• Chat with CSV App configured with openai API (Get API key from this link)
• A QA Chatbot using LangChain and Chainlit
• Containerize the app using Docker
• Deployment on Google Cloud using Cloud Run

This repo contains a main.py file which has a code for a chatbot implementation for having conversation with CSV file.

1. Clone the repository📂

git clone https://github.com/sudarshan-koirala/langchain-chainlit-docker-deployment
cd langchain-chainlit-docker-deployment 

2. Install dependencies with Poetry and activate virtual environment🔨

To install Poetry, run the following command, pipx install poetry. Make sure pipx is installed in your machine.

poetry install
poetry shell

3. Run the Chainlit server🚀

chainlit run demo_app/main.py

This project includes Dockerfile to run the app in Docker container.

Build the docker container

DOCKER_BUILDKIT=1 docker build --target=runtime . -t langchain-chainlit-chat-app:latest

Run the docker container using docker-compose

docker-compose up

This app can be deployed on Google App Engine following below steps.

Two configurations files shown below are used.

1. app.yaml: A Configuration file for gcloud
2. .gcloudignore : Configure the file to ignore file / folders to be uploaded

Dockerfile is used to deploy the app on GCP.

• For me as I am in github codespace, I follow these instructions, Choose the one that fits your machine.
• Once you installed, in order to use gcloud instead of ./google-cloud-sdk/bin/gcloud, you need to add it to the path.
• For me, its zsh so, follow these steps.

1. vim ~/.zshrc

# Add this line at the end of the file, replacing [PATH_TO_GCLOUD] with the absolute path to your google-cloud-sdk/bin/ directory

2. export PATH="$PATH:[PATH_TO_GCLOUD]/google-cloud-sdk/bin/"

Save and close. To make these changes take effect, you need to source your ~/.zshrc file

3. source ~/.zshrc

1. Initialise & Configure the App

First create a project in GCP console

gcloud auth login
gcloud auth list
gcloud app create --project=[YOUR_PROJECT_ID]
gcloud config set project [YOUR_PROJECT_ID]

Provide billing account for this project by running gcloud beta billing accounts list OR you can do it manually from the GCP console.

2. Enable Services for the Project: We have to enable services for Cloud Run using below set of commands

gcloud services enable cloudbuild.googleapis.com
gcloud services enable run.googleapis.com

3. Create Service Accounts with Permissions

gcloud iam service-accounts create langchain-app-cr \
    --display-name="langchain-app-cr"

gcloud projects add-iam-policy-binding langchain-cl-chat-with-csv \
    --member="serviceAccount:[email protected]" \
    --role="roles/run.invoker"

gcloud projects add-iam-policy-binding langchain-cl-chat-with-csv \
    --member="serviceAccount:[email protected]" \
    --role="roles/serviceusage.serviceUsageConsumer"

gcloud projects add-iam-policy-binding langchain-cl-chat-with-csv \
    --member="serviceAccount:[email protected]" \
    --role="roles/run.admin"

4. Check the artifacts location

gcloud artifacts locations list

5. Generate Docker with Region

DOCKER_BUILDKIT=1 docker build --target=runtime . -t europe-west6-docker.pkg.dev/langchain-cl-chat-with-csv/clapp/langchain-chainlit-chat-app:latest

6. Push Docker to Artifacts Registry

# Create a repository clapp
gcloud artifacts repositories create clapp \
    --repository-format=docker \
    --location=europe-west6 \
    --description="A Langachain Chainlit App" \
    --async
# Assign authuntication
gcloud auth configure-docker europe-west6-docker.pkg.dev

# Push the Container to Repository
docker images
docker push europe-west6-docker.pkg.dev/langchain-chat/clapp/langchain-chainlit-chat-app:latest

7. Deploy the App using Cloud Run

gcloud run deploy langchain-cl-chat-with-csv-app --image=europe-west6-docker.pkg.dev/langchain-cl-chat-with-csv/clapp/langchain-chainlit-chat-app:latest \
    --region=europe-west6 \
    --service-account=langchain-app-cr@langchain-cl-chat-with-csv.iam.gserviceaccount.com \
    --port=8000

3. Access the App Once deployed, you can try the app similar to follwing link. I have deleted the app for cost saving as it was just created for demonstration purpose 🙂

https://langchain-cl-chat-with-csv-app-iu7ux3rrza-ez.a.run.app/

This is a template app. When using with openai_api key, you will be charged a nominal fee so be careful when using it. Cheers! Happy Coding 😎