LangChain Automate

• Content Creators: Those who produce video content and require efficient ways to generate voiceovers and scripts.
• Marketers: Professionals looking to enhance their video marketing strategies with engaging narratives.
• Educators: Teachers and trainers who want to create instructional videos with voice narrations.
• Developers: Tech enthusiasts interested in automating video processing and narration using AI tools.

This workflow addresses the challenge of creating engaging voiceovers for videos by automating the extraction of frames, generating scripts using AI, and producing audio narrations. It streamlines the entire process, reducing the time and effort required to create professional-quality narrated videos.

• 1. Manual Trigger: The workflow starts when the user manually triggers it.
• 2. Download Video: A video is downloaded from a specified URL, which serves as the source material.
• 3. Capture Frames: The downloaded video is processed to extract up to 90 frames evenly distributed throughout the footage using Python and OpenCV.
• 4. Split Out Frames: The extracted frames are split into individual items for further processing.
• 5. For Every 15 Frames: The frames are grouped into batches of 15 to manage processing efficiently.
• 6. Resize Frame: Each frame is resized to 768x768 pixels for optimal input into the AI model.
• 7. Aggregate Frames: The resized frames are combined into a single data structure for script generation.
• 8. Generate Narration Script: Using the aggregated frames, a script is generated in the style of David Attenborough, creating a narrative for the video.
• 9. Use Text-to-Speech: The generated script is converted into an audio file (MP3 format) using OpenAI’s text-to-speech capabilities.
• 10. Upload to Google Drive: Finally, the audio file is uploaded to Google Drive for easy access and sharing.