Initial commit: Twitch Stream Vision Analyzer

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>

output.py

@@ -0,0 +1,27 @@
+import aiofiles
+from datetime import datetime
+
+from rich.console import Console
+from rich.panel import Panel
+
+console = Console()
+
+
+def print_description(description: str, frame_number: int) -> None:
+    timestamp = datetime.now().strftime("%H:%M:%S")
+    console.print(
+        Panel(
+            description,
+            title=f"[bold cyan]Frame #{frame_number}[/bold cyan] [{timestamp}]",
+            border_style="blue",
+        )
+    )
+
+
+async def log_description(
+    log_file: str, description: str, frame_number: int
+) -> None:
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+    line = f"[{timestamp}] Frame #{frame_number}: {description}\n"
+    async with aiofiles.open(log_file, "a", encoding="utf-8") as f:
+        await f.write(line)