cfgto the root directory and with the following parameters.
[creds]
token= YOUR_BOT_TOKEN
file=brain.dump
After all this you'll be good to go.