metadata

title: Image to Speech
emoji: 👀
colorFrom: indigo
colorTo: gray
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: image to speech

Visual Storyteller AI

An advanced multi-modal AI pipeline that transforms images into engaging audio narratives through a sophisticated orchestration of specialized models.

Project Overview

We're developing an end-to-end pipeline that bridges visual, textual, and auditory modalities by connecting state-of-the-art AI models to automatically generate narrative content from visual inputs.

Key Components

Image-to-Text: BLIP model implementation for context-aware image description generation
Knowledge Retrieval: Wikipedia-based RAG architecture for factual enrichment
Text-to-Story: GPT-3.5-turbo powered narrative construction
Story-to-Speech: HuggingFace's ESPnet speech synthesis for natural audio narration
Multi-Language Support: MarianMT translation models for global accessibility

Technical Highlights

Seamless model orchestration via API integration
Low-latency pipeline architecture with parallel processing
Contextual awareness throughout transformation stages
Cross-modal knowledge representation

Applications

Educational content creation
Accessibility tools for visually impaired users
Automated media production
Interactive storytelling experiences