mirror of
https://github.com/aljazceru/vibeline.git
synced 2026-01-19 22:44:32 +01:00
refactor: move process script to src
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@@ -1,49 +0,0 @@
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#!/bin/bash
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# Set the directory paths
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VOICE_MEMO_DIR="VoiceMemos"
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TRANSCRIPT_DIR="$VOICE_MEMO_DIR/transcripts"
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# Check if the voice memo directory exists
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if [ ! -d "$VOICE_MEMO_DIR" ]; then
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echo "Error: $VOICE_MEMO_DIR directory does not exist"
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exit 1
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fi
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# Create transcripts directory if it doesn't exist
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mkdir -p "$TRANSCRIPT_DIR"
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# Check if there are any m4a files in the directory
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if ! ls "$VOICE_MEMO_DIR"/*.m4a 1> /dev/null 2>&1; then
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echo "No m4a files found in $VOICE_MEMO_DIR"
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exit 0
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fi
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# Activate the virtual environment
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source vibenv/bin/activate
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# Process each m4a file
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for file in "$VOICE_MEMO_DIR"/*.m4a; do
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if [ -f "$file" ]; then
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# Get the filename without the path and extension
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filename=$(basename "$file" .m4a)
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transcript_file="$TRANSCRIPT_DIR/$filename.txt"
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# Only process if transcript doesn't exist
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if [ ! -f "$transcript_file" ]; then
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echo "Processing file: $file"
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echo "Transcribing audio..."
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# Use whisper to transcribe the audio with tiny model
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whisper "$file" --model tiny --output_dir "$TRANSCRIPT_DIR" --output_format txt
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echo "Transcription saved to: $transcript_file"
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echo "----------------------------------------"
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else
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echo "Skipping $file - transcript already exists"
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fi
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fi
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done
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# Deactivate the virtual environment
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deactivate
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@@ -53,7 +53,7 @@ class VoiceMemoHandler(FileSystemEventHandler):
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try:
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self.processing_lock = True
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print("Processing voice memo...")
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result = subprocess.run([str(self.base_dir / 'src' / 'process_voice_memos.sh')],
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result = subprocess.run([str(self.base_dir / 'process_voice_memos.sh')],
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capture_output=True,
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text=True)
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if result.returncode == 0:
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@@ -70,7 +70,7 @@ class VoiceMemoHandler(FileSystemEventHandler):
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try:
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self.processing_lock = True
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print("Processing transcript...")
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result = subprocess.run(['python', str(self.base_dir / 'src' / 'summarize_transcripts.py')],
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result = subprocess.run(['python', str(self.base_dir / 'summarize_transcripts.py')],
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capture_output=True,
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text=True)
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if result.returncode == 0:
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