|
|
--- |
|
|
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 |
