update readme

README.md

@@ -11,4 +11,48 @@ license: mit
 short_description: Chat with a character via reference sheet!
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Chat with Reference Sheet
+
+A demo of [Gemma 3](https://blog.google/technology/developers/gemma-3/), demonstrating its excellent vision and multilingual capability.
+
+## Environment Configuration
+
+Register an account on [HuggingFace](https://huggingface.co)
+
+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
+```bash
+conda create -n transformers_gemma pip python=3.12
+conda activate transformers_gemma
+```
+
+Install [HuggingFace Transformers for Gemma 3](https://github.com/huggingface/transformers/releases/tag/v4.49.0-Gemma-3):
+```bash
+pip install git+https://github.com/huggingface/[email protected]
+```
+
+Install [PyTorch](https://pytorch.org/get-started/locally/)
+
+On Nvidia GPU (with CUDA 12.6):
+```bash
+pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu126
+```
+
+On CPU:
+```bash
+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`:
+
+```bash
+huggingface-cli login
+```
+
+Copy-paste your access token and press enter.
+
+
+