How can we store input from user ? If bot is unable to answer some question then that question should be stored into data and nxt time we can train the data with its answer so that bot will learn

Use logging. Save the conversation in Mongotrackerstore which sends to mongodb Retrieve data from mongodb. And add them in your data file

But what if I want to directly add it to nlu.md file ? under some intent ?

Use dialoguestate tracker. Using custom action you can add to the training data directly. Even with the help of agents you can do that.

Can you please elaborate . how can we use dialogue state tracker ?

from rasa_core.trackers import EventVerbosity tracker = agent.tracker_store.get_or_create_tracker(s_id) state = tracker.current_state(event_verbosity = EventVerbosity.ALL) print(state)

Actually my concern is little bit different. ultimately what I want to do is to collect the user input that lead to fallback, so that i could further train the model with that data

Once you’ve logged the conversations to DB you can use that to retrain. I don’t think you can directly add those phrases to the nlu.md file. You’ll have to identify and manually add the examples there or use interactive learning with those new phrases.

He can write a custom code to directly add those inputs from the tracker to nlu.md file.

Dont use custom action as it will go as per the story what if the user lefts the conversation in the middle? Use tracker to get the conversation. The best way is to get the conversation from tracker current state and export it to .md file.

How to get user input and store them into training data

Rasa Open Source

Ajinkz (Ajinkz) January 10, 2019, 11:38am 11

I was thinking to write code in action.py which can directly write that user input into some ##intent:unknown . I dont known whether there is any better approach. Please do suggest.

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How to get user input and store them into training data

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