I used Prompt flow for Visual Studio Code to create and run a flow in a Docker container
I created a new flow
I created a standard flow
I accepted the default flow name
I manually added promptflow-tools to the requirements.txt file
I selected the flow and the Build menu item
I selected the Build as docker option
I selected the output folder
I clicked the Create Dockerfile link
I reviewed the generated Dockerfile
Dockerfile
I ran docker build
I opened Docker desktop, found the image and clicked the Run action
I mapped the Docker container's port 8080 to localhost 8080
The container started without issue
I tested the Prompt flow by navigating to localhost 8080.
Notice that in this case gunicorn is used to serve the prompt flow over http
I created a second flow with an OpenAI connection
I created a Chat Flow
I created an OpenAI key
I created a haddley-flow-connection Open AI connection. I pasted the key value
I selected the gpt-3.5-turbo model
I tried to test the flow
I updated requirements.txt and using pip install -r requirements.txt to install promptflow-tools
I tested the flow
I selected the build button
I created a DOCKER folder
I clicked the Create Dockerfile link
I used docker to build an image and to upload the image to dockerhub
docker buildx build --platform linux/amd64,linux/arm64 --rm -t haddley/flow:latest --push .
The image was published to dockerhub
I set the HADDLEY-FLOW-CONNECTION_API_KEY environment variable to the OpenAI key value
I ran the image
