ML FAQ model demo with rasa & Docker
docker run -v ./:/app \
-e RASA_PRO_LICENSE= "" \ #Add value
-e OPENAI_API_KEY= "" \ #Add value
-e RASA_DUCKLING_HTTP_URL=localhost:8000 \
europe-west3-docker.pkg.dev/rasa-releases/rasa-pro/rasa-pro:3.9.3 \
init --template tutorial --no-prompt
docker run -v ./:/app \
-e RASA_PRO_LICENSE= "" \ #Add value
-e OPENAI_API_KEY= "" \ #Add value
-e RASA_DUCKLING_HTTP_URL=localhost:8000 \
europe-west3-docker.pkg.dev/rasa-releases/rasa-pro/rasa-pro:3.9.3 \
train
docker run -d -p 5005:5005 -v ./:/app \
-e RASA_PRO_LICENSE= "" \ #Add value
-e OPENAI_API_KEY= "" \ #Add value
-e RASA_DUCKLING_HTTP_URL=localhost:8000 \
europe-west3-docker.pkg.dev/rasa-releases/rasa-pro/rasa-pro:3.9.3 \
run -m models --enable-api --cors "*" --debug
docker run -p 5005:5005 -v $(pwd):/app <IMAGE>:3.5.2 run -m models --enable-api --cors "*" --debug
docker build -t rasa-webchat:v1 -f Dockerfile-webchat .
docker run -p 8080:80 rasa-webchat:v1
Open localhost:8080
in Browser
