NANDI
d0e0e53087
Async pipeline: streamlink + ffmpeg frame capture → Gemini Vision API analysis → rich console output + log file. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
import argparse
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import os
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from dotenv import load_dotenv
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def load_config() -> argparse.Namespace:
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load_dotenv()
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parser = argparse.ArgumentParser(description="Twitch Stream Vision Analyzer")
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parser.add_argument("--channel", required=True, help="Twitch channel name")
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parser.add_argument(
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"--interval",
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type=int,
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default=15,
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help="Frame capture interval in seconds (default: 15)",
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)
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parser.add_argument(
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"--quality",
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default="480p",
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help="Stream quality (default: 480p)",
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)
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parser.add_argument(
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"--lang",
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default="ru",
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help="Language for descriptions (default: ru)",
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)
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parser.add_argument(
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"--log-file",
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default="stream_log.txt",
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help="Log file path (default: stream_log.txt)",
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)
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args = parser.parse_args()
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args.gemini_api_key = os.environ.get("GEMINI_API_KEY")
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if not args.gemini_api_key:
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parser.error("GEMINI_API_KEY must be set in .env or environment")
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args.gemini_base_url = os.environ.get("GEMINI_BASE_URL")
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return args
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