🖼️ Classification API

A fully offline image classification api built with FastAPI (backend) and Streamlit (frontend).
Uses pre-trained PyTorch models (ResNet50) to classify images and display the top 5 predictions.

This project works completely offline once dependencies are installed, requiring no internet connection.

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🔹 Features

• ✅ Fully offline and free to use
• ✅ CPU-friendly (no GPU required for small models)
• ✅ Upload images through a simple Streamlit interface
• ✅ Returns top 5 ImageNet predictions with probabilities
• ✅ Easily switch to other PyTorch pre-trained models (e.g., EfficientNet)

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