Added revisions to the translation app

video_transcription/ai_transcriber_v2/install_local_llm.sh

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+#!/bin/bash
+
+# install_local_llm.sh
+# Installs Ollama and a translation-capable model on Linux (Bazzite/Fedora/Debian compatible)
+
+set -e
+
+echo "================================================="
+echo "   Local LLM Setup for AI Transcriber (Ollama)"
+echo "================================================="
+
+# 1. Check if Ollama is already installed
+if command -v ollama &> /dev/null; then
+    echo "✅ Ollama is already installed."
+else
+    echo "⬇️  Installing Ollama..."
+    # Standard Ollama install script (Works on Bazzite/Silverblue as /usr/local is writable)
+    curl -fsSL https://ollama.com/install.sh | sh
+fi
+
+# 2. Check GPU availability for Ollama
+echo "-------------------------------------------------"
+if command -v nvidia-smi &> /dev/null; then
+    echo "✅ Nvidia GPU detected. Ollama should run efficiently."
+else
+    echo "⚠️  Nvidia GPU not found (or drivers missing)."
+    echo "   Ollama will run on CPU, which might be slow for translation."
+fi
+echo "-------------------------------------------------"
+
+# 3. Start Ollama Server (Background)
+# In some dev containers, systemd isn't available, so we try to start it manually if not running.
+if ! pgrep -x "ollama" > /dev/null; then
+    echo "🚀 Starting Ollama server in the background..."
+    nohup ollama serve > ollama.log 2>&1 &
+    PID=$!
+    echo "   (PID: $PID) - Waiting 5 seconds for initialization..."
+    sleep 5
+else
+    echo "✅ Ollama server is already running."
+fi
+
+# 4. Pull a Model
+# 'llama3' (8B) is a great balance of speed and quality for translation.
+# 'gemma:7b' is also good.
+MODEL="llama3"
+
+echo "⬇️  Pulling model: $MODEL (This may take a few minutes)..."
+ollama pull $MODEL
+
+echo "-------------------------------------------------"
+echo "✅ Installation Complete!"
+echo ""
+echo "You can test it manually with: ollama run $MODEL 'Translate this to Spanish: Hello World'"
+echo ""
+echo "The AI Transcriber scripts will now detect and use this as a fallback."
+echo "================================================="