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The Google Form Filler (Gff) is a tool designed to automate the process of filling out Google Forms using context extracted from custom documents

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Google Form Filler (Gff) Tool

The Google Form Filler (Gff) is a tool designed to automate the process of filling out Google Forms using context extracted from custom documents.

Gff is a smart assistant that knows exactly what to put in each field of the form, thanks to Google Gemini AI and learning from documents you provide.

Features

  • Automatic Form Filling: Fill out Google Forms automatically using context extracted from documents.
  • Google Gemini AI Integration: Leverage the power of AI to understand and fill forms accurately.
  • Interactive Prompts: Get prompted for additional context when necessary, ensuring comprehensive form filling.
  • Multiple Field Types Support: Short Text, Paragraph, Multiple Choice, Checkbox, List of Choices, Scale, Grid, Date, and Time.

Prerequisites

Before you begin, ensure you have met the following requirements:

Installation

  1. Add GOOGLE_API_KEY to environment variables
  2. Install the required Python packages:
pip install -r requirements.txt

Usage

  1. Add Documents to context (Optional):

To add context from a document or a directory of documents, use the --doc-add flag:

python gff.py --doc-add path/to/your/document_or_directory
  1. Fill a Google Form:

Simply run the tool and follow the interactive prompts:

python gff.py

The --copilot flag prompts users for additional input when the tool needs more context to accurately fill out a Google Form. This ensures higher accuracy and completeness in form submissions.

python gff.py --copilot
  1. To enable debug mode for additional logs, use the --debug flag.

Demo

Watch our demo video to see how it works.

Watch the Demo

Try It Yourself

Use the link below to access an example form featured in the demo video:

Fake Hackathon Registration Form

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The Google Form Filler (Gff) is a tool designed to automate the process of filling out Google Forms using context extracted from custom documents

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