https://github.com/codertx/google-generative-ai-colab

A comprehensive guide to using Google Generative AI in Colab, covering API configuration, model initialization, chatting, video processing, story generation, and image processing.
https://github.com/codertx/google-generative-ai-colab

Last synced: 28 days ago
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A comprehensive guide to using Google Generative AI in Colab, covering API configuration, model initialization, chatting, video processing, story generation, and image processing.

• Host: GitHub
• URL: https://github.com/codertx/google-generative-ai-colab
• Owner: CodeRTX
• License: apache-2.0
• Created: 2024-09-12T19:05:26.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-10-17T12:46:10.000Z (4 months ago)
• Last Synced: 2024-11-10T03:31:28.737Z (3 months ago)
• Language: Jupyter Notebook
• Size: 2.86 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Comprehensive Guide to Using Google Generative AI in Colab

This notebook provides a step-by-step guide to setting up and using Google Generative AI in Google Colab. It covers API configuration, model initialization, chatting, video processing, story generation, and image processing. The notebook also includes examples of generating content, such as summarizing a video and creating a sci-fi story. Additionally, it demonstrates how to handle and process images using PIL. This guide is designed to help users understand and leverage the capabilities of Google Generative AI effectively.

## Table of Contents

- [Basic Setup](#basic-setup)

- [API Configuration](#api-configuration)

- [Model Initialization](#model-initialization)

- [Chatting](#chatting)

- [Video Processing](#video-processing)

- [Story Generation](#story-generation)

- [Image Processing](#image-processing)

- [Auxiliary Story Section](#auxiliary-story-section)

- [Necessary Function](#necessary-function)

- [Text Processing](#text-processing)

## Basic Setup

```python

from google.colab import userdata

APIkey = userdata.get('HF_TOKEN')

```

 ....