Berdaflex VideoScribe: Revolutionizing Video Content Accessibility with AI

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package "User Interfaces" {
    [Web Interface\n(Gradio)] as WebUI
    [CLI Interface\n(Typer)] as CLI
    [Docker Support\n(Multi-stage)] as Docker
}

package "Core Processing Engine" {
    [7-Stage Pipeline] as Pipeline
    [Gemma 3n Models] as Models
    [MatFormer Manager] as MatFormer
}

package "AI Models" {
    [Gemma 3n E2B] as E2B
    [Gemma 3n E4B] as E4B
    [Multimodal Processor] as Multi
}

package "Output Generation" {
    [Markdown Documents] as MD
    [DOCX Documents] as DOCX
    [XML Debug Files] as XML
}

WebUI --> Pipeline
CLI --> Pipeline
Docker --> Pipeline

Pipeline --> Models
Models --> MatFormer
MatFormer --> E2B
MatFormer --> E4B
MatFormer --> Multi

Pipeline --> MD
Pipeline --> DOCX
Pipeline --> XML

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start
:Input Media File;

:Stage 1: Audio Processing\n"Extracts audio, transcribes it using Gemma 3n, detects the language, and prepares text segments.";
:Stage 2: Title Generation\n"Analyzes content structure and generates concise, AI-powered titles and section summaries.";
:Stage 3: Proofreading\n"Applies grammar correction, style enhancement, and validation for accuracy and context.";
:Stage 4: Video Processing\n"Extracts key frames, detects scenes, creates screenshots, and removes duplicates for relevance.";
:Stage 5: Screenshot Analysis\n"Uses AI to describe, analyze, and score visual content in extracted screenshots.";
:Stage 6: Synchronization\n"Aligns transcribed audio, generated text, and visuals with accurate timestamps and metadata.";
:Stage 7: Document Generation\n"Compiles and formats all results into multi-format, searchable Markdown or DOCX documents.";

:Final Output (Markdown/DOCX);
stop

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@startuml
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skinparam backgroundColor #FFFFFF
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package "Gemma 3n Core" {
    [Multimodal Processor] as Multi
    [MatFormer Manager] as MatFormer
    [Memory Optimizer] as Memory
    [Privacy Controller] as Privacy
}

package "Model Variants" {
    [E2B Model\n(2B Parameters)] as E2B
    [E4B Model\n(4B Parameters)] as E4B
    [Sub-Model Manager] as SubModel
}

package "Processing Capabilities" {
    [Audio Processing] as Audio
    [Visual Analysis] as Visual
    [Text Generation] as Text
    [Language Detection] as Lang
}

package "Optimization Features" {
    [Per-Layer Embeddings\n(PLE)] as PLE
    [Dynamic Switching] as Switch
    [Memory Management] as MemMgmt
    [Error Recovery] as Recovery
}

Multi --> MatFormer
MatFormer --> E2B
MatFormer --> E4B
MatFormer --> SubModel

Multi --> Audio
Multi --> Visual
Multi --> Text
Multi --> Lang

Memory --> PLE
Memory --> Switch
Memory --> MemMgmt
Memory --> Recovery

Privacy --> Multi
Privacy --> Memory

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@startuml
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skinparam backgroundColor #FFFFFF
skinparam componentStyle rectangle

package "MatFormer Manager" {
    [Model Selector] as Selector
    [Performance Monitor] as Monitor
    [Memory Tracker] as Tracker
    [Switch Controller] as Controller
}

package "Model Variants" {
    [E4B Model\n(High Quality)] as E4B
    [E2B Model\n(Fast Processing)] as E2B
    [Sub-Model\n(Custom Size)] as Sub
}

package "Task Types" {
    [Transcription] as Trans
    [Translation] as Trans2
    [Visual Analysis] as Visual
    [Text Generation] as Text
}

package "Quality Requirements" {
    [High Quality] as High
    [Fast Processing] as Fast
    [Memory Constrained] as Mem
    [Balanced] as Bal
}

Selector --> Monitor
Selector --> Tracker
Selector --> Controller

Monitor --> E4B
Monitor --> E2B
Monitor --> Sub

Trans --> High
Trans2 --> High
Visual --> Bal
Text --> Fast

High --> E4B
Fast --> E2B
Mem --> Sub
Bal --> E2B

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skinparam backgroundColor #FFFFFF
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package "Privacy Controller" {
    [External Call Blocker] as Blocker
    [Local Model Loader] as Loader
    [Data Protection] as Protection
    [Cleanup Manager] as Cleanup
}

package "Processing Context" {
    [Secure Processing\nEnvironment] as Secure
    [Temporary Storage] as Temp
    [Auto Cleanup] as Auto
    [No External APIs] as NoAPI
}

package "Data Flow" {
    [Input Video] as Input
    [Local Processing] as Local
    [Output Documents] as Output
    [Temporary Files] as TempFiles
}

