Using Codespaces

Codespaces provides a complete, configurable dev environment on top of a powerful VM in minutes. This allows you to work on your project from anywhere, without having to clone or sync your project from local.

To use Codespaces:

1. Click on the Code button in your GitHub repository.
2. Select Open with Codespaces.
3. Click on + New codespace.

Using Terminal to Login to gcloud and Switch Projects

Before running the setup.sh script, you need to login to gcloud and switch to your desired project. Here's how you can do it:

1. Open the terminal in your codespace.
2. Login to gcloud by running gcloud auth login. Follow the prompts to authorize gcloud to use your Google Cloud account.
3. Switch to your desired project by running gcloud config set project PROJECT_ID, replacing PROJECT_ID with your actual project ID.

Running the setup.sh Script

After logging in to gcloud and switching projects, you can run the setup.sh script. This script performs setup operations for your project, such as setting up Google Cloud Storage permissions.

To run the setup.sh script:

1. In the terminal, navigate to the directory containing the setup.sh script.
2. Run the script by typing ./setup.sh.
3. The script will echo "Environment setup completed successfully." when it finishes running.

Please note that you need to have the necessary permissions to run the setup.sh script and to perform the operations it contains.

graph TD
    subgraph title [High-Level Workflow: AI-powered Sustainability Analysis on PDFs]
        subgraph internalFlow [Internal Processing Flow]
            cloudStorageBucket[Cloud Storage Bucket] --> triggerStep(Cloud Functions or Pub/Sub)
            triggerStep --> pdfPreprocessing["PDF Preprocessing (Cleaning/Formatting/OCR)"]
            pdfPreprocessing --> entityRecognition["Entity Recognition (Sustainability Keywords)"]
            entityRecognition & pdfPreprocessing --> sentimentAnalysis[Sentiment Analysis]
            sentimentAnalysis & entityRecognition & pdfPreprocessing --> validateData(Data Validation)
            validateData --> modelProcessing["Sustainability Classification & Impact Assessment"]
            modelProcessing --> classifySustainability["Classify Sustainability Category (Optional)"]
            modelProcessing --> predictImpact["Predict Sustainability Impact (Optional)"]
            classifySustainability & predictImpact --> storeResults[Store Results in Cloud Storage or Database]
        end

        subgraph externalFlow [External API Flow]
            storeResults --> exposeAPI[Expose via API Gateway or Cloud Endpoints]
            exposeAPI --> benchmarkAPI[Call Benchmarking API]
            benchmarkAPI --> endPoint[End]
        end
    end

    classDef gcp fill:#4285f4,color:#fff;
    class cloudStorageBucket,triggerStep,pdfPreprocessing,entityRecognition,sentimentAnalysis,modelProcessing,storeResults,exposeAPI,benchmarkAPI,validateData,classifySustainability,predictImpact gcp;

Loading