---
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