A newer version of the Streamlit SDK is available: 1.57.0
metadata
title: Chest X-ray Disease Detection
emoji: 🚀
colorFrom: indigo
colorTo: blue
sdk: streamlit
sdk_version: 1.49.1
app_file: app.py
pinned: false
Chest X-ray Disease Detection
This project predicts whether a chest X-ray image is NORMAL or shows signs of PNEUMONIA using a deep learning model (MedicalCNN). It provides both a Jupyter Notebook for model training and a Streamlit app for interactive predictions.
Features
- Train a CNN model on chest X-ray images
- Evaluate model performance (accuracy, confusion matrix, classification report)
- Save and load trained model weights
- Streamlit web app for image upload and disease prediction
Files
Disease_Detection.ipynb: Jupyter Notebook for data loading, training, and evaluationapp.py: Streamlit app for interactive predictionsDisease_Detection_model.pth: Trained model weightsrequirements.txt: Python dependencies