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refractor gemini-categorize-wallpaper.sh
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@@ -1,33 +1,45 @@
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#!/usr/bin/env bash
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if [[ -z "$1" ]]; then
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echo "Usage: $0 <image_path>"
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echo "Usage: $0 <image_path> [model] [prompt]"
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echo "Tip: set GEMINI_WALLPAPER_MODEL and/or GEMINI_WALLPAPER_PROMPT to provide defaults."
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exit 1
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fi
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# Variables
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SOURCE_IMG_PATH="$1"
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MODEL="${2:-${GEMINI_WALLPAPER_MODEL:-gemini-2.5-flash-lite}}" # We use the flash variant so it's fast
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WALLPAPER_NAME="$(basename "$SOURCE_IMG_PATH")"
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PROMPT="${3:-${GEMINI_WALLPAPER_PROMPT:-Categorize the wallpaper. Its file name is $WALLPAPER_NAME}}"
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RESIZED_IMG_PATH="/tmp/quickshell/ai/wallpaper.jpg"
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# Resize image for speed
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magick "$SOURCE_IMG_PATH" -resize 200x -quality 50 "$RESIZED_IMG_PATH"
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# Get API key
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API_KEY=$(secret-tool lookup 'application' 'illogical-impulse' | jq -r '.apiKeys.gemini')
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# Encode image to base64
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if [[ "$(base64 --version 2>&1)" = *"FreeBSD"* ]]; then
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B64FLAGS="--input"
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B64FLAGS="--input"
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else
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B64FLAGS="-w0"
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B64FLAGS="-w0"
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fi
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B64DATA="$(base64 $B64FLAGS $RESIZED_IMG_PATH)"
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# echo $B64DATA
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# Prepare request data
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payload='{
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"contents": [{
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"parts":[
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{
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"inline_data": {
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"mime_type":"image/jpeg",
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"data": "'"$(base64 $B64FLAGS $RESIZED_IMG_PATH)"'"
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}
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},
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{"text": "Categorize the wallpaper. Its file name is '"$WALLPAPER_NAME"'"}
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]
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"parts":[
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{
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"inline_data": {
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"mime_type":"image/jpeg",
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"data": "'"$B64DATA"'"
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}
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},
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{"text": "'"$PROMPT"'"}
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]
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}],
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"generationConfig": {
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"responseMimeType": "text/x.enum",
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@@ -35,14 +47,18 @@ payload='{
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"type": "string",
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"enum": [ "abstract", "anime", "city", "minimalist", "landscape", "plants", "person", "space" ]
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},
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"temperature": 0,
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"temperature": 0
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}
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}'
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# echo "$payload" | jq
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response=$(curl "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent" \
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# Make the request
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response=$(curl "https://generativelanguage.googleapis.com/v1beta/models/${MODEL}:generateContent" \
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-H "x-goog-api-key: $API_KEY" \
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-H 'Content-Type: application/json' \
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-X POST \
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-d "$payload" 2> /dev/null)
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# echo "$response" | jq
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# Write the result
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echo "$response" | jq -r '.candidates[0].content.parts[0].text'
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