qlawmarq

qlawmarq

from langchain.llms import OpenAI
from langchain import OpenAI, SQLDatabase, SQLDatabaseChain
from langchain.prompts.prompt import PromptTemplate
import os

def chat_with_mysql_database(prompt: str):
    """
    Args:
        prompt (str): Question to ask e.g. "Generate an SQL query to retrieve all users"
    Returns:

qlawmarq

# The following is an example of a command to clone an development(ex-app-development) as an production(ex-app-production).
kubectl get deployment ex-app-development -o json \
  | jq '.metadata.name = "ex-app-production"' \
  | kubectl apply -f - 

qlawmarq

#####
#
# GitHub Actions will deploy your app to Cloud Run in Google Cloud Platform (GCP) when you push to master or main branch.
#
# 1. Set up your GCP project and Cloud Run service account
# 2. Ensure your service account has permissions to push images to Artifact Registry and deploy to Cloud Run.
# 3. Create a key.json file for the service account and add it to your GitHub repo as a secret. (In this example, the secret name is GCP_DEPLOYER_KEY)
# 4. Enable the Cloud Run API and Artifact Registry API in your GCP project
# 5. Add this file as .github/workflows/deployer.yml
# 6. Add a Dockerfile to your repo to build your app