# 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.
# Configure API request audio_config = speech.RecognitionConfig( encoding=speech.RecognitionConfig.AudioEncoding.MP4, sample_rate_hertz=16000, language_code="en-US", ) MM - Samuel Decker & Lucas Mancinni.mp4
# Make API request response = speech_client.recognize(config=audio_config, audio=audio) # Example usage video_file = "MM - Samuel
# Process response transcript = "" for result in response.results: transcript += result.alternatives[0].transcript including front-end UI
audio = speech.RecognitionAudio(uri=f"gs://{bucket_name}/{video_file}")
return transcript