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https://github.com/danbulant/dots-hyprland
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add back ai primary buffer query (closes #1462)
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4 changed files with 342 additions and 1 deletions
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@ -64,7 +64,7 @@ bindd = Super+Alt, R, Record region (no sound), exec, ~/.config/hypr/hyprland/sc
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bindd = Ctrl+Alt, R, Record screen (no sound), exec, ~/.config/hypr/hyprland/scripts/record.sh --fullscreen # [hidden] Record screen (no sound)
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bindd = Super+Shift+Alt, R, Record screen (with sound), exec, ~/.config/hypr/hyprland/scripts/record.sh --fullscreen-sound # Record screen (with sound)
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# AI
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bindd = Super+Shift+Alt, mouse:273, Generate AI summary for selected text, exec, ~/.config/ags/scripts/ai/primary-buffer-query.sh # AI summary for selected text
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bindd = Super+Shift+Alt, mouse:273, Generate AI summary for selected text, exec, ~/.config/hypr/hyprland/scripts/ai/primary-buffer-query.sh # AI summary for selected text
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#!
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##! Window
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@ -0,0 +1,201 @@
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Apache License
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41
.config/hypr/hyprland/scripts/ai/primary-buffer-query.sh
Executable file
41
.config/hypr/hyprland/scripts/ai/primary-buffer-query.sh
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#!/usr/bin/env bash
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# Default system prompt
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SYSTEM_PROMPT="You are a helpful, quick assistant that provides brief and concise explanation \
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to given content in at most 100 characters. If the given content is not in English, translate \
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it to English. If the content is an English word, provide its meaning. If the content is a name, \
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provide some info about it. For a math expression, provide a simplification, \
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each step on a line following this style: \`2x=11 (subtract 7 from both sides)\`. \
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If you do not know the answer, simply say 'No info available'. \
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Only respond for the appropriate case and use as little text as possible.\
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The content:"
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first_loaded_model=$("$(dirname "$0")/show-loaded-ollama-models.sh" -j | jq -r '.[0].model' 2>/dev/null) || first_loaded_model=""
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model=${first_loaded_model:-"llama3.2"}
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# Parse command-line arguments
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while [[ "$#" -gt 0 ]]; do
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case $1 in
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--model) model="$2"; shift ;; # Set the model from the flag
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*) echo "Unknown parameter: $1"; exit 1 ;;
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esac
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shift
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done
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# Combine the system prompt with the clipboard content
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content=$(wl-paste -p | tr '\n' ' ')
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prompt="$SYSTEM_PROMPT $content"
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# Make the API call with the specified or default model
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response=$(curl http://localhost:11434/api/generate -d \
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"{\"model\": \"$model\",\"prompt\": \"$prompt\",\"stream\": false}" \
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| jq -r '.response')
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# Check if content is a single line and no longer than 30 characters
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if [[ ${#content} -le 30 && "$content" != *$'\n'* ]]; then
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notify-send --app-name="Text selection query" --expire-time=10000 \
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"$content" "$response"
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else
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notify-send --app-name="Text selection query" --expire-time=10000 \
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"AI Response" "$response"
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fi
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99
.config/hypr/hyprland/scripts/ai/show-loaded-ollama-models.sh
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99
.config/hypr/hyprland/scripts/ai/show-loaded-ollama-models.sh
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#!/bin/bash
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# From strikeoncmputrz/LLM_Scripts
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# License: Apache-2.0, can be found in the same folder as this script
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# Global Vars
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ollama_url=http://localhost
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port="11434"
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blobs=()
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model_name_paths=()
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#Parse arguments
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while [ "$#" -gt 0 ]; do
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case $1 in
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-h|--help)
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echo
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echo " Identifies Ollama models running on this operating system by parsing running processes."
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echo
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echo " Usage: $0 [options]"
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echo
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echo " Options:"
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echo " -j, --json_output Prints result as a json object. Other output disabled. (Default: false)"
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echo " -p, --port [port number] Specify Ollama Server port (Default: 11434)"
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echo " -u, --ollama_url [url] Specify Ollama Server URL (Default: http://localhost)"
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echo
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echo " Dependencies: jq"
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exit 0
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;;
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-j|--json_output)
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json_out=1
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shift 1
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;;
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-u|--ollama_url)
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ollama_url=$2
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shift 2
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;;
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-p|--port)
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port=$2
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shift 2
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;;
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*)
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echo "Unknown option: $1"
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exit 1
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;;
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esac
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done
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compare_running_models_and_modelfiles() {
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json_match=()
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json_output=()
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local matching_models=()
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OLDIFS=$IFS
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for ((i=0; i<${#model_name_paths[@]}; i++)); do # Iterate over the array of modelname,blob-path
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for blob in "${blobs[@]}"; do
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IFS=',', read -ra fields <<< "${model_name_paths[i]}" # Split the string into parts
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if [ "${fields[1]}" == "$blob" ]; then # Check if current 'field' matches a blob
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matching_models+=( '{ "model": "'"${fields[0]}"'", "path": "'"${fields[1]}"'"}') # Add to list of matching models
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fi
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done
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done
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if [ -z "$json_out" ]; then
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echo -e "\nModel Found: \n $(echo ${matching_models[*]} | jq '.' | sed s/[{}]//g) \n"
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else
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local json_match="${matching_models[*]}"
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json_output=$(echo $json_match | jq -c -s .)
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echo "$json_output"
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fi
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IFS=$OLDIFS
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}
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get_running_model_paths() {
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blobs=$(ps aux | grep -- '--model' | grep -v grep | grep -Po '(?<=--model\s).*' | cut -d ' ' -f1)
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if [ -z "$blobs" ]; then
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echo -e "\n\n Warning: No running Ollama models detected!\n"
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exit 0
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fi
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}
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parse_modelfiles() {
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if [ -z "$json_out" ]; then
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echo -e "\nConnecting to $ollama_url:$port\n"
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if [ -z "$(curl -s $ollama_url:$port)" ]; then
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echo -e "Could not connect to Ollama. Check the ollama_url parameter and that the server is running\n"
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exit 1
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fi
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curl -s "$ollama_url:$port"
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fi
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local models=( $(curl -s "$ollama_url:$port/api/tags" | jq -r '.models[].name') )
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for model in "${models[@]}"; do
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local modelfile=$(curl -s "$ollama_url:$port/api/show" -d '{ "name": "'"$model"'", "modelfile": true }' | jq -r '.modelfile')
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model_name_paths+=($model,$(echo "$modelfile" | awk '/^FROM/{print $2}'))
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done
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}
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parse_modelfiles
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get_running_model_paths
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compare_running_models_and_modelfiles
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