Mm - Samuel Decker & Lucas Mancinni.mp4 -

# Make API request response = speech_client.recognize(config=audio_config, audio=audio)

from google.cloud import speech from google.cloud import storage import io MM - Samuel Decker & Lucas Mancinni.mp4

# Upload video to Google Cloud Storage bucket_name = "your-bucket-name" video_path = "path/to/your/video.mp4" video_blob = storage_client.bucket(bucket_name).blob(video_file) video_blob.upload_from_filename(video_path) # Make API request response = speech_client

# Example usage video_file = "MM - Samuel Decker & Lucas Mancinni.mp4" print(generate_transcript(video_file)) This example focuses on Google Cloud services for transcript generation. You would need to adapt it based on your tech stack and requirements. Implementing the full feature set described would require significant development, including front-end UI, back-end API, and possibly machine learning model training for summary generation. including front-end UI

return transcript

# Process response transcript = "" for result in response.results: transcript += result.alternatives[0].transcript