Blocker --> Secure
Loader --> Local
Protection --> Temp
Cleanup --> Auto

Input --> Local
Local --> Output
Local --> TempFiles

Secure --> NoAPI
Temp --> Auto

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skinparam backgroundColor #FFFFFF
skinparam componentStyle rectangle

package "Language Support" {
    [Language Detector] as Detector
    [Translation Engine] as Translator
    [Cultural Adapter] as Cultural
    [Quality Validator] as Validator
}

package "Supported Languages" {
    [English] as EN
    [Russian] as RU
    [Spanish] as ES
    [French] as FR
    [German] as DE
    [Chinese] as ZH
    [Japanese] as JA
    [140+ Languages] as Others
}

package "Processing Flow" {
    [Input Language\nDetection] as Input
    [Content Translation] as Trans
    [Cultural Nuance\nPreservation] as Nuance
    [Output Language\nGeneration] as Output
}

Detector --> Input
Translator --> Trans
Cultural --> Nuance
Validator --> Output

Input --> EN
Input --> RU
Input --> ES
Input --> FR
Input --> DE
Input --> ZH
Input --> JA
Input --> Others

Trans --> EN
Trans --> RU
Trans --> ES
Trans --> FR
Trans --> DE
Trans --> ZH
Trans --> JA
Trans --> Others

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package "Batch Processor" {
    [Chunk Grouping] as Grouping
    [Optimal Batch Size\nCalculator] as Calculator
    [Batch Processor] as Processor
    [Result Parser] as Parser
}

package "Processing Stages" {
    [Audio Chunks] as Audio
    [Visual Frames] as Visual
    [Text Segments] as Text
    [Metadata] as Meta
}

package "Optimization Features" {
    [Memory Management] as Memory
    [GPU Utilization] as GPU
    [Parallel Processing] as Parallel
    [Cache Management] as Cache
}

Grouping --> Audio
Grouping --> Visual
Grouping --> Text
Grouping --> Meta

Calculator --> Processor
Processor --> Parser

Memory --> Processor
GPU --> Processor
Parallel --> Processor
Cache --> Processor

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@startuml
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skinparam backgroundColor #FFFFFF
skinparam componentStyle rectangle

package "Error Handler" {
    [Error Detector] as Detector
    [Recovery Strategist] as Strategist
    [Fallback Manager] as Fallback
    [Error Logger] as Logger
}

package "Recovery Strategies" {
    [Model Loading\nRecovery] as ModelRecovery
    [Memory Error\nRecovery] as MemoryRecovery
    [Processing Error\nRecovery] as ProcessingRecovery
    [Quality Error\nRecovery] as QualityRecovery
}

package "Fallback Mechanisms" {
    [Alternative Model] as AltModel
    [CPU Processing] as CPU
    [Reduced Quality] as Reduced
    [Graceful Degradation] as Degradation
}

Detector --> Strategist
Strategist --> Fallback
Logger --> Detector

ModelRecovery --> AltModel
MemoryRecovery --> CPU
ProcessingRecovery --> Reduced
QualityRecovery --> Degradation

Fallback --> ModelRecovery
Fallback --> MemoryRecovery
Fallback --> ProcessingRecovery
Fallback --> QualityRecovery

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@startuml
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skinparam backgroundColor #FFFFFF
skinparam componentStyle rectangle

package "Docker Images" {
    [CPU Variant\n(python:3.11-slim)] as CPU
    [GPU Variant\n(nvidia/cuda:12.9.1)] as GPU
    [Multi-Stage Build] as Build
}

package "Deployment Options" {
    [Docker Compose] as Compose
    [Kubernetes] as K8s
    [Cloud Deployment] as Cloud
    [Local Development] as Local
}

package "Environment Variables" {
    [PYTHONPATH=/app] as PYTHONPATH
    [CUDA_VISIBLE_DEVICES=0] as CUDA
    [HF_TOKEN] as HF_TOKEN
    [OUTPUT_DIR=/app/output] as OUTPUT
}

package "Volume Mounts" {
    [Input Directory] as Input
    [Output Directory] as Output
    [Model Cache] as Cache
    [Logs Directory] as Logs
}

CPU --> Compose
GPU --> K8s
Build --> Cloud
Build --> Local

Compose --> PYTHONPATH
K8s --> CUDA
Cloud --> HF_TOKEN
Local --> OUTPUT

Input --> CPU
Output --> GPU
Cache --> Build
Logs --> Build

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