README.md

metadata

title: Interactive Gemma Text Generation Demo
emoji: ✍️
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: true
short_description: Cool and Awesome initial prototype for GSOC Proposal
tags:
  - text-completion
  - large-language-models
  - llm
  - gemma-2b
  - streamlit
  - interactive-demo
  - gsoc
  - google-deepmind
  - text-generation
  - gemma
  - streamlit
  - large-language-models
  - natural-language-processing
thumbnail: >-
  https://cdn-uploads.huggingface.co/production/uploads/67ac255d23491001de30c71c/K2IlTBGqHbnJgYQ5a_-hX.png

Gemma Text Generator

A streamlined web application that leverages Google's Gemma-2B language model to generate text with customizable tones and parameters.

Overview

This project is a Streamlit-based web application that allows users to generate text using Google DeepMind's Gemma-2B language model. The application features an intuitive interface where users can input prompts, select different tones (Funny, Serious, or Poetic), and adjust various generation parameters to customize the output.

Features

• Text Generation: Generate text completions from user prompts
• Tone Selection: Choose from three different writing styles:
  • Funny: Witty and humorous responses with unexpected twists
  • Serious: Thoughtful and professional responses with logical reasoning
  • Poetic: Vivid, lyrical responses with metaphors and imagery
• Customizable Parameters:
  • Word count: Control the approximate length of generated text
  • Temperature: Adjust the creativity and randomness
  • Top-p (Nucleus Sampling): Control the diversity of outputs
  • Repetition Penalty: Prevent repetitive phrases
• Word Cloud Visualization: See a visual representation of word frequency in the generated text
• One-Click Examples: Try pre-configured examples with a single click

Technology Stack

• Streamlit: Web application framework
• Hugging Face Transformers: Library for accessing pre-trained language models
• Google Gemma-2B: The underlying language model for text generation
• PyTorch: Deep learning framework
• WordCloud: Library for creating visual representations of text data
• Matplotlib: For visualizing the word cloud

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference