My rasa chatbot works fine on my local machine. My rasa version is: Rasa Version : 3.6.15 Minimum Compatible Version: 3.5.0 Rasa SDK Version : 3.6.2 Python Version : 3.9.18 Operating System : macOS-14.1.1-arm64-arm-64bit My directory structure is: . ├── Dockerfile ├── config.yml ├── credentials.yml ├── data │ ├── nlu.yml │ ├── rules.yml │ └── stories.yml ├── domain.yml ├── endpoints.yml └── models └── 20231219-234027-gray-entropy.tar.gz My docker file is: # Use an official Rasa image as a base image FROM python:3.9.18 # Set the working directory WORKDIR /app/rasa # Copy the contents of the current directory to the container COPY . . RUN pip install rasa==3.6.15 # Specify the command to run when the container starts CMD ["rasa","run", "--enable-api", "--cors", "*", "--debug"] But whenever i dockerize my app it shows the log: DEBUG rasa.core.policies.ted_policy - Failed to load ABCMeta from model storage. Resource ‘train_TEDPolicy3’ doesn’t exist. DEBUG root - No model server endpoint found after server start. INFO root - Enabling coroutine debugging. Loop id 187650336839136. (just few logs which i found confusing) Mind you, the shell works, but it only gives default fallback responses. Edit1: When I try to run the same configuration locally: conda create -n rasa3 python=3.9.18 ipython pip install rasa==3.6.15 everything works fine. The rasa shell works as it should. The default response does not get triggered. Is there a problem with my docker python image?

nik202 (NiK202) December 21, 2023, 5:05pm 9

Check this link and mate the necessary changes in your Dockerfile only and build your model.

You need to check rasa train, image for rasha and the cmd command

Let me know

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Rasa chatbot behaves weirdly on docker, works perfectly on local