Image Analysis App

Overview

• Visual Answering Transformers Model is a deep learning-powered web app.
• Built using:
  • 🐍 Python
  • 🎈 Streamlit
  • 🤗 Hugging Face Transformers
• Enables users to:
  • Upload images
  • Ask questions (custom or predefined)
  • Receive AI-generated responses
• Powered by Salesforce’s BLIP (Bootstrapped Language-Image Pretraining) model.
• Perfect for:
  • 👨‍🔬 Researchers
  • 👨‍💻 Developers
  • 🤖 AI Enthusiasts

Features

1. AI-Powered Image Question Answering

• Upload any image (JPEG, PNG).
• Ask natural-language questions about the image.
• Get smart, AI-generated answers using BLIP.

2. Predefined + Custom Questions

• Choose from a list of common queries.
• Or type in your own questions to dive deeper.

3. Real-Time Feedback with Streamlit UI

• Interactive web interface.
• Smooth drag-and-drop image upload.
• Instant AI responses with loading indicators.

4. Optimized for GPU Acceleration

• Detects CUDA availability.
• Uses GPU (if available) for faster processing.

5. Clean, Minimal UI

• Streamlit-powered dashboard.
• Easy for users of all levels to explore image analysis with AI.

Quick Start

Prerequisites

Ensure the following are installed:

• Python 3.8+
• pip

Cloning the Repository

git clone https://github.com/TheODDYSEY/Visual-Answering-Transformers-Model.git
cd ai-image-question-answering

Installation

pip install -r requirements.txt

Running the App

streamlit run streamlit_app.py

Access the app via http://localhost:8501

Future Enhancements

• ⚡ Improve inference speed
• 📄 Integrate OCR for reading text in images
• 🧩 Add visualizations for more intuitive feedback