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Runtime error
A newer version of the Gradio SDK is available:
6.2.0
title: Refsheet Chat
emoji: 💬
colorFrom: gray
colorTo: green
sdk: gradio
sdk_version: 5.21.0
app_file: app.py
pinned: false
license: mit
short_description: Chat with a character via reference sheet!
Chat via Reference Sheet
A demo of Gemma 3, demonstrating its excellent vision and multilingual capability.
Environment Configuration
Register an account on HuggingFace
Submit a Gemma Access Request from https://huggingface.co/google/gemma-3-4b-it. The access should be granted immediately with an email notification. After that, the model page will show
Gated model: You have been granted access to this model
Create conda environment with pip and Python 3.12
conda create -n transformers_gemma pip python=3.12
conda activate transformers_gemma
Install HuggingFace Transformers for Gemma 3:
pip install git+https://github.com/huggingface/transformers@v4.49.0-Gemma-3
Install PyTorch
On Nvidia GPU (with CUDA 12.6):
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
On CPU:
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu
Create an User Access Token from https://huggingface.co/docs/hub/security-tokens, then log in to your HuggingFace account with huggingface-cli:
huggingface-cli login
Copy-paste your access token and press enter.