Added bash commands for windows

Refactor for AimSight: modular architecture, S3 storage, and new annotation tools

See merge request industry/aimsight/river-annotation-tool!1

README.md

@@ -11,14 +11,17 @@ A desktop GUI application for manually annotating video clips. Annotators draw p
 
 ```sh
 # 1. Clone and install
-git clone https://gitlab.datascience.ch/industry/aimsight/river-annotation-tool
+git clone https://exchange.sensima.ch/ivan.sievering/clip-annotator
-cd river-annotation-tool
+cd clip-annotator
 uv sync
 
 # 2. Create config and clip list from examples
-cp config/config.example.yaml config/config.yaml
+cp config/config.example.yaml config/config.yaml   # macOS/Linux
 cp config/clips.example.txt config/clips.txt
 
+copy config\config.example.yaml config\config.yaml  # Windows
+copy config\clips.example.txt config\clips.txt
+
 # 3. Edit config/config.yaml (set data_dir and out_dir)
 #    Edit config/clips.txt (list clips to annotate)
 #    Edit config/questions.yaml to customise survey questions (optional)
@@ -45,8 +48,13 @@ pip install -e .
 Before running, create your config and clip list from the provided examples:
 
 ```sh
+# macOS/Linux
 cp config/config.example.yaml config/config.yaml
 cp config/clips.example.txt config/clips.txt
+
+# Windows
+copy config\config.example.yaml config\config.yaml
+copy config\clips.example.txt config\clips.txt
 ```
 
 Edit `config/config.yaml` to set your `data_dir` and `out_dir`, then edit `config/clips.txt` to list the clips you want to annotate. Survey questions are defined in `config/questions.yaml` (committed to the repo; edit to customise). See the [Configuration](#configuration) section for all available options.
@@ -64,7 +72,8 @@ out_dir: my-bucket/annotation_results
 Copy `.env.example` to `.env` and fill in your credentials — the app loads this file automatically at startup:
 
 ```sh
-cp .env.example .env
+cp .env.example .env          # macOS/Linux
+copy .env.example .env        # Windows
 # edit .env with your credentials
 ```