mirror of
https://github.com/aljazceru/vibeline.git
synced 2026-01-17 05:24:25 +01:00
77 lines
2.4 KiB
Python
Executable File
77 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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import os
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import sys
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from pathlib import Path
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import ollama
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def read_transcript(transcript_file: Path) -> str:
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"""Read the content of a transcript file."""
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with open(transcript_file, 'r', encoding='utf-8') as f:
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return f.read()
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def load_prompt_template(transcript_text: str) -> str:
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"""Load the appropriate prompt template based on transcript content."""
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prompt_dir = Path("prompts")
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# Check if transcript contains app-related content
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if "idea" in transcript_text.lower() and "app" in transcript_text.lower():
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prompt_file = prompt_dir / "idea_app.md"
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else:
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prompt_file = prompt_dir / "default.md"
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with open(prompt_file, 'r', encoding='utf-8') as f:
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return f.read()
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def process_transcript(transcript_text: str) -> str:
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"""Process a transcript using LLaMA to generate a summary."""
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# Load the appropriate prompt template
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prompt_template = load_prompt_template(transcript_text)
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# Format the prompt with the transcript
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prompt = prompt_template.format(transcript=transcript_text)
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# Use Ollama to generate the summary
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response = ollama.chat(model='llama2', messages=[
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{
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'role': 'user',
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'content': prompt
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}
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])
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return response['message']['content']
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def save_summary(summary: str, output_file: Path) -> None:
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"""Save the summary to a file."""
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write(summary)
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def main():
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transcript_dir = Path("VoiceMemos/transcripts")
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summary_dir = Path("VoiceMemos/summaries")
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# Create summaries directory if it doesn't exist
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summary_dir.mkdir(parents=True, exist_ok=True)
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# Process all transcript files
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for transcript_file in transcript_dir.glob("*.txt"):
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print(f"Processing {transcript_file.name}...")
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# Read transcript
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transcript_text = read_transcript(transcript_file)
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# Generate summary
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try:
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summary = process_transcript(transcript_text)
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# Save summary
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summary_file = summary_dir / f"{transcript_file.stem}_summary.txt"
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save_summary(summary, summary_file)
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print(f"Summary saved to {summary_file}")
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except Exception as e:
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print(f"Error processing {transcript_file.name}: {str(e)}")
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continue
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if __name__ == "__main__":
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main() |