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Python-based web application using Flask to generate text based on Google’s Gemini 1.5 Pro Model deployed on GCP using Cloud Run

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NehaKoppikar/ContentGenerationAnalysis

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AI-Assisted Content Generation and Analysis

Video Demo Link

Blog Post Link

Here's a guide on how to build this project on Google Cloud:

  1. Create a new Google Cloud project

  2. Enable following APIs:

    • Cloud Run Admin API
    • Cloud Build API
    • Vertex AI API
  3. Run the following command on Cloud Shell:

    gcloud config set project YOUR_PROJECT_ID
    
  4. Clone the repository using the following command:

    git clone https://github.com/NehaKoppikar/ContentGenerationAnalysis.git
    
  5. Change the working directory using the following command:

    cd ContentGeneratorAnalysis
    
  6. Build Docker image

    gcloud builds submit --tag gcr.io/YOUR_PROJECT_ID/gen-analyzer
    
  7. Deploy the image to Cloud Run

    gcloud run deploy --image gcr.io/YOUR_PROJECT_ID/gen-analyzer --platform managed
    

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Python-based web application using Flask to generate text based on Google’s Gemini 1.5 Pro Model deployed on GCP using Cloud Run

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