uv pip install transfer-learning

pip install transfer-learning

import asyncio
from transfer_learning.core.video_processor import process_videos_async
from transfer_learning.guide.generator import GuideGenerator

async def process_and_generate():
    # Process a video
    result = await process_videos_async("path/to/video.mp4")
    
    # Generate a guide
    generator = GuideGenerator(result["output_dir"])
    guide = await generator.generate()
    
    print(f"Guide generated: {guide}")

# Run the async function
asyncio.run(process_and_generate())

import asyncio
from transfer_learning.core.video_processor import process_videos_async

async def process_multiple_videos():
    # Process multiple videos concurrently
    tasks = [
        process_videos_async("video1.mp4"),
        process_videos_async("video2.mp4"),
        process_videos_async("video3.mp4")
    ]
    results = await asyncio.gather(*tasks)
    return results

# Run the async function
results = asyncio.run(process_multiple_videos())

from transfer_learning.config import settings

# Override settings
settings.batch_size = 20
settings.max_concurrent_batches = 8
settings.openai_api_key = "your-api-key"

from transfer_learning.utils.exceptions import VideoProcessingError, GuideGenerationError

try:
    # Process a video
    result = await process_videos_async("path/to/video.mp4")
except VideoProcessingError as e:
    print(f"Error processing video: {e}")