🎿 Image-to-Audio Story Converter

🔗 Live Demo: genai-project-6b5bre75bfmupqpa8npwz5.streamlit.app

This project converts images into engaging audio stories using image captioning, text generation, and browser-based speech synthesis.

---

📌 Overview

The app performs the following steps:

1. 🖼️ Image-to-Text: Captions images using Salesforce/blip-image-captioning-base.
2. 📜 Text-to-Story: Expands captions into stories using GPT-2.
3. 🔊 Text-to-Speech: Converts stories into audio using browser's built-in SpeechSynthesis API.

---

🧠 Technologies Used

• Python: Core backend processing
• Streamlit: Frontend UI framework
• Hugging Face Transformers: Access to GPT-2 and image models
• Hugging Face Inference API: For accessing models like BLIP and GPT-2
• BLIP (Salesforce): Image captioning model
• Browser SpeechSynthesis: In-browser TTS using JavaScript (no external TTS API needed)

---

🚀 Setup & Usage

1. Clone the repository:

git clone https://github.com/fahad10inb/GenAI-Project.git
cd GenAI-Project

2. Install dependencies:

pip install -r requirements.txt

3. Run the app:

streamlit run app.py

4. Use the UI:

• Upload an image.
• View the AI-generated caption.
• Generate a story from the caption.
• Listen to the story using browser-based audio playback.

---

🔊 Text-to-Speech (Browser-based)

No need for external models or installations — audio is generated using the browser’s built-in SpeechSynthesis API.

💡 Works out of the box on Chrome, Edge, and Firefox with natural voices.

---

🌱 Future Enhancements

• Improve caption-to-story creativity with fine-tuned LLMs.
• Add multilingual support for narration.
• Allow custom voice selection and speech rate control.
• Optional export of audio to downloadable .wav using ESPnet locally.

---

👥 Contributors

• GitHub: Fahad10inb
• Email: fahadrahiman10@gmail.com

---