Setup Steps

The solution supports both local execution and deployment to Cloud Run environments.

Running Locally

Clone Repository: Clone the repository containing the solution's code to your local machine.
Install Dependencies: Navigate to the project directory and install dependencies from requirements.txt using pip.

Set Environment Variables: Create a .env file in the project directory and populate it with necessary environment variables:

PROJECT_ID=<Your_Google_Cloud_Project_ID>
LOCATION=<Desired_Location>
REGION=<Desired_Google_Cloud_Project_Region>
YOUR_EMAIL=<Your_Email_Address_Associated_With_Google_Cloud_Project>
PROJECT_NUMBER=<Your_Google_Cloud_Project_Number>

Run the Application: Execute the following command to run the application locally:
```
python -m streamlit run app/Home.py
```
Access the Application: Once the application is running locally, access it through a web browser using the specified local host address and port.

Deployment Steps

Follow the below steps to deploy the solution to Cloud Run environment.

Google Cloud Storage Setup

Create Bucket: Manually create GCS bucket 'product_innovation_bucket' using either the Google Cloud Console or command-line tools (gsutil). The bucket is necessary for:
- document_uploads: Stores market research, surveys, trend reports, etc.
- generated_products: Stores output images, descriptions, etc.
- image_edits: Stores intermediate/modified images during the regeneration process.
Using the Google Cloud Console (Web Interface):
- Navigate to the Google Cloud Storage section of your Google Cloud console.
- Click on the "Create Bucket" button.
- Provide the following details:
  - Name: Enter 'product_innovation_bucket' as bucket name.
  - Location: Choose a region closest to where your solution will operate for best performance.
  - Storage Class: Select the class based on frequency of access and cost considerations.
  - Advanced Settings: Adjust encryption, access control, etc., if necessary.
- Click "Create".
Using the 'gsutil' Command-Line Tool:
- Ensure that you have the gcloud SDK installed and 'gsutil' configured.
- Run the following command in your terminal, replacing <region> with your desired bucket location:
```
gcloud storage buckets create --location <region> gs://product_innovation_bucket
```

Environment Setup

Ensure that the configure_resources.sh script is in the directory containing the solution's code.
Create a .env file within the same directory and populate it with the same values as mentioned above.
Create a .env file in the 'cloud_functions' directory and populate it with necessary environment variables as mentioned above.

Execute the Script

Open a terminal and navigate to the directory containing the script and env.txt file.
Run the script configure-resources.sh using the command:
```
sh configure-resources.sh
```
The script will:
- Parse .env to obtain project details.
- Initialize gcloud and set project configuration.
- Set up a service account with necessary IAM roles.
- Deploy Cloud Functions (imagen-call, gemini-call, text-embedding).
- Capture URLs for deployed Cloud Functions.
- Deploy the main application to Cloud Run.
- Ensure that the service account has been created and manually grant the following roles to the created service account retail-accelerating-prod-i-982@[PROJECT_ID].iam.gserviceaccount.com:
  - Service account user
  - Cloud Run Admin
  - Cloud Storage Admin

3.7 KiB Raw Permalink Blame History